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The impact of digital technologies on public health in developed and developing countries : 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24-26, 2020, Proceedings / Mohamed Jmaiel, Mounir Mokhtari, Bessam Abdulrazak, Hamdi Aloulou, Slim Kallel (eds.).

By: (18th : ICOST (Conference) (18th : 2020 : Hammamet, Tunisia)Contributor(s): Jmaiel, Mohamed | Mokhtari, Mounir | Abdulrazak, Bessam | Aloulou, Hamdi | Kallel, SlimMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 12157. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham : Springer, 2020. Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030515171; 3030515176Other title: ICOST 2020Subject(s): Medical telematics -- Congresses | Artificial intelligence -- Medical applications -- Congresses | Home automation -- Congresses | Public health -- Congresses | Self-help devices for people with disabilities -- Congresses | Self-help devices for people with disabilities | Public health | Medical telematics | Home automation | Artificial intelligence -- Medical applications | Application software | Artificial intelligence | Computer architecture | Computer networks | Computers, Special purpose | User interfaces (Computer systems)Genre/Form: Electronic books. | Electronic books. | Conference papers and proceedings. Additional physical formats: No titleDDC classification: 362.10285 LOC classification: R119.95Online resources: Click here to access online
Contents:
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 Me dical 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 Peoples 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.
Summary: 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.
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Open access. GW5XE

International conference proceedings.

Includes author index.

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 Me dical 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 Peoples 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.

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.

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