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Data Science and Artificial Intelligence for Digital Healthcare : Communications Technologies for Epidemic Models / / edited by Pradeep Kumar Singh, Marcello Trovati, Fionn Murtagh, Mohammed Atiquzzaman, Mohsen Farid
| Data Science and Artificial Intelligence for Digital Healthcare : Communications Technologies for Epidemic Models / / edited by Pradeep Kumar Singh, Marcello Trovati, Fionn Murtagh, Mohammed Atiquzzaman, Mohsen Farid |
| Autore | Singh Pradeep Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (284 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
TrovatiMarcello
MurtaghFionn AtiquzzamanMohammed FaridMohsen |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Telecommunication
Cooperating objects (Computer systems) Medical informatics Artificial intelligence Artificial intelligence - Data processing Communications Engineering, Networks Cyber-Physical Systems Health Informatics Artificial Intelligence Data Science |
| ISBN |
9783031568183
9783031568176 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- PART-1: PANDEMIC MODELS USING DATA SCIENCE AND ARTIFICIAL INTELLIGENCE -- Data science for preventive care -- Artificial intelligence and deep learning for epidemic models -- Data analytics and cognitive computing for mobile digital health -- Multimedia big data for digital health and related topics -- PART-2: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE 4.0 -- Artificial intelligence and deep learning for clinical diagnosis -- AI- supported healthcare in IoT-cloud based platforms -- AI- empowered big data analytics and cognitive computing for smart health monitoring -- AI and ML techniques for intelligent mobile digital health solutions -- PART-3: IoT, EDGE/FOG AND CLOUD IN DIGITAL HEALTHCARE -- Wireless sensor networks & IoT for digital health -- Internet of Medical Things (IoMT) in digital health -- Advanced AIIoT convergent services, systems, infrastructure, and techniques for healthcare -- AI-supported IoT data analytics for smart healthcare -- Fog/edge Computing for digital health -- PART-4: DISTRIBUTED LEDGER AND SECURITY SOLUTIONS FOR DIGITAL HEALTHCARE RECORDS -- Block chain based electronic health record -- Blockchain for digital health Security -- Cyber Physical Systems for digital healthcare records -- Cryptography and other security solutions for the digital healthcare -- PART-5: INNOVATIVE SOLUTIONS IN MOBILE DIGITAL HEALTHCARE -- Computer aided detection and diagnosis -- Elderly smart health monitoring environments and related topics -- Conclusion. |
| Record Nr. | UNINA-9910882901103321 |
Singh Pradeep Kumar
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges : IOT, Data Science and Artificial Intelligence Technologies / / edited by Pradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar
| IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges : IOT, Data Science and Artificial Intelligence Technologies / / edited by Pradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar |
| Autore | Singh Pradeep Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (386 pages) |
| Disciplina | 004.678 |
| Altri autori (Persone) |
WierzchońSławomir T
PawłowskiWiesław KarArpan Kumar KumarYugal |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Engineering - Data processing
Cooperating objects (Computer systems) Big data Computational intelligence Data Engineering Cyber-Physical Systems Big Data Computational Intelligence |
| ISBN | 3-031-35783-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks -- Exploring IoT Applications in Industry 4.0 – Insights from Review of Literature -- Clustering IoT data using Machine Learning Methods: A Survey -- Towards the Improvement of Personalized Music Recommendation System using Deep Learning Techniques -- The Significance of IoT and Deep Learning in Activity Recognition -- Intelligent Monitoring of Disinfectants. |
| Record Nr. | UNINA-9910742498003321 |
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Singh Pradeep Kumar
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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