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Advanced Machine Learning Technologies and Applications : Proceedings of AMLTA 2020 / / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish
| Advanced Machine Learning Technologies and Applications : Proceedings of AMLTA 2020 / / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (xxi, 757 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Computational Intelligence Artificial Intelligence Big Data |
| ISBN | 981-15-3383-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Segregating and Recognizing Human Actions from Video Footages using LRCN Technique -- Fall Alert: A Novel Approach to Detect Fall -- Evaluation of Automatic Text Visualization Systems: A Case Study -- Face Recognition Based Attendance System using Real Time Computer Vision Algorithms -- The Impact of Knowledge Management Adoption on the Government Sector’s Performance: The Case of Bahrain -- Video Surveillance for the Crime Detection using Features -- Real-time Neural-net Driven Optimized Inverse-kinematics for a Robotic Manipulator -- A Deep Learning Technique to Countermeasure Video Based Presentation Attacks -- Optimization of Loss Functions for Predictive Soil Mapping -- Natural Language Information Extraction through Non Factoid Question and Answering System -- An Enhanced Differential Evolution Algorithm with New Environmental-based Parameters for Solving Optimization Problems -- Reactive Power Optimization Approach based on Chaotic Particle Swarm Optimization -- Data Mining Model for Better Admissions in Higher Educational Institutions (HEIs) – A Case Study of Bahrain -- The Effectiveness of Renewable Energies Projects in Kuwait - PAAET Solar Energy Project -- Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using Mobile Net -- Real-Time Object Detection in Remote Sensing Images using Deep Learning -- Malaria Detection using Convolutional Neural Network -- Drone-Based Face Recognition using Deep Learning -- Traffic Sign Recognition for Self-Driving Cars with Deep Learning -- Identifying the Association Rule to Determine the Possibilities of Cardio Vascular Diseases(CVD) -- Prediction of Service Level Agreement Violation in Cloud Computing using Bayesian Regularization -- A New Methodology for Language Identification in Social Media Code-mixed Text -- Detecting Influencers in Social Networks Through Machine Learning Techniques -- Application and Analysis of K-Means Algorithms on a Decision Support Framework for Municipal Solid Waste Management -- Android Rogue Application Detection using Image Resemblance and Reduced LDA -- An Indexed Non-Probability Skyline Query Processing Framework for Uncertain Data -- Analysis of Operational Control Mode of Intelligent Distribution Grids with Multi-microgrid -- Technical Present Situation based on Micro Grid Operation Control -- Skin Lesion Classification: A Transfer Learning Approach Using Efficient Nets -- Change Footprint Pattern Analysis of Crime Hotspot of Indian Districts -- Itemset Mining based Episode Profiling of Terrorist Attacks using Weighted Ontology -- Enabling Technologies in Banking Industry, Regulatory Technology RegTech and Money Laundering Prevention -- A Cognitive Knowledge Base for Learning Disabilities using Concept Analysis -- Native Monkey Detection using Deep Convolution Neural Network -- Evaluation and Summarization of Student Feedbacks Using Sentiment Analysis -- Predicting Competitive Weight Lifting Performance using Regression and Tree-based Algorithms -- Predicting the Primary Dominant Personality Trait of Perceived Leaders by Mapping Linguistic Cues from Social Media Data onto the Big-Five Model -- Analysis of Users behaviour on Micro Blogging Site using a Topic -- Machine Learning Techniques for Short Term Forecasting of Wind Power Generation -- Integrated Process Management System of Smart Substation Secondary Side based on Practical Scheme -- Research on Forms and Strategies of Alternative Energy Achieved -- Lightweight Access Control Algorithm for Internet of Things -- Named Entity Recognition for Legal Documents -- Visual Speech Processing and Recognition -- Predictive Analytics for Cardiovascular Disease Diagnosis using Machine Learning Techniques -- A Novel Approach for Smart Health Care Recommender System -- Heart Disorder Prognosis employing KNN, ANN, ID3 and SVM -- IoT based Home Security System with Wireless Communication -- Implementation of Internet of Things IoT in Small Business Industry: Case of Bahrain -- A Comparative Study of Model-Free Reinforcement Learning Approaches -- Location Aware Security System for Smart Cities using IoT -- An Assessment Study of Gait Biometric Recognition using Machine Learning -- A Study on Risk Management Practices in Online Banking in Bahrain -- Deep Learning Techniques: An Overview -- A Multilayer Deep Learning Framework For Auto-Content Tagging -- Case Based Reasoning (CBR) based Anemia Severity Detection System (ASDS) Using Machine Learning Algorithm -- ECG Signal Analysis, Diagnosis and Transmission -- The Effect of Real-Time Feedback on Consumer’s Behaviour in the Energy Management Sector: Empirical study -- Synchronization Control in Fractional Discrete-Time Systems with Chaotic Hidden Attractors -- Employment of Cryptographic Modus Operandi based on Trigonometric Algorithm and Resistor Color Code -- Experimental & Dimensional Analysis Approach for Human Energy Required In Wood Chipping Process -- Impact of High-k gate dielectric and Workfunctions Variation on Electrical Characteristics of VeSFET -- Correlating Personality Traits to Different Aspects of Facebook Usage -- Fractional Order control of a Fuel Cell-boost Converter System -- Battery Pack Construction Scheme based on UPS System Reliability -- Study on Land Compensation for High Voltage Transmission Lines in Power Grid based on Easement -- Study on the Terrain of Power Network Construction Expropriation and Legal Risk Prevention. |
| Record Nr. | UNINA-9910484669603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 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 |
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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Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications / / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish
| Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications / / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (310 pages) |
| Disciplina |
338.9270285
338.90028563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-51920-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Artificial Intelligence in agriculture -- Optimization of Drip Irrigation Systems Using Artificial Intelligence Methods for Sustainable Agriculture and Environment -- Artificial Intelligence System for Grape Leaf Diseases Classification -- Robust Deep Transfer Models for Fruit and Vegetable Classification: A Step Towards a Sustainable Dietary -- The Role of Artificial Neuron Networks in Intelligent Agriculture (Case study: Greenhouse) -- Part-II Artificial Intelligence in Smart health Care -- Artificial Intelligence based Multinational Corporate Model for EHR Interoperability on an e-Health platform -- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques – proposing a shift Towards a Sustainable Healthcare Approach -- Predicting COVID19 Spread in Saudi Arabia using Artificial Intelligence Techniques – proposing a shift Towards a Sustainable Healthcare Approach -- Part III: Machine Learning and Deep Learning Applications -- A Comprehensive Study of Deep Neural Networks for Unsupervised Deep Learning -- An Overview of Deep Learning Techniques for Biometric Systems -- Convolution of Images using Deep Neural Networks in the Recognition of Footage Objects -- A Machine Learning-based Framework for Efficient LTE Downlink Throughput -- Artificial Intelligence and Blockchain for Transparency in Governance -- Artificial Intelligence Models in Power System Analysis -- Part IV: Smart Networking Applications -- Internet of Things for Water Quality Monitoring and Assessment: A Comprehensive Review -- Contribution to the Realization of a Smart and Sustainable Home -- Appliance Scheduling towards Energy Management in IoT Networks Using Bacteria Foraging Optimization (BFO) Algorithm. |
| Record Nr. | UNINA-9910484399603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital transformation and emerging technologies for fighting COVID-19 pandemic : innovative approaches / / edited by Aboul Ella Hassanien, Ashraf Darwish
| Digital transformation and emerging technologies for fighting COVID-19 pandemic : innovative approaches / / edited by Aboul Ella Hassanien, Ashraf Darwish |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (304 pages) |
| Disciplina | 006.3 |
| Collana | Studies in systems, decision and control (Online) |
| Soggetto topico |
Computational intelligence
Pandèmia de COVID-19, 2020- Intel·ligència artificial en medicina Informàtica mèdica Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-63307-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483158603321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital twins for digital transformation : innovation in industry / / Aboul Ella Hassanien, Ashraf Darwish, and Vaclav Snasel, editors
| Digital twins for digital transformation : innovation in industry / / Aboul Ella Hassanien, Ashraf Darwish, and Vaclav Snasel, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2022] |
| Descrizione fisica | 1 online resource (206 pages) |
| Disciplina | 670 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Manufacturing processes - Data processing
Manufacturing processes - Decision making |
| ISBN | 3-030-96802-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910564697203321 |
| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Embedded and Real Time System Development: A Software Engineering Perspective : Concepts, Methods and Principles / / edited by Mohammad Ayoub Khan, Saqib Saeed, Ashraf Darwish, Ajith Abraham
| Embedded and Real Time System Development: A Software Engineering Perspective : Concepts, Methods and Principles / / edited by Mohammad Ayoub Khan, Saqib Saeed, Ashraf Darwish, Ajith Abraham |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (X, 330 p. 192 illus., 13 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Software engineering Computational Intelligence Software Engineering |
| ISBN |
9783642408885
3642408885 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I Embedded Software Development Process -- PART II Design Patterns and Development Methodology -- PART III Modeling framework -- PART IV Performance analysis, Power Management and Deployment. |
| Record Nr. | UNINA-9910299727303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Future of Metaverse in the Virtual Era and Physical World / / edited by Aboul Ella Hassanien, Ashraf Darwish, Mohamed Torky
| The Future of Metaverse in the Virtual Era and Physical World / / edited by Aboul Ella Hassanien, Ashraf Darwish, Mohamed Torky |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (265 pages) |
| Disciplina |
306.4402854678
363.738746 |
| Collana | Studies in Big Data |
| Soggetto topico |
Engineering—Data processing
Computational intelligence Big data Data Engineering Computational Intelligence Big Data |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN |
9783031291326
9783031291319 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Development of Cognitive Intelligent Mechanism for Sustainability of Bigdata: A Future Shape of Metaverse -- Towards 3D Virtual Dressing Room Based User-Friendly Metaverse Strategy -- Metaverse for Brain Computer Interface: Towards New and Improved Applications -- The Future of Metaverse in the Virtual Era and Physical World: Analysis and applications -- The Use of Metaverse in the Healthcare Sector: Analysis and Applications -- The ethics of the Metaverse and Digital Virtual Environments: the Metavethics. |
| Record Nr. | UNINA-9910725092903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning and big data analytics paradigms : analysis, applications and challenges / / Aboul Ella Hassanien, Ashraf Darwish, editors
| Machine learning and big data analytics paradigms : analysis, applications and challenges / / Aboul Ella Hassanien, Ashraf Darwish, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 648 p. 267 illus., 182 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Studies in Big Data |
| Soggetto topico | Machine learning |
| ISBN | 3-030-59338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rough Sets and Rule Induction from Indiscernibility Relations Based on Possible World Semantics in Incomplete Information Systems with Continuous Domains -- Big Data Analytics and Preprocessing -- Artificial Intelligence-based Plant Diseases Classification -- Artificial Intelligence in Potato Leaf Disease Classification: A Deep Learning Approach -- Granules-Based Rough Set Theory for Circuit Breaker Fault Diagnosis -- SQL Injection Attacks Detection and Prevention based on Neuro–Fuzzy Technique -- Convolutional Neural Network with Batch Normalization for Classification of Endoscopic Gastrointestinal Diseases -- A Chaotic Search-Enhanced Genetic Algorithm for Bilevel Programming Problems -- Bio-Inspired Machine Learning Mechanism for Detecting Malicious URL through Passive DNS in Big Data Platform -- Target Analytical: A Text Analytics Framework for Ranking Therapeutic Molecules in the Bibliome -- Earthquakes and Thermal Anomalies in a Remote Sensing Perspective -- Literature Review with Study and Analysis of the Quality Challenges of Recommendation Techniques and their Application in Movie Ratings -- Predicting Student Retention Among a Homogeneous Population using Data Mining -- An Approach for Textual Based Clustering Using Word Embedding -- A Survey on Speckle Noise Reduction in SAR Images -- Comparative Analysis of Different Approaches to Human Activity Recognition based on Accelerometer Signals -- Soil Morphology based on Deep Learning, Polynomial Learning and Gabor Teager-Kaiser Energy Operators -- Deep Layer Convolutional Neural Network (CNN) Architecture for Breast Cancer Classification Using Histopathological Images -- A survey on Deep Learning for Time-Series Forecasting -- Deep Learning for Taxonomic Classification of Biological Bacterial Sequences -- Particle Swarm Optimization and Grey Wolf Optimizer to Solve Continuous p-Median Location Problems -- Gene Ontology Analysis of Gene Expression Data Using Hybridized PSO Triclustering (HSPO-TriC) Model -- Experimental Studies of Variations Reduction in Chemometric Model Transfer for FT-NIR Miniaturized Sensors -- Smart Environments Concepts, Applications, and Challenges -- Synonym Multi-Keyword Search over Encrypted Data Using Hierarchical Bloom Filters Index -- Assessing the Performance of E-government Services through Multi-Criteria Analysis: The Case of Egypt -- IoTIwC: IoT Industrial Wireless Controller -- Applying Software Defined Network Concepts for Securing the Client data signals over the Optical Transport Network of Egypt -- Watermarking 3D printing Data Based on Coyote Optimization Algorithm -- A 3D Geolocation Analysis of an RF Emitter Source with Two RF Sensors Based on Time and Angle of Arrival. |
| Record Nr. | UNINA-9910484692503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and big data analytics paradigms : analysis, applications and challenges / / Aboul Ella Hassanien, Ashraf Darwish, editors
| Machine learning and big data analytics paradigms : analysis, applications and challenges / / Aboul Ella Hassanien, Ashraf Darwish, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 648 p. 267 illus., 182 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Studies in Big Data |
| Soggetto topico | Machine learning |
| ISBN | 3-030-59338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rough Sets and Rule Induction from Indiscernibility Relations Based on Possible World Semantics in Incomplete Information Systems with Continuous Domains -- Big Data Analytics and Preprocessing -- Artificial Intelligence-based Plant Diseases Classification -- Artificial Intelligence in Potato Leaf Disease Classification: A Deep Learning Approach -- Granules-Based Rough Set Theory for Circuit Breaker Fault Diagnosis -- SQL Injection Attacks Detection and Prevention based on Neuro–Fuzzy Technique -- Convolutional Neural Network with Batch Normalization for Classification of Endoscopic Gastrointestinal Diseases -- A Chaotic Search-Enhanced Genetic Algorithm for Bilevel Programming Problems -- Bio-Inspired Machine Learning Mechanism for Detecting Malicious URL through Passive DNS in Big Data Platform -- Target Analytical: A Text Analytics Framework for Ranking Therapeutic Molecules in the Bibliome -- Earthquakes and Thermal Anomalies in a Remote Sensing Perspective -- Literature Review with Study and Analysis of the Quality Challenges of Recommendation Techniques and their Application in Movie Ratings -- Predicting Student Retention Among a Homogeneous Population using Data Mining -- An Approach for Textual Based Clustering Using Word Embedding -- A Survey on Speckle Noise Reduction in SAR Images -- Comparative Analysis of Different Approaches to Human Activity Recognition based on Accelerometer Signals -- Soil Morphology based on Deep Learning, Polynomial Learning and Gabor Teager-Kaiser Energy Operators -- Deep Layer Convolutional Neural Network (CNN) Architecture for Breast Cancer Classification Using Histopathological Images -- A survey on Deep Learning for Time-Series Forecasting -- Deep Learning for Taxonomic Classification of Biological Bacterial Sequences -- Particle Swarm Optimization and Grey Wolf Optimizer to Solve Continuous p-Median Location Problems -- Gene Ontology Analysis of Gene Expression Data Using Hybridized PSO Triclustering (HSPO-TriC) Model -- Experimental Studies of Variations Reduction in Chemometric Model Transfer for FT-NIR Miniaturized Sensors -- Smart Environments Concepts, Applications, and Challenges -- Synonym Multi-Keyword Search over Encrypted Data Using Hierarchical Bloom Filters Index -- Assessing the Performance of E-government Services through Multi-Criteria Analysis: The Case of Egypt -- IoTIwC: IoT Industrial Wireless Controller -- Applying Software Defined Network Concepts for Securing the Client data signals over the Optical Transport Network of Egypt -- Watermarking 3D printing Data Based on Coyote Optimization Algorithm -- A 3D Geolocation Analysis of an RF Emitter Source with Two RF Sensors Based on Time and Angle of Arrival. |
| Record Nr. | UNISA-996464442603316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Data Mining in Aerospace Technology / / edited by Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary
| Machine Learning and Data Mining in Aerospace Technology / / edited by Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (VIII, 232 p. 97 illus., 62 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Aerospace engineering Astronautics Artificial intelligence Computational Intelligence Aerospace Technology and Astronautics Artificial Intelligence |
| ISBN | 3-030-20212-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Tensor-based anomaly detection for satellite telemetry data -- Machine learning in satellites monitoring and risk challenges -- Formalization, prediction and recognition of expert evaluations of telemetric data of artificial satellites based on type-II fuzzy sets -- Intelligent health monitoring systems for space missions based on data mining techniques -- Design, implementation, and validation of satellite simulator and data packets analysis -- Crop yield estimation using decision trees and random forest machine learning algorithms on data from terra (EOS AM-1) & aqua (EOS PM-1) satellite data -- Data analytics using satellite remote sensing in healthcare applications -- Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1 -- Multiscale Satellite Image Classification using Deep Learning Approach -- Security approaches in machine learning for satellite communication -- Machine learning techniques for IoT intrusions detection in aerospace cyber physical systems. |
| Record Nr. | UNINA-9910484962803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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