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Autore: | Jmaiel Mohamed |
Titolo: | The Impact of Digital Technologies on Public Health in Developed and Developing Countries [[electronic resource] ] : 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings / / edited by Mohamed Jmaiel, Mounir Mokhtari, Bessam Abdulrazak, Hamdi Aloulou, Slim Kallel |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (XV, 442 p. 161 illus., 125 illus. in color.) |
Disciplina: | 004.6 |
Soggetto topico: | Computer networks |
Artificial intelligence | |
Application software | |
Computers, Special purpose | |
Computer systems | |
User interfaces (Computer systems) | |
Human-computer interaction | |
Computer Communication Networks | |
Artificial Intelligence | |
Computer and Information Systems Applications | |
Special Purpose and Application-Based Systems | |
Computer System Implementation | |
User Interfaces and Human Computer Interaction | |
Persona (resp. second.): | JmaielMohamed |
MokhtariMounir | |
AbdulrazakBessam | |
AloulouHamdi | |
KallelSlim | |
Nota di contenuto: | IoT and AI Solutions for E-health -- Alzheimer's Disease Early Detection Using a Low Cost Three-dimensional Densenet-121 Architecture -- Self-adaptative Early Warning Scoring System for Smart Hospital -- Machine Learning Based Rank Attack Detection for Smart Hospital Infrastructure -- Remote Health Monitoring Systems Based on Bluetooth Low Energy (BLE) Communication Systems -- Modeling and Specification of Bootstrapping and Registration Design Patterns for IoT Applications -- Biomedical and Health Informatics -- EEG-based Hypo-vigilance Detection Using Convolutional Neural Network -- Respiratory Activity Classification Based on Ballistocardiogram Analysis -- A Convolutional Neural Network for Lentigo Diagnosis -- Deep Learning-based Approach for Atrial Fibrillation Detection -- Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans -- Behavior and Activity Monitoring -- Using Learning Techniques to Observe Elderly's Behavior Changes Over Time -- Personalized and Contextualized Persuasion System for Older Adults’ Physical Activity Promoting -- Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-being -- Wellbeing Technology -- Automatic Daily Activity Schedule Planning for Simulating Smart House with Elderly People Living Alone -- A Novel On-wrist Fall Detection System Using Supervised Dictionary Learning Technique -- Combined Machine Learning and Semantic Modelling for Situation Awareness and Healthcare Decision Support -- Improving Access and Mental Health for Youth Through Virtual Models of Care -- Short Contributions: IoT and AI Solutions for E-health -- Study of Middleware for Internet of Healthcare Things and Their Applications -- Uncertainty in IoT for Smart Healthcare: Challenges, and Opportunities -- Secure E-health Platform -- Hybrid and Secure E-health Data Sharing Architecture in Multi-Clouds Environment -- Blockchain for Internet of Medical Things: A technical Review -- Application of Blockchain Technology in Healthcare: A Comprehensive Study -- Trust Execution Environment and Multi-party Computation for Blockchain E-health Systems -- A Fuzzy-ontology Based Diabetes Monitoring System Using Internet of Things -- Short Contributions: Biomedical and Health Informatics -- A Hybrid Approach for Heart Disease Diagnosis and Prediction Using Machine Learning Techniques -- Context-aware Healthcare Adaptation Model for COPD Diseases -- Study of Healthcare Professionals’ Interaction in the Patient Records with Annotations -- Multirate ECG Processing and Machine Learning Based Efficient Arrhythmia Diagnosis -- Comparative Study of Relevant Methods for MRI/X Brain Image Registration -- Machine Learning Classification Models with SPD/ED Dataset: Comparative Study of Abstract Versus Full Article Approach -- Evaluation of Stationary Wavelet Transforms in Reconstruction of Pure High Frequency Oscillations (HFOs) -- Ensuring the Correctness and Well Modeling of Intelligent Healthcare Management Systems -- Short Contributions: Wellbeing Technology -- An Embedded ANN Raspberry PI for Inertial Sensor Based Human Activity Recognition -- Human Activities Recognition in Android Smartphone using WSVM-HMM Classifier -- Mobile Assistive Application for Blind People in Indoor Navigation -- Older People’s Needs and Opportunities for Assistive Technologies -- Towards a Formal Context-Aware Workflow Model for Ambient Environment -- The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being -- ForeSight - An AI-driven Smart Living Platform, Approach to Add Access Control to openHAB. |
Sommario/riassunto: | This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic. |
Titolo autorizzato: | The Impact of Digital Technologies on Public Health in Developed and Developing Countries |
ISBN: | 3-030-51517-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996418308103316 |
Lo trovi qui: | Univ. di Salerno |
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