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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 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 | ||
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The digital agricultural revolution : innovations and challenges in agriculture through technology disruptions / / edited by Roheet Bhatnagar [and three others]
| The digital agricultural revolution : innovations and challenges in agriculture through technology disruptions / / edited by Roheet Bhatnagar [and three others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (490 pages) |
| Disciplina | 631.3 |
| Soggetto topico |
Agricultural engineering
Agricultural innovations |
| ISBN |
1-119-82346-3
1-119-82345-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910573100103321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The digital agricultural revolution : innovations and challenges in agriculture through technology disruptions / / edited by Roheet Bhatnagar [and three others]
| The digital agricultural revolution : innovations and challenges in agriculture through technology disruptions / / edited by Roheet Bhatnagar [and three others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (490 pages) |
| Disciplina | 631.3 |
| Soggetto topico |
Agricultural engineering
Agricultural innovations |
| ISBN |
1-119-82344-7
1-119-82346-3 1-119-82345-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910677871503321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) / / edited by Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Roheet Bhatnagar, Mohamed F. Tolba
| The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) / / edited by Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Roheet Bhatnagar, Mohamed F. Tolba |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (971 pages) |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-14118-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483657403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| 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 |
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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Toward social Internet of things (SIoT) : enabling technologies, architectures and applications : emerging technologies for connected and smart social objects / / editors, Aboul Ella Hassanien [et al.]
| Toward social Internet of things (SIoT) : enabling technologies, architectures and applications : emerging technologies for connected and smart social objects / / editors, Aboul Ella Hassanien [et al.] |
| Edizione | [1st edition 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 334 p. 94 illus., 82 illus. in color.) |
| Disciplina | 004.678 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Internet of things
Technological innovations - Social aspects |
| ISBN | 3-030-24513-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Social IoT in healthcare -- Chapter 2. Challenges and Solutions of Using the Social Internet of Things in Healthcare and Medical Solutions - A Survey -- Chapter 3. MIPv6 in Crowdsensing Applications For SIoT Environments -- Chapter 4. Humanizing IoT: defining the profile and the reliability of a thing in a Multi-IoT scenario, etc. |
| Record Nr. | UNINA-9910484025703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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