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Impact of Digital Technologies on Public Health in Developed and Developing Countries: 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 2426, 2020, Proceedings 2020 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 442 pages, height x width: 235x155 mm, weight: 700 g, 125 Illustrations, color; 36 Illustrations, black and white; XV, 442 p. 161 illus., 125 illus. in color., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 12157
  • Izdošanas datums: 25-Jun-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030515168
  • ISBN-13: 9783030515164
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Impact of Digital Technologies on Public Health in Developed and Developing Countries: 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 2426, 2020, Proceedings 2020 ed.Palielināt
  • Formāts: Paperback / softback, 442 pages, height x width: 235x155 mm, weight: 700 g, 125 Illustrations, color; 36 Illustrations, black and white; XV, 442 p. 161 illus., 125 illus. in color., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 12157
  • Izdošanas datums: 25-Jun-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030515168
  • ISBN-13: 9783030515164
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Permanent link: https://www.kriso.lv/db/9783030515164.html
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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.
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 theCorrectness 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.