Smart Technologies in Healthcare Management (eBook, PDF)
Pioneering Trends and Applications
Redaktion: Sindhwani, Nidhi; Kannan, Ramani; Rana, Ajay; Tanwar, Sarvesh
52,95 €
52,95 €
inkl. MwSt.
Sofort per Download lieferbar
26 °P sammeln
52,95 €
Als Download kaufen
52,95 €
inkl. MwSt.
Sofort per Download lieferbar
26 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
52,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
26 °P sammeln
Smart Technologies in Healthcare Management (eBook, PDF)
Pioneering Trends and Applications
Redaktion: Sindhwani, Nidhi; Kannan, Ramani; Rana, Ajay; Tanwar, Sarvesh
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 15.44MB
Andere Kunden interessierten sich auch für
- Smart Technologies in Healthcare Management (eBook, ePUB)52,95 €
- Machine Learning in Healthcare and Security (eBook, PDF)52,95 €
- Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem (eBook, PDF)52,95 €
- Immersive Virtual and Augmented Reality in Healthcare (eBook, PDF)52,95 €
- Next Generation Healthcare Systems Using Soft Computing Techniques (eBook, PDF)48,95 €
- Data Protection and Privacy in Healthcare (eBook, PDF)55,95 €
- Maha ZayoudProcess Mining Techniques for Managing and Improving Healthcare Systems (eBook, PDF)52,95 €
-
-
-
Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 294
- Erscheinungstermin: 28. Juni 2024
- Englisch
- ISBN-13: 9781040030189
- Artikelnr.: 70717826
- Verlag: Taylor & Francis
- Seitenzahl: 294
- Erscheinungstermin: 28. Juni 2024
- Englisch
- ISBN-13: 9781040030189
- Artikelnr.: 70717826
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Nidhi Sindhwani works as an Assistant Professor at Amity School of Engineering and Technology Delhi, Amity University, Noida, India. She earned her Ph.D. (ECE) from Punjabi University, Patiala, Punjab, India. She has 15-plus years of teaching experience and is a Life Member of the Indian Society for Technical Education (ISTE) and a member of IEEE. She has published three chapters in reputable books, ten papers in Scopus/SCIE Indexed Journals, and has four patents to her credit. Dr. Sindhwani has presented various research papers at national and international conferences and was asked to chair a session at two conferences. Her research areas include Wireless Communication, Image Processing, Optimization, Machine Learning, and IoT. Dr. Ajay Rana has demonstrated his intellectual, interpersonal, and managerial skills through his teaching experience in academics and industry, with roles ranging from Lecturer to Professor to Director to Dean over 20-plus years. He is an educationalist, a teacher, an innovator, a strategist, and a committed philanthropist. Dr. Rana's core life philosophy includes deep organizational ethics, equality, and a desire to help every individual who wishes to succeed in life. Dr. Rana's areas of interest include Machine Learning, the Internet of Things, Augmented Reality, Software Engineering, and Soft Computing. He has 60-plus patents under his name in the field of IoT, Networks, and Sensors. He has published more than 271 research papers in reputed journals and presented at international and national conferences. He has co-authored eight books and co-edited 36 conference proceedings. Dr. Rana is Chairman of AUN Research Labs, an executive committee member of IEEE, and a Life Member of the Computer Society of India/ISTE. He is also a member of the Editorial Board and Review Committee of several journals. Dr. Sarvesh Tanwar is an Associate Professor at Amity Institute of Information Technology (AIIT), Amity University, Noida. She is the head of the AUN Blockchain and Data Security Research Lab. She completed her M. Tech (CSE) degree from MMU, Mullana, and her Ph.D. in (CSE) from Mody University, Laxmangarh (Raj.), and has more than 14 years of teaching and research experience to her credit. Her areas of research include Public Key Infrastructure (PKI), Cryptography, Blockchain, and Cyber Security. She has published more than 50 research papers in international journals and conferences and has filed 17 patents. Dr. Tanwar is a journal reviewer and a member of the board of IJISP, IGI Global, USA. Dr. Ramani Kannan is currently working as a Senior Lecturer at the Center for Smart Grid Energy Research, Institute of Autonomous Systems at the University Teknologi PETRONAS (UTP), Malaysia. Dr. Kanan completed his Ph.D. (Power Electronics and Drives) from Anna University, in India, in 2012, his M. E. (Power Electronics and Drives) from Anna University, in India, in 2006, and his B. E. (Electronics and Communication) from Bharathiyar University, in India, in 2004. He has more than 15 years of experience in prestigious educational institutes and has published more than 130 papers in various reputed national and international journals and conferences. He has been the editor, co-editor, guest editor, and reviewer of various books and received the award for best presenter at the CENCON 2019, IEEE Conference on Energy Conversion (CENCON 2019) Indonesia.
1. Role of Big Data Analysis for Smart Healthcare in Large Cities. 2.
Machine Learning-Based Inconsistency Detection in Medical Data. 3. A
Perspective on Improvements in Segmentation Image Processing in Healthcare
Datasets. 4. Health Risk Analysis Based on Embedded IoT Data and Machine
Learning. 5. A Comparison and Analysis of Risk Based on IoT and Healthcare.
6. Biomechanics Features-Based IoT and Machine Learning For Orthopedic
Patients. 7. Healthcare-Based Human Activity Recognition and Transportation
Mode Detection Using IoT Sensors. 8. A Study of Metaverse on Medicare
Analysis Using Healthcare Analysis. 9. Blockchain and IoT Sensors in
Healthcare 5.0. 10. Role of Cloud Computing in Healthcare Sector. 11.
Challenges Faced by AI in Healthcare and Future Opportunities. 12. Privacy
and Security Consideration in Healthcare: Navigating the Challenges of IoT
and Ubiquitous Computing. 13. Empowering Harvest - Unlocking the Secrets to
Optimal Health. 14. Violence-Based Object Detection in Streets for
Effective Monitoring of Safe Environments. 15. COVID Safety Compliance
Detection to Determine Locations with High Probability of Spread of
Infection. 16. Transfer Learning and Chest X-Ray-Based Image Processing and
Modeling to Detect COVID-19.
Machine Learning-Based Inconsistency Detection in Medical Data. 3. A
Perspective on Improvements in Segmentation Image Processing in Healthcare
Datasets. 4. Health Risk Analysis Based on Embedded IoT Data and Machine
Learning. 5. A Comparison and Analysis of Risk Based on IoT and Healthcare.
6. Biomechanics Features-Based IoT and Machine Learning For Orthopedic
Patients. 7. Healthcare-Based Human Activity Recognition and Transportation
Mode Detection Using IoT Sensors. 8. A Study of Metaverse on Medicare
Analysis Using Healthcare Analysis. 9. Blockchain and IoT Sensors in
Healthcare 5.0. 10. Role of Cloud Computing in Healthcare Sector. 11.
Challenges Faced by AI in Healthcare and Future Opportunities. 12. Privacy
and Security Consideration in Healthcare: Navigating the Challenges of IoT
and Ubiquitous Computing. 13. Empowering Harvest - Unlocking the Secrets to
Optimal Health. 14. Violence-Based Object Detection in Streets for
Effective Monitoring of Safe Environments. 15. COVID Safety Compliance
Detection to Determine Locations with High Probability of Spread of
Infection. 16. Transfer Learning and Chest X-Ray-Based Image Processing and
Modeling to Detect COVID-19.
1. Role of Big Data Analysis for Smart Healthcare in Large Cities. 2.
Machine Learning-Based Inconsistency Detection in Medical Data. 3. A
Perspective on Improvements in Segmentation Image Processing in Healthcare
Datasets. 4. Health Risk Analysis Based on Embedded IoT Data and Machine
Learning. 5. A Comparison and Analysis of Risk Based on IoT and Healthcare.
6. Biomechanics Features-Based IoT and Machine Learning For Orthopedic
Patients. 7. Healthcare-Based Human Activity Recognition and Transportation
Mode Detection Using IoT Sensors. 8. A Study of Metaverse on Medicare
Analysis Using Healthcare Analysis. 9. Blockchain and IoT Sensors in
Healthcare 5.0. 10. Role of Cloud Computing in Healthcare Sector. 11.
Challenges Faced by AI in Healthcare and Future Opportunities. 12. Privacy
and Security Consideration in Healthcare: Navigating the Challenges of IoT
and Ubiquitous Computing. 13. Empowering Harvest - Unlocking the Secrets to
Optimal Health. 14. Violence-Based Object Detection in Streets for
Effective Monitoring of Safe Environments. 15. COVID Safety Compliance
Detection to Determine Locations with High Probability of Spread of
Infection. 16. Transfer Learning and Chest X-Ray-Based Image Processing and
Modeling to Detect COVID-19.
Machine Learning-Based Inconsistency Detection in Medical Data. 3. A
Perspective on Improvements in Segmentation Image Processing in Healthcare
Datasets. 4. Health Risk Analysis Based on Embedded IoT Data and Machine
Learning. 5. A Comparison and Analysis of Risk Based on IoT and Healthcare.
6. Biomechanics Features-Based IoT and Machine Learning For Orthopedic
Patients. 7. Healthcare-Based Human Activity Recognition and Transportation
Mode Detection Using IoT Sensors. 8. A Study of Metaverse on Medicare
Analysis Using Healthcare Analysis. 9. Blockchain and IoT Sensors in
Healthcare 5.0. 10. Role of Cloud Computing in Healthcare Sector. 11.
Challenges Faced by AI in Healthcare and Future Opportunities. 12. Privacy
and Security Consideration in Healthcare: Navigating the Challenges of IoT
and Ubiquitous Computing. 13. Empowering Harvest - Unlocking the Secrets to
Optimal Health. 14. Violence-Based Object Detection in Streets for
Effective Monitoring of Safe Environments. 15. COVID Safety Compliance
Detection to Determine Locations with High Probability of Spread of
Infection. 16. Transfer Learning and Chest X-Ray-Based Image Processing and
Modeling to Detect COVID-19.