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Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 : Innovative Solutions Against COVID-19
| Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 : Innovative Solutions Against COVID-19 |
| Autore | Hassanien Aboul Ella |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (311 pages) |
| Altri autori (Persone) |
ElghamrawySally M
ZelinkaIvan |
| Collana | Studies in Systems, Decision and Control Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-77302-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 |
| Record Nr. | UNINA-9910497098303321 |
Hassanien Aboul Ella
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Environmental Sustainability and Green Initiatives / / edited by Aboul Ella Hassanien, Ashraf Darwish, Sally M. Elghamrawy
| Artificial Intelligence for Environmental Sustainability and Green Initiatives / / edited by Aboul Ella Hassanien, Ashraf Darwish, Sally M. Elghamrawy |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (361 pages) |
| Disciplina | 620 |
| Altri autori (Persone) |
DarwishAshraf
ElghamrawySally M |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Engineering mathematics
Engineering - Data processing Chemical engineering Environmental engineering Artificial intelligence Mathematical and Computational Engineering Applications Environmental Process Engineering Artificial Intelligence |
| ISBN | 3-031-63451-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Artificial Intelligence for Environmental Sustainability -- Recognizing Aluminum Beverage Cans from Waste Mixtures Based on Densenet121-CNN Model: Deep Learning Methodology -- 1 Introduction -- 2 Related Work -- 3 Aluminum Beverage Cans Recognition Model -- 4 Model Evaluation and Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Machine Learning-Based Forecasting of Electricity Demand for Sustainable Electricity Planning -- 1 Introduction -- 2 Methods and Background -- 2.1 Support Vector Regression -- 2.2 Random Forest -- 2.3 EXtreme Gradient Boosting -- 2.4 Autoregressive Integrated Moving Average -- 3 Dataset Description -- 4 The Proposed Electricity Demand Forecasting Model -- 4.1 Data Pre-processing Phase -- 4.2 Time Series Forecasting Phase -- 5 Experimental Results and Discussion -- 6 Conclusions and Future Work -- References -- Using Artificial Intelligence Techniques in Water Quality Analysis and Prediction: Towards Sustainability -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Phase 1: Data Collection and Characteristics -- 3.2 Phase 2: Data Preprocessing -- 3.3 Phase 3: Predicting the Potability of Water Using Machine Learning Classification Methods -- 4 Experimental Study -- 4.1 Experimental Results -- 5 Conclusion and Future Work -- References -- Flowers Classification with Low Carbon Footprint Using Deep Learning Pretrained Models -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 3.1 Training Phase -- 3.2 Testing Phase -- 4 Dataset Characteristics and Pre-processing -- 5 Experiments and Results -- 6 Conclusion and Future Work -- References -- Measuring Global Warming Effect by the Prediction of Climate Change on the Different Countries Using Machine Learning Approaches -- 1 Introduction -- 2 Background -- 2.1 Support Vector Machine.
2.2 Artificial Neural Network -- 2.3 Decision Trees -- 2.4 Ensemble Methods -- 3 Climate Change Prediction System Description -- 3.1 Preprocessing -- 3.2 Model Selection -- 3.3 Step Wise Linear Regression -- 3.4 Optimization -- 4 Experimental Results -- 4.1 Evaluation Metrics -- 5 Conclusion and Future work -- References -- Towards Sustainable and Green Agriculture: Integrating Machine Learning and Fuzzy Rough Set Analysis to Enhance Fruit Classification and Ripeness Detection -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model for Discriminating Fruit Types Using Mineral Composition Data -- 4 Experimental Results and Analysis -- 4.1 Dataset Description -- 4.2 Statistical Analysis: Mineral Composition Analysis -- 4.3 Feature Selection Based on FRS -- 4.4 Fruit Discrimination Using Support Vector Machines (SVMs) -- 5 Conclusion and Future Works -- References -- Classifying Bird Songs Based on Chroma and Spectrogram Feature Extraction -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Bird Song Dataset Description -- 3.2 Feature Extraction -- 3.3 Mel Spectrogram -- 3.4 Chroma -- 3.5 Support Vector Machine -- 3.6 CNN -- 3.7 Spectral Features and Feature Learning -- 4 Experimental Results -- 5 Conclusions -- References -- Fish Recognition Using MobileNet-V2 and MAR-Based Metaverse for an Educative Marine Life System -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Extended Reality (XR) -- 3.2 Mobile Augmented Reality (MAR) -- 3.3 The Role of AI in the Metaverse -- 3.4 The Importance of Deep Learning and Image Processing for the Speed of Object Detection in the Metaverse -- 3.5 Machine Learning Technique Transfer Learning -- 4 The Proposed Model -- 4.1 Virtual World -- 4.2 Metaverse Engine -- 4.3 The Physical Worlds -- 5 Experiments Results and Discussion -- 5.1 Experiment I: Training Based Adam Optimization Algorithm. 5.2 Experiment II: Training Based SGD Optimization Algorithm -- 5.3 Experiment III: Training Based RMSprop Optimization Algorithm -- 5.4 The Testing Results -- 6 Conclusion -- References -- Biodiesel Yield Prediction from Sunflower Oil Using Artificial Intelligence: Towards Sustainable, and Renewable Energy Sources -- 1 Introduction -- 2 Literature Review -- 3 Preliminaries -- 3.1 Artificial Intelligence -- 3.2 Biodiesel as a Renewable Energy Source -- 4 Proposed Framework and Methodology -- 4.1 Phase 1: Classification of Sunflower Diseases Using VGG16 Model -- 4.2 Phase 2: Prediction of Biodiesel Yield from Sunflower Oil Using GBR Model -- 5 Results and Discussion -- 5.1 Performance Metrics -- 5.2 Results of VGG16 in Phase 1 -- 5.3 Results of GBR in Phase 2 -- 6 Comparison with Other Related Work Models -- 6.1 Validation of the VGG16 Model Performance -- 6.2 Validation of the GBR Model Performance -- 7 Conclusion and Future Work -- References -- Applications and Innovations in Green Initiatives -- Snake Optimization of Multiclass SVM for Efficient Diagnosis of Heart Disease Risk Prediction -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Dataset Details -- 5 Support Vector Machine -- 6 Snake Optimization (SO) Algorithm and Its Mathematical Model -- 6.1 The Proposed OFA for SVM Parameter Optimization Algorithm -- 7 Results and Discussions -- 8 Conclusion -- References -- Efficient Prediction Adverse Drug-Drug Interactions with Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 4 Experimental Design -- 4.1 Benchmark Dataset -- 4.2 Pre-processing Data -- 4.3 Technical Processing and Chemical Characteristics -- 4.4 Proposed Model -- 5 Results and Discussions -- 5.1 Statistical Analysis -- 5.2 Comparison and Result Validation for State-of-the-Art Study -- 5.3 Experimental Discussions -- 6 Conclusion. References -- Drones and Birds Detection Based on InceptionV3-CNN Model: Deep Learning Methodology -- 1 Introduction -- 2 Related Work -- 3 "Drone Versus Bird" Detection Recognition Model: Inception V3-CNN -- 4 Model Evaluation and Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Deep Artificial Neural Network Regression Model for Synergistic Drug Combination Prediction -- 1 Introduction -- 2 Background -- 2.1 Drugs Combination -- 2.2 Deep Learning -- 3 Related Work -- 4 The Proposed Model -- 4.1 Dataset -- 4.2 Phase 1: Features Extraction -- 4.3 Phase 2: Feature Selection and Data Pre-processing -- 4.4 Phase 3: Implementation and Model Evaluation -- 5 Experimental Results -- 6 Conclusion -- References -- Classification of Benign and Malignant Breast Tumor Based on Machine Learning and Feature Selection Algorithms -- 1 Introduction -- 2 Related Work -- 3 Data Description -- 4 Proposed Model -- 4.1 Data Preprocessing -- 4.2 Feature Selection -- 4.3 Classification -- 5 Experimental Results -- 5.1 Evaluation Metrics -- 5.2 Evaluation -- 6 Conclusion and Future Work -- References -- Enhancing Synergistic Drug Combination Model Through Dimension Reduction in Cancer Cell Lines -- 1 Introduction -- 2 Implementation Approach -- 2.1 Feature Selection Techniques -- 2.2 Implementation Models -- 3 Experimental Results -- 3.1 Dataset Characteristics -- 3.2 Evaluation Metrics -- 3.3 Global Settings -- 3.4 Results and Discussion -- 4 Conclusion -- References -- A Novel Dynamic Chaotic Golden Jackal Optimization Algorithm for Sensor-Based Human Activity Recognition Using Smartphones for Sustainable Smart Cities -- 1 Introduction -- 2 Related Work -- 3 Golden Jackal Algorithm -- 3.1 Initialization -- 3.2 Exploration Phase -- 3.3 Exploitation Phase -- 3.4 Exploration-Exploitation Transition -- 4 Proposed Approach -- 4.1 Dynamic Opposite Learning. 4.2 Chaotic Maps Learning -- 4.3 The Proposed IGJO -- 5 Experimental Results -- 5.1 Parameter Settings and Evaluation Metrics -- 5.2 Experiment 1: Global Optimization Test -- 5.3 Experiment 2: IGJO as Feature Selection for HAR -- 6 Conclusion and Future Work -- References -- Artificial Intelligence in Finance Sector for Risk Prediction -- 1 Introduction -- 2 Artificial Intelligent Techniques for Risk Prediction in Finance -- 3 Related Work -- 4 Methodology and Data -- 4.1 Data Set Description -- 4.2 Data Set Analysis -- 4.3 Modelling Method and Results -- 5 Conclusion -- References -- Ensemble Regression Tree with Bayesian Optimization for Prediction of Biochemical Oxygen Demand and Climate Impact Assessment in Full Scale Waste Water Treatment Plant -- 1 Introduction -- 2 Related Work -- 3 Basics and Background -- 3.1 Feature Selection -- 3.2 Ensemble Regression Tree -- 3.3 Bayesian Optimization -- 3.4 Performance Metric -- 4 The Proposed Optimized Predictive Model -- 5 Results, Discussion and Analysis -- 5.1 Dataset-Statistical Description -- 5.2 Results and Analysis -- 6 Conclusion and Future Work -- References -- Enhancing Dynamic Wind Power Forecasting Using Cluster-Based Intelligence Swarm Optimization Technique -- 1 Introduction -- 2 Related Work -- 3 The Proposed Wind Power Forecasting Technique -- 4 Experimental Results -- 4.1 SDWPF Dataset -- 4.2 Experiment Setup -- 4.3 Evaluation Measures and Comparative Analysis of the CISWP Technique -- 5 Conclusions -- References -- Sustainable Green Cognitive Radio Networks: Optimized Deep Transfer Learning Model for Energy Consumption -- 1 Introduction -- 2 Cognitive Radio Network's System Model -- 3 Related Works -- 4 The Proposed Optimized Deep Transfer Learning Model (ODTL) in GNRNs -- 4.1 The African Vultures Optimization Algorithm (AVOA) -- 5 Experiment Results and Discussion. 5.1 Testing the Energy Consumption After Applying the Proposed ODTL-GCRN. |
| Record Nr. | UNINA-9910878988603321 |
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Hassanien Aboul Ella
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Intelligence and Information Technology : Proceedings of BIIT 2022 / / edited by Aboul Ella Hassanien, Dequan Zheng, Zhijie Zhao, Zhipeng Fan
| Business Intelligence and Information Technology : Proceedings of BIIT 2022 / / edited by Aboul Ella Hassanien, Dequan Zheng, Zhijie Zhao, Zhipeng Fan |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (818 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ZhengDequan
ZhaoZhijie FanZhipeng |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Computational intelligence
Operations research Business—Data processing Computational Intelligence Operations Research and Decision Theory Business Informatics |
| ISBN | 981-9934-16-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Research on the Incentive Mechanism of Publishing Editors Based on Psychological Contract -- Evaluation of China’s Digital Agriculture Development Level Under the Entropy Method -- Research on Patent Cooperation Network of Patent-Intensive Industries in Heilongjiang Province from the Perspective of Complex Network -- Study of Egg Product Supply Chain Benefit Allocation Based on Fuzzy Shapley Value -- Trilateral Evolutionary Game Analysis of Personal Information Use and Protection in the Digital Economy -- Research on the Evaluation of Tourism Digital Content Marketing Based on PCA-AHP. |
| Record Nr. | UNINA-9910734899103321 |
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Hassanien Aboul Ella
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Intelligence and Information Technology : Proceedings of the International Conference on Business Intelligence and Information Technology BIIT 2021
| Business Intelligence and Information Technology : Proceedings of the International Conference on Business Intelligence and Information Technology BIIT 2021 |
| Autore | Hassanien Aboul Ella |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (884 pages) |
| Altri autori (Persone) |
XuYaoqun
ZhaoZhijie MohammedSabah FanZhipeng |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030926328
9783030926311 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- General Chair -- General Co-chairs -- Technical Program Committee Chair -- Technical Program Committee Co-chair -- Publication Chair -- Publication Co-chair -- Organizing Committee Chairs -- Technical Program Committee Members -- Contents -- Digital Economy and E-commerce Technolgoies -- Digital Economy and High-Quality Development of Manufacturing Industry -- 1 Introduction -- 2 Mechanism Analysis and Hypothesis Development -- 2.1 Reshapes the Ecology of Manufacturing Industry -- 2.2 Reduce Ease of Cost -- 2.3 Stimulating Demand Creation -- 3 Status Analysis -- 3.1 Index System Design -- 3.2 Entropy Weight Method -- 4 Empirical Analysis -- 4.1 Variable Design -- 4.2 Econometric Model Setting and Descriptive Statistics of Variables -- 4.3 Empirical Test and Result Analysis -- 4.4 Robustness Test -- 5 Conclusions and Recommendations -- References -- Research on the Mechanism of Promoting the Development of High-Efficiency and Featured Tropical Agriculture in Hainan Relying on the Digital Economy -- 1 Introduction -- 2 Related Literature Research and Analysis -- 2.1 Digital Economy Is Gradually Becoming a Hotspot in Economics Research -- 2.2 The Development and Integration of Digital Economy and Agriculture Is the Focus of Attention in the Economic -- 2.3 Research Review -- 3 The Necessity of Relying on the Digital Economy to Promote the Development of HECTA in Hainan -- 3.1 Hainan Has a Relatively Low Starting Point for the Development of HECTA -- 3.2 The Construction of an FTP Provides New Opportunities for Hainan to Develop HECTA -- 3.3 The Digital Economy Has Inserted "Digital Wings" for Hainan's Development of HECTA -- 4 An Effective Mechanism to Promote the Development of Hainan's HECTA with the Digital Economy.
4.1 Establish and Complete a Cooperation Mechanism to Achieve Full Coverage of Digital Infrastructure Construction -- 4.2 Relying on the Digital Economy to Promote the Effective Mechanism of the Development of Hainan's HECTA -- 4.3 Establish and Improve the Training Mechanism of Agricultural Digital Pioneers -- 4.4 Establish and Improve the Guarantee Mechanism for the Legal Information Flow Security of Data and Information Collection -- 5 Conclusion -- References -- The Impact of Digital Economy on China's Low-Carbon Development -- 1 Introduction -- 2 Research Hypothesis -- 3 Methodology and Data -- 3.1 Model Building -- 3.2 Data Selection -- 4 Results and Discussion -- 4.1 Baseline Regression Test Results -- 4.2 Technology Innovation Conduction Path -- 4.3 Heterogeneity Analysis of East, Central and West Regions -- 5 Conclusions -- References -- The Impact of the Digital Economy on Inclusive Growth--Empirical Study Based on the Spatial Econometric Model -- 1 Introduction -- 2 Literature Review -- 3 The Construction of the Inclusive Growth System -- 3.1 Inclusive Growth Evaluation System -- 3.2 Measuring the Level of Inclusive Growth -- 4 Variable Selection, Data Sources, and Model Construction -- 4.1 Selection of Variables -- 4.2 Data Sources -- 4.3 Model Construction -- 5 Analysis of the Empirical Results -- 5.1 Spatial Correlation Test -- 5.2 Analysis of Spatial Measurement Results -- 5.3 Spatial Effect Decomposition -- 5.4 Robustness Test -- 6 Conclusions and Recommendations -- 6.1 Conclusions -- 6.2 Recommendations -- References -- Evolutionary Game Analysis of Digital Innovation Ecosystem Governance -- 1 Introduction -- 2 Analysis on Dovernance Subject of Digital Innovation Ecosystem -- 2.1 Characteristics of Digital Innovation Ecosystem -- 2.2 Composition of Participants in Digital Innovation Ecosystem Governance. 2.3 The Relationship Between the Participants in the Governance of Digital Innovation Ecosystem -- 3 Construction of Evolutionary Game Model -- 3.1 Description of Model Assumptions and Variables -- 3.2 Tripartite Evolutionary Game Model -- 3.3 Evolutionary Game Equilibrium Analysis -- 3.4 Model Simulation Analysis -- 4 Conclusions and Recommendations -- References -- Measurement and Comparison of Digital Economy Development of Cities in China -- 1 Introduction -- 2 Literature Review -- 3 Indicator System and Research Method -- 3.1 Digital Economy Indicator System -- 3.2 Research Method -- 4 Analysis of the Development Level of the Digital Economy -- 4.1 Analysis of the Development Level of the Digital Economy in Sub-provincial Cities -- 4.2 Analysis of Each Dimension -- 5 Conclusions and Recommendations -- References -- Occupational Risks and Guarantee Path of the Delivery Man in Digital Economy -- 1 Introduction -- 2 The System Scenario of Takeout Workers in the Digital Economy -- 3 The Occupational Risks of Takeout Workers Under the Digital Economy -- 3.1 Safety Risks -- 3.2 Health Risks -- 3.3 Stability Risks -- 3.4 Insurance Risks -- 4 Reasons for the Occupational Risks of Takeout Workers Under the Digital Economy -- 4.1 Digitized Involution of Platform Companies Leads to the Cycle and Upgrading of Occupational Risk -- 4.2 The Replacement of the Evaluation Right in the Social Networks Leads to the Increased Uncertainty of Occupational Income Risk -- 4.3 The Dilemma Under the Living Income and Expenditure Leading to the Situation that the Delivery Man Can Not Avoid Risks by Themselves -- 4.4 Problems of Social Security Coverage Leads to the Situation that Worries of Occupational Risks Can Not Be Relieved -- 5 The Ideas of Protecting the Professional Rights and Interests of Takeout Workers Under the Digital Economy. 5.1 Upgrade the Transportation and Workflow of Delivery Workers Starting When the 'action' Is Assigned to the 'identity' -- 5.2 Improve the Welfare of Delivery Workers and Start Employment Training to Empower 'actors' -- 5.3 From the Perspective of 'control Power' Balance, the Evaluation Mechanism and Industry Guidelines Should be Formulated -- 5.4 With the Scope of Public Policy of the Government Which Is One of 'actors', Strengthen the Expansion of Basic Social Insurance and the Exploration of Occupational Injury Insurance -- 6 Conclusion -- References -- Research on E-commerce Recommended Algorithm Based on Knowledge Graph -- 1 Introduction -- 2 Research and Analysis of Recommendation Algorithm in E-commerce -- 3 Research on New Recommendation Algorithm -- 3.1 Integrate Commodity Entities and User Comments in the Knowledge Graph -- 3.2 Feature Weight Allocation of Commodity Recommendation -- 3.3 Experimental Algorithm Design and Evaluation Index -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Research on Regional Heterogeneity in the Impact of Digital Inclusive Finance on the Diversification of Household Financial Asset Allocation -- 1 Introduction -- 2 Literature Review -- 3 Model Setting and Variable Introduction -- 3.1 Data Introduction -- 3.2 Model Setting and Variable Description -- 4 Empirical Tests -- 4.1 The Impact of Total Digital Inclusion Indicators on Household Financial Asset Allocation Diversification -- 4.2 The Impact of Digital Inclusive Finance Sub-indicators on Household Financial Asset Allocation Diversification -- 4.3 The Heterogeneous Impact of Digital Inclusive Finance on Household Financial Asset Allocation in Different Regions -- 4.4 The Differential Impact of Digital Inclusive Finance on the Diversity of Financial Asset Allocation of Urban and Rural Households -- 4.5 Robustness Tests -- 5 Conclusion. References -- Research on the Countermeasures for the Development of Agricultural and Rural Digital Economy -- 1 Introduction -- 2 Development Status of Agricultural and Rural Digital Economy -- 2.1 Development of Government Public Agricultural Information Platform -- 2.2 Construction of Government Public Agricultural Information Platform -- 2.3 Agricultural and Rural Digital Economy Industry Development -- 3 Problems in the Development of Agricultural and Rural Digital Economy -- 3.1 Incomplete Communication Infrastructure -- 3.2 Low Utilization of Farmers' Information -- 3.3 The Unbalanced and Inadequate Development of the Agricultural Digital Economy Industry -- 4 Countermeasures to Develop Agricultural and Rural Digital Economy -- 4.1 Strengthen the Construction of Digital Infrastructure -- 4.2 R& -- D and Promotion of Agricultural Information Platform -- 4.3 Accelerate the Development of Digitalization of the Agricultural Industry -- References -- Research on the Countermeasures of Digital Intelligence Transformation and Upgrading of Innovative Manufacturing Enterprises -- 1 Introduction -- 2 Characteristics, Transformation Process and Development Needs of Innovative Manufacturing Enterprises -- 2.1 Concept and Characteristics of Innovative Manufacturing Enterprises -- 2.2 The Process of Economic Transformation and Upgrading of Innovative Manufacturing Enterprises -- 2.3 Development Needs of Innovative Manufacturing Enterprises -- 3 Digital Intelligence Platform Architecture of Innovative Manufacturing Enterprises -- 3.1 Construction of Digital Intelligence Platform -- 3.2 Specific Implementation Scheme of Data Mining in Innovative Manufacturing Enterprises -- 4 Management Countermeasures for Digital Intelligence Transformation and Upgrading of Innovative Manufacturing Enterprises -- 5 Conclusions -- References. Data Mining and Association Rules. |
| Record Nr. | UNINA-9910513582403321 |
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Hassanien Aboul Ella
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 2
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 2 |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (662 pages) |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819735914
9789819735907 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Bangladeshi CF Guard: Unveiling Bangladeshi Counterfeit Currency Through Transfer Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Security Features' Analysis -- 3.2 Data Collection -- 3.3 System Architecture -- 4 Result and Discussion -- 4.1 Experimental Outcomes -- 4.2 Discussion -- 5 Conclusion -- 5.1 Conclusion -- 5.2 Limitations and Future Work -- References -- Recognition of Sign Language Using Hybrid CNN-RNN Model -- 1 Introduction -- 2 Literature -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Classification and Recognition -- 3.3 Proposed Work -- 4 Evaluation Strategies -- 4.1 Dataset -- 5 Experiment and Result -- 5.1 Dataset I -- 5.2 Dataset II -- 6 Conclusion and Future Direction -- References -- Nanotech Drones: An Investigation of Air Quality Index in Environment -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 3 Discussions and Results -- 3.1 Air Quality Index -- 3.2 Working of Nanotech Drone -- 4 Conclusion -- References -- Systematic Vulnerability Assessment: Mapping Architecture Flow and Ranking Components for Vulnerability in Connected Automated Vehicles -- 1 Introduction -- 2 Literature Review -- 3 Architectural Flow -- 4 Scoring Criterion -- 5 Score Analysis -- 6 Results and Discussions -- 7 Conclusions -- References -- AI and Blockchain in Food and Beverage: Marketing 5.0 Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Starbucks Advanced Advertising -- 2.2 Digital Promotion -- 2.3 Marketing 5.0 -- 2.4 Applications of Blockchain Technology in F& -- B Industry -- 3 Methodological Framework -- 3.1 Exploring Knowledge Through Group Discussions -- 3.2 Quantitative and Qualitative Analysis of Content -- 3.3 The Analytical Cognizance of Content Scrutiny -- 4 Results.
5 Conclusion and Recommendations for Further Research -- References -- A Deep Learning-Based Cervical Tumor Classification System for Telehealthcare Monitoring -- 1 Introduction -- 2 Literature-Related Works -- 3 Stages of Prior Cervical Cancer -- 4 Class Activation Map (CAM) -- 5 System Methodology -- 5.1 Analyzing Prior Tumor Infiltration Evidence -- 5.2 DCNN Based on Prior Evidence -- 6 Experimental Findings -- 6.1 Improvement of Prediction Based on Prior Evidence -- 6.2 Staging Methods for Cervical Cancer Compared to Others -- 7 Conclusion -- References -- Big Data-Driven Intelligence Healthcare Framework for Smart Citizen -- 1 Introduction -- 1.1 The Importance of Big Data -- 1.2 Intelligent System for Healthcare -- 2 Background and Related Work -- 2.1 Digitization of Healthcare and Big Data -- 2.2 Technologically Advanced Urban Areas (Modern City) -- 2.3 Optimal Health -- 3 Dimensional Framework Paradigm -- 3.1 Advanced Healthcare Technologies -- 4 Proposed Intelligent Healthcare System -- 5 Pros, Cons, and Application -- 6 Conclusion -- References -- Smart Device with Arduino Controller for Home Inverter -- 1 Introduction -- 2 Design of Proposed System -- 2.1 Mathematical Analysis of Proposed System -- 2.2 Mathematical Calculations of Proposed System -- 2.3 Algorithm and Flowchart -- 3 Hardware Results and Discussions -- 4 Conclusion -- References -- Feature Selection with Particle Swarm for Improved Classification on High-Dimensional Datasets -- 1 Introduction -- 2 Literature Survey -- 2.1 PSO-Based Approaches -- 2.2 ACO-Based Approaches -- 2.3 FA-Based Approaches -- 2.4 GWO-Based Approaches -- 2.5 SSO-Based Approaches -- 3 Proposed Methodology -- 3.1 PSO-Based Feature Selection -- 3.2 PSO Pseudocode -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Comparative Analysis -- 4.3 Statistical Analysis -- 4.4 Runtime Computation (min:sec:milli_sec). 5 Conclusion -- References -- Breast Cancer Prediction Using Hybridization of Machine Learning and Optimization Technique -- 1 Introduction -- 2 Literature Survey -- 2.1 Previous Work Done Using Machine Learning Classifiers -- 2.2 Previous Work Done Using Deep Learning -- 2.3 Previous Work Done Using Optimization Techniques -- 2.4 Previous Work Done Using Genetic Algorithm -- 3 Methodology -- 3.1 Classifiers Used -- 3.2 Dataset Used -- 3.3 Optimization Technique Used -- 3.4 Parameters Setting -- 3.5 Implementation -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Securing Pictorial Data Transfer Through a Novel Digital Image Encryption Method -- 1 Introduction -- 2 Proposed Work -- 3 Structure of Encryption -- 4 Concept of Decryption -- 5 Pictorial Representation -- 6 Comparison with Visual Cryptography -- 7 Conclusion -- Appendix -- The idea of rotating matrices -- References -- IoT Routing Reimagined: Dynamic Phantom Routing with ACO for Efficient Source Location Privacy -- 1 Introduction -- 1.1 Contributions -- 1.2 Organization -- 2 Related Works -- 3 Problem Statement -- 4 Proposed System -- 4.1 Network Condition-Based Dynamic Phantom Node Selection (NCDPNS) -- 4.2 Bio-inspired Algorithm-Aided Multi-path Selection-Based Routing (BAMSR) -- 5 Results -- 6 Conclusion and Future Work -- References -- Deep Learning-Based Evaluation of ICU Requirements in COVID-19 Cases -- 1 Introduction -- 2 Related Works -- 3 Overview the Proposed System -- 4 Methodology -- 5 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- Deep Learning-Based Tea Fermentation Grading -- 1 Introduction -- 2 Related Work -- 3 Methods and Materials -- 4 Evaluation -- 5 Results -- 6 Comparison -- 7 Conclusion -- 7.1 Statements and Declarations -- References. An Exploratory Study of the Relationship Between Students' Positive Attitudes Toward Artificial Intelligence and Computational Thinking Needed in the 6G Communications' Era -- 1 Introduction -- 2 Methodology -- 2.1 Survey Procedure and Survey Participants -- 2.2 Questionnaire Items -- 2.3 Analysis Procedure -- 3 Results -- 3.1 Preliminary Analysis -- 3.2 Descriptive Statistics of Positive Awareness of AI and Computational Thinking -- 3.3 Results of Logistic Regression Analysis -- 4 Discussions -- 4.1 Implications for Educational Program Development -- 5 Conclusion -- References -- Optimization of Double-Tuned Mass Dampers via Jaya Algorithm -- 1 Introduction -- 2 Methodology -- 3 The Numerical Example -- 4 Conclusion -- References -- Application of Wavelet Packet Transform for Detecting Bearing Issues -- 1 Introduction -- 2 History of Motor Vibration Data -- 3 Time-Frequency Domain Analysis -- 3.1 Analysis Based on DWT -- 3.2 Analysis Based on WPT -- 4 Results and Discussion -- 4.1 DWT-Based Frequency Range Determination of Outer Race Defect -- 4.2 WPT Based on Frequency Range Determination of Outer Race Fault -- 5 Conclusion and Future Scope -- References -- Detection of Potholes in Roads Using Siamese Neural Network for Safe Transportation -- 1 Introduction -- 2 Literature Survey -- 3 Methods and Technology Used -- 3.1 Dataset -- 3.2 Siamese Neural Network -- 3.3 Contrastive Loss Function -- 3.4 Training & -- Testing Set -- 3.5 Proposed Methodology -- 4 Results and Analysis -- 5 Conclusion -- References -- On the Security of Privacy-Preserving Bilateral Attribute-Based Encryption -- 1 Introduction -- 1.1 Our Contribution -- 2 The Scheme Presented by Sun et al. -- 2.1 System Model -- 2.2 Algorithms -- 2.3 Detailed Scheme -- 3 Cryptanalysis of the Scheme -- 3.1 Violating Receiver Privacy -- 3.2 Violating Sender Privacy -- 4 Conclusion. References -- Analyzing the Financial Performance of Corporate Social Responsibility Using Machine Learning-Enabled Financial Enterprise Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Method: Machine Learning Using a Financial Enterprise Model -- 4 Result and Discussion -- 5 Conclusion -- References -- A Survey on Driver Monitoring System Using Computer Vision Techniques -- 1 Introduction -- 2 Motivation -- 3 Literature Review -- 4 The Proposed System -- 4.1 Drowsiness Detection -- 4.2 Gaze Detection -- 4.3 Activity Recognition -- 4.4 Emotion Recognition -- 5 Conclusion -- References -- ICT-Based Smart Cities Planning: A Case Study of Rashid Camp -- 1 Introduction -- 2 Smart City: A Contemporary Revolution for Urban Space Management -- 3 The Geographic Information System (GIS) and Remote Sensing (RS): Smart Planning Support Tool -- 4 Description of the Case Study Al-Rashid Camp -- 5 Methodology and Approach -- 6 Results and Discussion -- 7 Conclusion -- References -- Detection of Hate Speech Using Ensemble Models -- 1 Introduction -- 2 Related Works -- 3 Experimental Setup and Proposed Methodology -- 3.1 Datasets -- 3.2 Data Collection and Preprocessing -- 3.3 Models -- 3.4 Classifier Evaluation -- 4 Result and Discussion -- 4.1 Model Training and Evaluation Metrics -- 5 Result and Discussion -- 6 Conclusion -- References -- Development of Dermatological Lesion Detection System Using EfficientNet with Fairness Evaluation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Methodology Flowchart -- 3.2 Algorithm Used -- 3.3 Proposed Model's Pseudocode -- 3.4 Steps Followed -- 4 Experimental Results and Discussion -- 4.1 Dataset Used -- 4.2 Performance Assessment -- 4.3 Performance Comparative Analysis -- 5 Conclusion -- References -- Quantum Computing's Path to Supremacy: Progress in the NISQ Epoch -- 1 Introduction. 2 The History of Quantum Computing. |
| Record Nr. | UNINA-9910878065203321 |
|
Hassanien Aboul Ella
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 1
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 1 |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (620 pages) |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 9789819735884 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Design and Simulation of a Graphene Material-Based Tuneable Nanoantenna for THz Applications -- 1 Introduction -- 2 Antenna Design and Modelling -- 2.1 Graphene Conductivity Modelling -- 2.2 Antenna Design and Simulation -- 3 Results and Discussion -- 4 Conclusion -- References -- Unveiling Superior Lane Detection Techniques Through the Synergistic Fusion of Attention-Based Vision Transformers and Dense Convolutional Neural Networks -- 1 Introduction -- 2 Description of Proposed Methodology -- 2.1 Attention-Based Vision Transformer (AVT) -- 2.2 Occlusion-Aware Classification Boost (OACB) -- 2.3 Dense Convolutional Neural Network (DCNN) -- 3 Experiments -- 3.1 Implementation Details -- 3.2 Dataset Description -- 3.3 Qualitative Analysis -- 3.4 Comparative Analysis of Other State-of-the-Art Methods -- 4 Conclusion -- References -- Artificial Intelligence Intervention in Human Resource Management Practices -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusion -- 6 Scope for Future Studies -- References -- Smart Traffic: Real-Time Tracking, Vehicle Detection, and Congestion Alert System -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Objective of the Paper -- 1.3 Motivation -- 1.4 Existing Systems -- 1.5 Proposed System -- 1.6 Scope -- 2 Proposed Solution -- 3 Architecture -- 4 Results and Analysis -- 5 Conclusion -- References -- Improve the Design of the Antenna by Using Polynomial Regression -- 1 Introduction -- 2 Design the Patch Antenna -- 3 Method of Regression -- 4 Conclusions -- References -- An Artificial Intelligence-Based Energy-Efficient Approach for Wireless Sensor Networks Enabled IoT -- 1 Introduction -- 2 Problem Formulation -- 3 Multi-objective Optimization (MOO) -- 3.1 BBO -- 4 Proposed Algorithm.
5 Simulation Results -- 6 Conclusion -- References -- Progressive Feature Engineering for Genre Classification of Short Poems -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Data Acquisition and Dataset -- 3.2 Feature Buckets Approach -- 3.3 Hybrid Dimensionality Reduction -- 3.4 Classifiers -- 4 Performance Evaluation -- 4.1 Discussion -- 5 Conclusion and Future Works -- References -- Dynamic Game Scheme-Based Interactive Sanitization Model to Mitigate Prognostic Reverberation of Covid-19 -- 1 Introduction -- 2 System Model -- 3 Smart Game Theoretic Sanitization Model -- 4 Covi-Fit Mean Field Game -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Design, Interface, and Control of Smart Two-Axis Table for Plotting and Drilling Operations Based on Atmega328P Microcontroller -- 1 Introduction -- 2 System Hardware Components -- 2.1 CD/DVD Mechanism -- 2.2 Arduino Microcontroller -- 2.3 The 3D-Design of XY Table Machine and Frame Dimension -- 2.4 Control CNC Machine Using Raspberry Pi 3 and Arduino UNO -- 2.5 CNC Machine with Image Processing -- 3 Calibration and Settings for the Stepper Motor -- 3.1 Calibration Stepper Motor -- 3.2 Resolution for Stepper Motor -- 3.3 Simulink for Two-Phase Stepper Motor Sign Equation -- 3.4 Percentage of Enhancement -- 4 System Implementation and Results -- 4.1 Implementation of XY Table Machine -- 4.2 Result for the Prototype -- 4.3 Result for the Second Prototype -- 4.4 Result in Bitmap Image from Image Processing -- 5 Conclusion and Future Work -- References -- Smart Waste Management Using IOT and ML -- 1 Introduction -- 2 Objective -- 3 Literature Review -- 4 Equations -- 4.1 Working of Smart Bins -- 4.2 Path Optimization Algorithms -- 5 System Working and Architecture -- 6 Result and Discussion -- References. Detection of Parkinson's Disease Using Non-invasive Biomarkers -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Voice/Speech Analysis of Human Subjects -- 3.2 Latency and Delay Between Dynamic Keystrokes -- 3.3 Handwritten Patterns -- 3.4 Inertial Measurement Unit (IMU) Sensor Signals -- 4 Results -- 5 Conclusion -- References -- Modeling of Shell and Tube Heat Exchanger Using Adaptive Neuro-fuzzy Inference System and Nature-Inspired Whales Optimization Algorithm -- 1 Introduction -- 2 Mathematical Modeling of STHE -- 3 Whale Optimization Algorithm -- 4 Whale Optimization Algorithm-Based ANFIS for Modeling of Shell and Tube Heat Exchanger -- 5 Forward Modeling Using Whale Optimization Algorithm-Based ANFIS -- 6 Inverse Modeling Using Whale Optimization Algorithm-Based ANFIS -- 7 Conclusion -- References -- Navigating the Impact of COVID-19 on Indian Economies Through a Lens of Sustainability -- 1 Introduction -- 2 Analysis of GDP and HDI of Indian States -- 2.1 Maharashtra -- 2.2 Kerala -- 2.3 Gujarat -- 2.4 Bihar -- 3 Indian Unicorns That Boosted the Indian Economy -- 3.1 Sustainability Analysis -- 3.2 Sentimental Analysis of the Unicorn Nykaa -- 4 Results and Conclusion -- References -- Deep Dive into Clickbait Secrets: Integrating Multi-modal Features and Leveraging Deep Learning Architectures -- 1 Introduction -- 2 Literature Survey -- 2.1 Clickbait Research -- 3 Image Modeling -- 3.1 Exploratory Data Analysis -- 3.2 Infilling -- 3.3 Image Models -- 4 Text Modeling -- 5 Multi-modal Model -- 6 Results -- 7 Conclusion -- References -- A Hybrid Ayurvedic Drug Recommendation System with Generative AI -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Result Analysis -- 5 Conclusion -- References -- Early-Stage Adoption of AI in Business Processes: Different People Different Intentions to Use AI -- 1 Introduction. 2 Literature Review -- 2.1 Research Background -- 2.2 Hypotheses' Development -- 3 Method -- 3.1 Sample -- 3.2 Measure -- 4 Results and Discussion -- 4.1 Difference Among Groups with Respect to Intention to Use AI -- 4.2 Relationships Among Demographic Characteristics and Intention to Use AI -- 4.3 Predictors of Intention to Use AI -- 5 Conclusion -- References -- Decoding India's Fintech Ecosystem with AI: A Market Perspective -- 1 Introduction -- 2 Evolution of Fintech in India -- 3 Future of Fintech in India -- 3.1 Fintech Growth Propellants -- 4 The Fintech Ecosystem -- 4.1 Possible Challenges -- 5 Emerging Shifts in the Fintech Industry -- 6 Implications and Scope for Future Research -- 7 Conclusion -- References -- Deep Learning Inclusion in Plant Diseases, Inflicting a Disparate Insight -- 1 Introduction -- 2 Methodology and Literature Review -- 3 Future Perspective -- 4 Conclusion -- References -- Categorical Forecast Skill: Definitions and Implications -- 1 Introduction -- 1.1 The Relationship Between ISMR and Antarctic Sea Ice Extent -- 1.2 Mathematical Formulation of the Problem for Using Dichotomous Forecast -- 2 Methodology -- 2.1 Data -- 2.2 Procedure -- 3 Results and Discussion -- 4 Conclusion -- References -- Enhancing Cotton Crop Yield Prediction Through Principal Component Analysis and Regression Modelling -- 1 Introduction -- 2 Cotton Crop Situation in India -- 3 Principal Component Analysis (PCA) -- 4 Ordinary Least Squares (OLS) Regression -- 5 Methodology -- 5.1 Data Collection and Preprocessing -- 5.2 Performing Principal Component Analysis (PCA) -- 5.3 Time Series Analysis -- 5.4 Perform Regression Modelling -- 5.5 Performance Evaluation -- 5.6 Visualization -- 6 Results and Findings -- 7 Conclusion -- References -- Personality Categorization of Big Five Personality Traits OCEAN Using upper KK-Means Clustering. 1 Introduction -- 2 Literature Survey -- 3 Data and Methods -- 3.1 Data Pre-processing and Visualization -- 3.2 Proposed Approach -- 3.3 Results -- 4 Conclusion -- 5 Challenges and Future Directions -- References -- LLM-Based Custom Chatbot Using LangChain -- 1 Introduction -- 2 Literature Review -- 3 State of the Art in NLP and AI-Powered Chatbot Development -- 4 Solutions for PDF File Interaction and Information Extraction -- 5 Proposed Methodology -- 6 Implementation and Results -- 7 Conclusion -- References -- Predicting Sleep Disorders for Improved Health Care-A Comprehensive Study -- 1 Introduction -- 1.1 Machine Learning in Health Care -- 2 Review of Literature -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Insightful Data Discovery -- 4 Model Training and Testing for Multiple Classification Algorithms -- 4.1 Training -- 4.2 Testing -- 5 Results and Analysis -- 5.1 Real-World Data -- 5.2 Real-World Application -- 6 Conclusion -- 7 Future Work -- 7.1 Exploring the Unstructured Data -- 7.2 Implementation of Deep Learning -- 7.3 Collaborating with Doctors -- 7.4 Integrating Our Model with Hardware -- References -- Advancements in Hate Speech Detection: A Comprehensive Analysis of NLP Models and Techniques -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Feature Engineering -- 3.3 Hate Speech Detection Model -- 3.4 Model Training and Evaluation -- 4 Result and Discussion -- 5 Ethical Considerations -- 6 Conclusion -- References -- Li-Fi Technology-For Security and for Hyper Local Marketing -- 1 Introduction and Problem -- 2 Literature Survey -- 3 Challenge for Device -- 4 Solutions and Calculations -- 5 Discussion -- 6 Conclusion -- 7 Future Scope -- References -- Basket Brain: A Hybrid Model for Basketball Play Generation -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 4 The Models. 5 Workflow. |
| Record Nr. | UNINA-9910878058503321 |
|
Hassanien Aboul Ella
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||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 4 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 4 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (694 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Cooperating objects (Computer systems) Internet of things Artificial intelligence Communications Engineering, Networks Cyber-Physical Systems Internet of Things Artificial Intelligence |
| ISBN | 981-9738-17-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Low Voice Speech Conversion Analysis Using Novel Convolutional Neural Network Compared with K-Nearest Neighbor with Enhanced Accuracy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Convolutional Neural Networks -- 2.2 K-Nearest Neighbors -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- ML Models for Energy Efficiency in Office Buildings: A Comprehensive Comparative Analysis -- 1 Introduction -- 2 System Architecture -- 3 Study Method -- 4 Machine Learning Models -- 4.1 Logistic Regression -- 4.2 SVM -- 4.3 Decision Trees -- 4.4 Random Forest -- 4.5 Gradient Bossting -- 4.6 Multi-layer Perceptron (MLP) -- 5 Comparison of ML Models -- 5.1 Learning Curve -- 5.2 Validation Curve -- 6 Conclusion -- References -- Breast Cancer Prediction and Detection: Comparison of the Latest Machine Learning Techniques -- 1 Introduction -- 1.1 Contribution and Novelty -- 1.2 Limitations -- 2 Literature Review -- 2.1 Embryonic Stages-Texture Analysis -- 2.2 Deep Learning-A New Dawn -- 2.3 Transfer Learning-Bridging Past and Present -- 2.4 Computer-Aided Diagnosis (CAD)-The Modern Frontier -- 2.5 A Departure-Embracing Artificial Intelligence in a Novel Manner -- 2.6 Support Vector Machines (SVMs) -- 2.7 Deep Learning Advancements -- 3 Research Design and Methodology -- 3.1 Dataset -- 3.2 Algorithm Selection and Model Design -- 3.3 Machine Learning Framework and Tools -- 3.4 Infrastructure Limitations -- 3.5 Ethical Considerations -- 4 Results and Discussion -- 4.1 Machine Learning Algorithm -- 4.2 CNNs -- 4.3 ResNet -- 4.4 VGGNet -- 5 Conclusion and Future Works -- 5.1 Future Works -- References -- GIS-Based Identification and Representation of Particulate Matters Using Ontology and SPARQL -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods.
3.1 Description of the Case Study -- 3.2 Field Study -- 3.3 Equipment Used in the Investigation -- 4 Proposed System -- 4.1 Creation of Knowledge Base in the Form of Ontology -- 4.2 Execution of SPARQL Query -- 5 Results and Discussion -- 5.1 PM 2.5 Concentration -- 5.2 PM 10 Concentration -- 6 Conclusion and Future Scope -- References -- Advancements in Arrhythmia Classification: A Comprehensive Survey of AI Techniques -- 1 Introduction -- 2 Related Work -- 3 Observations from the Literature -- 3.1 Conventional Machine Learning Methods -- 3.2 Deep Learning Models -- 3.3 Hybrid Techniques -- 3.4 Classification Techniques Application and Clinical Impact -- 4 Methodological Approach -- 4.1 Inclusion Criteria -- 4.2 Exclusion Criteria -- 4.3 Techniques Selection Criteria -- 4.4 Databases of ECG Datasets -- 5 Importance of Cardiac Arrhythmia Diagnosis Using Deep Learning -- 5.1 Automated Feature Learning in Deep Neural Networks -- 5.2 Addressing Challenges in ECG Signal Analysis -- 5.3 Handling Signal Variability -- 6 Challenges -- 7 Conclusion -- References -- Survey on VANET Authentication Scheme Based on Cryptographic Protocols -- 1 Introduction -- 1.1 Key Aspects of VANETs -- 1.2 Architecture of VANETs -- 1.3 Applications of VANETs -- 1.4 Privacy Issue of VANETs -- 2 Background Information -- 2.1 Traditional Digital Signature Scheme -- 2.2 Group Signature Scheme -- 2.3 Ring Signature Scheme -- 2.4 Conditional Privacy-Preserving Authentication Scheme (CPPA) -- 2.5 Blockchain-Based Authentication Schemes -- 3 Literature Survey -- 3.1 Traditional Digital Signature Scheme -- 3.2 Group Signature-Based Authentication Scheme -- 3.3 Ring Signature-Based Authentication Scheme -- 3.4 Threshold Signature-Based Authentication Scheme -- 3.5 Conditional Privacy-Preserving Authentication Scheme -- 4 Discussion -- 5 Conclusion and Future Work -- References. Exploring Machine Learning Models for Age Recognition -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 3.1 Dataset -- 4 Building a Balance Dataset -- 4.1 Feature Extraction from the Image -- 5 Implementation of Age Detection Models -- 6 Evaluation and Model Performance -- 6.1 Comparison Using Confusion Matrix -- 6.2 Summary of the Performance of Three Models -- 6.3 Performance of the Convolutional Neural Networks -- 6.4 Summary of Supervise Learning Models -- 7 Conclusion -- 8 Future Works and Recommendations -- References -- Novel Authentication Scheme to Increase Security of Vehicular Ad Hoc Networks -- 1 Introduction -- 1.1 Security Architecture -- 1.2 Technologies for Security Improvement -- 2 Literature Review -- 3 Research Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- A Study on the Working of Swarm-Based Metaheuristic Algorithms Using Theoretical Framework -- 1 Introduction -- 2 Swarm Intelligence -- 3 Proposed Theoretical Framework -- 4 Swarm-Based Metaheuristic Algorithms -- 4.1 Spotted Hyena Optimization (SHO) [7] -- 4.2 Harris Hawk Optimization (HHO) [12] -- 4.3 Seagull Optimization Algorithm (SeOA) [8] -- 4.4 Sailfish Optimizer (SO) [29] -- 4.5 Sooty Tern Optimization Algorithm (STOA) [6] -- 4.6 Sandpiper Optimization Algorithm (SOA) [16] -- 4.7 Golden Eagle Optimizer (GEO) [22] -- 4.8 Northern Goshawk Optimization (NGO) [5] -- 4.9 Red Fox Optimization (RFO) [25] -- 4.10 Chameleon Swarm Algorithm (CSO) [2] -- 4.11 Gannet Optimization Algorithm (GOA) [24] -- 5 Limitations of the Proposed Framework -- 6 Challenges -- 6.1 Swarm Size -- 6.2 Exploration-Exploitation Trade-Off -- 6.3 Parameter Tuning Using Sensitivity Analysis -- 6.4 Applicability Toward Large-Scale Real-World Problems -- 6.5 Lack of Theoretical Understanding -- 7 Conclusion and Future Directions -- References. Financial Fortunes: A Stock Price Prediction Using LSTM -- 1 Introduction -- 2 Background -- 2.1 FINVIZ -- 2.2 Reddit API -- 3 Literature Review -- 4 System Design and Solution -- 4.1 Methods and Methodology -- 4.2 Algorithm -- 5 Implementation -- 6 Results and Discussion -- 7 Conclusions and Future Scope -- References -- Utilization of Data Mining in Spatial Analysis of Displacement Crisis in Iraq -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 4.1 Spatial Analysis of the Displacement Crisis in Iraq Between 2014 and 2017 -- 5 Conclusion and Future Scope -- References -- Integrating Multimodal Data for Parkinson's Disease Prediction: An Ensemble Approach -- 1 Introduction -- 2 Related Works -- 2.1 Application of CNNs for Advanced Drawing Analysis -- 2.2 The Synergy of AI and the Spiral Test for PD Diagnosis -- 2.3 AI-Driven Drawing Evaluation for Disease Detection -- 3 System Design -- 3.1 Parkinson's Disease Speech Dataset Analysis -- 3.2 Parkinson's Disease Drawings Dataset Analysis -- 3.3 Multimodal Ensemble Approach -- 4 Ensemble Method of Averaging -- 4.1 Drawing Dataset -- 4.2 Multimodal Ensemble Approach -- 5 Conclusion -- References -- Mental Health Assessment Using EEG Sensor and Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Utilization of Machine Learning for Heart Failure Prediction and Diagnosis -- 4 Datasets and Evaluation Metrics -- 5 Results and Discussion -- 6 Conclusion -- References -- Enhancing Patterns Accessibility for Visually Impaired Programmers -- 1 Introduction -- 2 Related Work -- 3 Development Process of Pattern Reader -- 3.1 Problem Identification -- 3.2 Design -- 4 Experiment Design -- 4.1 Procedure -- 4.2 Analysis -- 4.3 Result -- 4.4 Participant Experience -- 5 Future Work -- 6 Conclusion -- References. Lung and Colon Cancer Detection: Advancing Automated Diagnosis Through Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 LC25000: De-identified Lung and Colon Tissue Images for Cancer Research -- 4 Research Proposal -- 5 Scope and Objective of Research -- 6 Conclusion -- References -- Detection of Micro and Macro Nutrient Deficiency in Okra (Abelmoschus Esculentus L) Plant Leaves Using Machine Learning Approach -- 1 Introduction -- 2 Background -- 3 Work Plan -- 4 Results and Discussion -- 5 Future Scope -- 6 Conclusion -- References -- Empowering Aspiring Artists: A Machine Learning-Powered Carnatic Music Tutor -- 1 Introduction -- 2 Related Work -- 2.1 Raga Classification Methods -- 2.2 Other Audio Analysis Techniques -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Note Identification -- 3.3 Raga Identification -- 3.4 Lyric Extraction -- 3.5 Video Generation -- 3.6 Evaluation -- 4 Experimental Results and Discussion -- 4.1 Note Identification -- 4.2 Raga Identification -- 4.3 Lyrics Extraction -- 5 Conclusion -- References -- Image Denoising Using Autoencoder: Utilizing Deep Learning and Autoencoder Techniques to Enhance Natural Images by Eliminating Noisy Pixels and Grains -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset -- 3.2 Image Denoising Using CNN -- 3.3 Network Architecture -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- An IoT-Based Animal Health Monitoring System -- 1 Introduction -- 2 Background -- 3 Proposed Methodology -- 3.1 Block Diagram -- 3.2 Hardware Requirements -- 3.3 Software Requirements -- 4 Results -- 5 Conclusion -- References -- Experimental Analysis of Four Gamma Correction Variants on Brain Tumor Images -- 1 Introduction -- 2 Variants of Gamma Correction -- 2.1 Adaptive Gamma Correction Image Enhancement (AGCIE). 2.2 Adaptive Gamma Correction and Color Preserving Framework (AGCCPF). |
| Record Nr. | UNINA-9910878991603321 |
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Hassanien Aboul Ella
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 / / edited by Aboul Ella Hassanien, Oscar Castillo, Sameer Anand, Ajay Jaiswal
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 / / edited by Aboul Ella Hassanien, Oscar Castillo, Sameer Anand, Ajay Jaiswal |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (768 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
CastilloOscar
AnandSameer JaiswalAjay |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Internet of things Machine learning Artificial intelligence Communications Engineering, Networks Internet of Things Machine Learning Artificial Intelligence |
| ISBN | 981-9930-10-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Joint Identification and Clustering using Deep Learning Techniques -- Chapter 2. Comparative Analysis of deep learning with different optimization techniques for Type 2 Diabetes Mellitus detection using Gene expression Data -- Chapter 3. Differential Analysis of MOOC Models for Increasing Retention and Evaluation of the Performance of Proposed Model -- Chapter 4. Deep Convolutıonal Neural Networks Network with Transfer Learning for Image-Based Malware Analysis -- Chapter 5. Analysis of Network Failure Detection using Machine Learning in 5G Core Networks -- Chapter 6. MVR Delay:Establıshıng Self – Organızıng Vırtual Backhaul for Trusty, Relıable and Tımely Emergency Message Dıssemınatıon in VANET -- Chapter 7. Machine Learning Algorithms for Prediction of Mobile Phone Prices -- Chapter 8. Customized CNN for Traffic Sign Recognition Using Keras pre-trained models -- Chapter 9. Underwater Image Enhancement and Restoration Using Cycle GAN -- Chapter 10. Implementation of Machine Learning Techniques in Breast Cancer Detection -- Chapter 11. Performance and Analysis of Propagation Delay in the Bitcoin Network -- Chapter 12. Machine Learning Analysis on Predicting Credit Card Forgery -- Chapter 13. GanCOV: A Deep Learning & GAN based algorithm to Detect COVID-19 through Lung X-Ray Scans -- Chapter 14. Text-to-Image Synthesis using BERT Embeddings and Multi-Stage GAN -- Chapter 15. Application of Convoluted Brainwaves for Efficient Identification of Eating Disorder. etc. |
| Record Nr. | UNINA-9910736001903321 |
|
Hassanien Aboul Ella
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical Informatics and Bioimaging Using Artificial Intelligence : Challenges, Issues, Innovations and Recent Developments
| Medical Informatics and Bioimaging Using Artificial Intelligence : Challenges, Issues, Innovations and Recent Developments |
| Autore | Hassanien Aboul Ella |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (256 pages) |
| Altri autori (Persone) |
BhatnagarRoheet
SnáselVáclav Yasin ShamsMahmoud |
| Collana | Studies in Computational Intelligence Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030911034
9783030911027 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Machine Learning and Deep Learning Applications in Medical Diagnosis -- A Deep Learning Based Cockroach Swarm Optimization Approach for Segmenting Brain MRI Images -- 1 Introduction -- 2 Preliminaries -- 2.1 Cockroach Swarm Optimization -- 2.2 Deep Learning -- 3 The Proposed Approach -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Directions -- References -- Efficient Classification Model for Melanoma Based on Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Imbalanced Data Handling -- 3.2 Deep Learning Approach -- 4 The Proposed Melanoma Classification Model -- 4.1 Description of Dataset -- 4.2 Data Preprocessing -- 4.3 Data Preprocessing -- 5 Experimental Results -- 6 Conclusion -- References -- Machine Learning-Supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia -- 1 Introduction -- 2 Literature Review -- 2.1 Brain Asymmetry for the Diagnosis of Brain-Related Disorders -- 2.2 Classification of Alzheimer's Disease and Early Mild Cognitive Impairment Using the ADNI Database -- 3 The Proposed Approach -- 3.1 Image Preprocessing and Segmentation of Image Asymmetry -- 3.2 Feature Engineering and Analysis -- 4 Experiments and Results -- 5 Discussion and Conclusion -- References -- Feature Selection Based Coral Reefs Optimization for Breast Cancer Classification -- 1 Introduction -- 2 Related Work -- 3 Methods and Materials -- 3.1 The CRO Algorithm (Coral Reef Optimization) -- 3.2 CRO as a Feature Selection Technique -- 3.3 Utilized Classification Algorithms -- 3.4 Proposed Method -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Experiments and Results -- 4.3 Statistical Results Analysis -- 5 Conclusion and Future Work -- References.
A Comprehensive Review on Brain Disease Mapping-The Underlying Technologies and AI Based Techniques for Feature Extraction and Classification Using EEG Signals -- 1 Introduction -- 2 Raw EEG Signals -- 3 Signal Processing -- 4 Feature Extraction Method -- 5 Classification -- 6 Case Studies Consolidation and Their Analysis -- 7 Conclusion -- References -- Recognition of Ocular Disease Based Optimized VGG-Net Models -- 1 Introduction -- 2 Related Work -- 3 Methodologies -- 3.1 The Proposed Model -- 3.2 Ocular Disease Recognition Dataset -- 3.3 DCNN Classification Models -- 4 Experimental Results and Discussion -- 4.1 Performance Evaluation -- 4.2 Confusion Matrix -- 5 Conclusion -- References -- Artificial Intelligence in COVID-19 Diagnosis -- Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life -- 1 Introduction -- 2 Applications of AI and IoT in COVID-19 -- 2.1 Diagnosis of COVID-19 -- 2.2 Drug and Vaccine Development -- 2.3 Distribution of COVID-19 Vaccine Using AI -- 2.4 Monitoring Vaccine Temperate Using IoT -- 2.5 Management of Vaccine (Co-WIN) -- 2.6 Application of AI in Predicting COVID-19 Outcome -- 2.7 Sentiment Analysis and Fake News Detection Regarding Covid-19 -- 3 Impact of COVID-19 Vaccine on Social Life -- 4 The Plans of Government and Hospitals to Reduce the Impact of Corona Especially in Saudi Arabia -- 5 Acceptance and Demand for COVID-19 Vaccines -- 6 Conclusion -- References -- COVID-19 Forecasting Based on an Improved Interior Search Algorithm and Multilayer Feed-Forward Neural Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Multilayer Feed-Forward Neural Network -- 2.2 Interior Search Algorithm -- 2.3 The Motivation of This Work -- 3 Proposed ISACL Algorithm -- 3.1 Composition-Based Experience Strategy -- 3.2 Chaotic Learning Based-Local Searching Mechanism -- 3.3 Framework of ISACL. 4 Experiment and Results -- 4.1 Description of the COVID-19 Dataset -- 4.2 Parameter Settings -- 4.3 Indices for Performance Assessment -- 4.4 Results and Discussions -- 5 Conclusions -- References -- Development of Disease Diagnosis Model for CXR Images and Reports-A Deep Learning Approach -- 1 Introduction -- 2 Background Study -- 2.1 CXR Images and Radiology Reports -- 2.2 Convolutional Neural Networks (CNNs) -- 2.3 Pre-trained Convolutional Neural Networks (CNNs) -- 2.4 Radiology Report -- 2.5 Natural Language Processing in Producing the Radiology Report -- 3 Literature Review -- 4 Methodology -- 4.1 Dataset Description -- 4.2 Exploratory Data Analysis -- 4.3 Building Models -- 5 Model Evaluation and Results Analysis -- 6 Conclusion -- References -- Intelligent Drug Descriptors Analysis: Toward COVID-19 Drug Repurposing -- 1 Introduction -- 2 Discussion -- 2.1 Physicochemical Properties and Descriptors -- 2.2 Drug Approved Analysis -- 3 Theoretical Background of Support Vector Machine (SVM) -- 4 Intelligent Drugs Descriptors Analysis Approach -- 4.1 Preprocessing Phase -- 4.2 Support Vector Regression Phase -- 4.3 Kernel Selection -- 4.4 Descriptors Analysis -- 5 Results and Discussion -- 6 Conclusion and Future Work -- 7 Appendix -- References -- Emerging Technologies and Applications -- Analysis of Aortic Valve Using a Finite Element Model -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Aortic Root and Leaflet Deformation -- 3.2 Von-Mises Stress in the Leaflets -- 4 Conclusion and Future Work -- References -- Fundus Images Enhancement Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection -- 1 Introduction -- 2 Material and Methods -- 2.1 Description of Dataset -- 2.2 Background of Model -- 3 GF and LIN Pattern to Improve the Image Contrast of a Vessel Image. 4 Metrics for Evaluating the Improved Image -- 5 Results and Discussion -- 6 Conclusion -- References -- Multivariate Fuzzy Logic Based Smart Healthcare Monitoring for Risk Evaluation of Cardiac Patients -- 1 Introduction -- 2 Related Work -- 3 General Layout of Fuzzy Logic Theory -- 4 Proposed Fuzzy-Based Cardiac Patient Monitoring Model -- 4.1 Simulation Environment Setting -- 5 Simulation Results and Analysis -- 6 Conclusions -- References -- Ensemble Machine Learning Model for Mortality Prediction Inside Intensive Care Unit -- 1 Introduction -- 2 Related Work -- 2.1 Scoring System -- 2.2 Machine Learning Systems -- 3 Data Set -- 3.1 Dataset Description -- 3.2 Table Selection -- 4 Proposed Framework -- 4.1 Data Preprocessing -- 5 Resuls and Discussion -- 5.1 Single Classifier Results -- 5.2 Ensemble Classifier Results -- 6 Conclusion and Future Work -- References. |
| Record Nr. | UNINA-9910513579703321 |
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Hassanien Aboul Ella
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021
| Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 |
| Autore | Hassanien Aboul Ella |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (412 pages) |
| Altri autori (Persone) |
SnáselVáclav
ChangKuo-Chi DarwishAshraf GaberTarek |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030897017
9783030897000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910508453403321 |
|
Hassanien Aboul Ella
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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