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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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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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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 |
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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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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 |
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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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