Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering

Author:   Arun Kumar Rana (Galgotias College of Engineering and Technology, India) ,  Vishnu Sharma (ITS Engineering College, India) ,  Sanjeev Kumar Rana (Maharishi Markandeshwar (Deemed to be University), India) ,  Vijay Shanker Chaudhary (Galgotias College of Engineering and Technology, India)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032759234


Pages:   282
Publication Date:   30 October 2024
Format:   Hardback
Availability:   Not yet available   Availability explained
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Evolution of Machine Learning and Internet of Things Applications in Biomedical Engineering


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Author:   Arun Kumar Rana (Galgotias College of Engineering and Technology, India) ,  Vishnu Sharma (ITS Engineering College, India) ,  Sanjeev Kumar Rana (Maharishi Markandeshwar (Deemed to be University), India) ,  Vijay Shanker Chaudhary (Galgotias College of Engineering and Technology, India)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.720kg
ISBN:  

9781032759234


ISBN 10:   1032759232
Pages:   282
Publication Date:   30 October 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Applications of Artificial Intelligence and Internet of Things in Healthcare Industries. 2. ML for Internet of Medical Things Applications: Framework, Developments, and Challenges. 3. IoT Healthcare's Advanced Decision Support through Computational Intelligence. 4. Insights into Thyroid Disease: Harnessing Machine Learning for Analysis and Classification of Multi-Label Medical Data. 5. Longitudinal Study on Non-Communicable Diseases Using Machine Learning. 6. Uncovering Machine Learning Trends in Biomedical: Pulmonary Disease Diagnosis. 7. Smart Surgery: Navigating Precision through Machine Learning and IoT. 8. Classification and Detection of Brain Tumors in MRI Images Using Machine Learning Techniques. 9. Advanced Deep Learning for Early Alzheimer's Detection: A Comparative Analysis. 10. Artificial Intelligence and Machine Learning in Biomedical Signal Processing. 11. Machine Learning and Internet of Things Biomedical Technologies. 12. Revolutionizing Chronic Kidney Disease Prediction: An Enhanced Semi-Supervised Learning Model. 13. Analysing the Seamless Integration of Machine Learning and Internet of Things in the Daily Dynamics of Contemporary Living. 14. Convergence of AR, VR, IoT with Artificial Intelligence to train Surgeons for Medical Surgeries. 15. An overview of IoT & Machine Learning Approach in Health Care. 16. Healthcare Unbound: Navigating Emerging Trends and Future Applications in IoT-Based Innovations for Daily Well-being.. 17. Image Guided Surgery Through ML and IOT.

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Author Information

Arun Kumar Rana is currently Assistant Professor-3 in Galgotias College of Engineering and Technology, Greater Noida, India with more than 16 years of experience. His areas of interest includes image processing, wireless sensor network, Internet of Things, AI, and machine learning and embedded systems. Vishnu Sharma is Professor and Dean CSE at ITS College of Engineering, Greater Noida India. Dr. Sharma completed his BTech, MTech, and PhD (CSE) in 2012 from the Government Autonomous Institute, Madhav Institute of Technology and Science (M.I.T.S.) Gwalior, MP, in Computer Science and Engineering, and was affiliated to Rajiv Gandhi Technical University, Bhopal, India. His areas of interest are mobile computing, cybersecurity, and advanced mobile computing. Sanjeev Kumar Rana is Professor of Computer Science and Engineering at Maharishi Markandeshwar (deemed to be a university), Mullana-Ambala, India. He earned his PhD from Maharishi Markandeshwar University, Mullana-Ambala, India, in 2012. He is also a CISCO-certified instructor. His research interest includes distributed computing, network security, blockchain technology, and big data analytics. Vijay Shanker Chaudhary is Assistant Professor (GCET, Greater Noida) and Researcher (photonic crystal fiber-based biosensors), He received his PhD from the Madan Mohan Malviya University of Technology, Gorakhpur, India. His research interests include photonic crystal fiber, optical fiber sensors, and terahertz sensing properties.

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