Advanced AI and Internet of Health Things for Combating Pandemics
This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advan...
Saved in:
| Institution som forfatter: | |
|---|---|
| Andre forfattere: | , , , |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Udgivelse: | 1st ed. 2023. |
| Serier: | Internet of Things, Technology, Communications and Computing,
|
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-28631-5 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-28631-5 | ||
| 003 | DE-He213 | ||
| 005 | 20260810160934.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230724s2023 sz | o |||| 0|eng d | ||
| 020 | |a 9783031286315 |9 978-3-031-28631-5 | ||
| 024 | 7 | |a 10.1007/978-3-031-28631-5 |2 doi | |
| 050 | 4 | |a TK5101-5105.9 | |
| 072 | 7 | |a TJK |2 bicssc | |
| 072 | 7 | |a TEC041000 |2 bisacsh | |
| 072 | 7 | |a TJK |2 thema | |
| 082 | 0 | 4 | |a 621.382 |2 23 |
| 245 | 1 | 0 | |a Advanced AI and Internet of Health Things for Combating Pandemics |h [electronic resource] / |c edited by Mohamed Lahby, Virginia Pilloni, Jyoti Sekhar Banerjee, Mufti Mahmud. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XIV, 397 p. 159 illus.). |b 122 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Internet of Things, Technology, Communications and Computing, |x 2199-1081 | |
| 505 | 0 | |a Chapter 1 Knowledge Graphs for COVID-19: A Survey -- Chapter 2 Mapping effective practices and frameworks during the AEC industry’s combat with COVID-19: scientometric analysis -- Chapter 3 Deep Learning for Combating COVID-19 Pandemic in Internet of Medical Things (IoMT) Networks: A Comprehensive Review -- Chapter 4 Machine Learning Algorithms for Classification of COVID-19 using Chest X-Ray Images -- Chapter 5 Forecasting of COVID-19 cases Using AI and Real-time DataSet -- Chapter 6 Predicting Covid-19 Using Cough Audio Recordings -- Chapter 7 Computational Linguistics Techniques in Measuring Genetic Distance of Living Organisms -- Chapter 8 Explainable Artificial Intelligence (XAI) Based Analysis of Stress Among Tech Workers amidst COVID-19 Pandemic -- Chapter 9 COVID-19 Disease Segmentation using Deep Learning Techniques in CT Scan Images -- Chapter 10 Multimodal Diagnosis of COVID-19 Using Deep Wavelet Scattering Networks -- Chapter 11 Development of a Computer Aided Diagnosis System For Detection of COVID-19 Using Transfer Learning -- Chapter 12 COVID-19 Detection System in a Smart Hospital Setting using Transfer Learning and IoT-based Model -- Chapter 13 A Blockchain-based Secure Framework for Homomorphic AI in IoHT for Tackling COVID-19 Pandemic -- Chapter 14 Blockchain-Based Solution for Patient Controlled Health Records Sharing for Private Decentralized Storage -- Chapter 15 On Natural Language Processing to Attack COVID-19 Pandemic: Experiences of Vietnam -- Chapter 16 VacciNet: Towards a Reinforcement Learning based Smart Framework for Predicting the Distribution Chain Optimization of Vaccines for a Pandemic -- Chapter 17 AI-based logistics Solutions to tackle COVID-19 Pandemic and ensure a Sustainable financial Growth -- Chapter 18 A Comparative Modeling and Comprehensive Binding Site Analysis of the South African Beta COVID-19 Variant’s Spike Protein Structure. | |
| 520 | |a This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics. Present discoveries in artificial intelligence techniques and machine learning and deep learning models for combating COVID-19; Provides an overview of practical and simulation concepts of Internet of Medical Things (IoMT) technologies; Proposes frameworks related to the detection and analysis of COVID-19 based on AI and IoMT; . | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Telecommunication. | |
| 650 | 0 | |a Medical informatics. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Medicine, Preventive. | |
| 650 | 0 | |a Health promotion. | |
| 650 | 1 | 4 | |a Communications Engineering, Networks. |
| 650 | 2 | 4 | |a Health Informatics. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Health Promotion and Disease Prevention. |
| 700 | 1 | |a Lahby, Mohamed. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Pilloni, Virginia. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Banerjee, Jyoti Sekhar. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Mahmud, Mufti. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031286308 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031286322 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031286339 |
| 830 | 0 | |a Internet of Things, Technology, Communications and Computing, |x 2199-1081 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-28631-5 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||