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

1 Applications of Artificial Intelligence and Internet of Things in Healthcare Industries 
A. Ameer Rashed Khan, R. N. Muhammad Ilyas, and M. Nagoor Meeral

2 Machine Learning for Internet of Medical Things Applications: Framework, Developments, and Challenges 
Divneet Kaur, Bharatdeep Singh, and Sita Rani

3 IoT Healthcare's Advanced Decision Support through Computational Intelligence 
Dr. Pawan Whig, Dr. Jhansi Bharathi Madavarapu, Dr. Nikhitha Yathiraju, and Dr. Ramya Thatikonda

4 Insights into Thyroid Disease: Harnessing Machine Learning for Analysis and Classification of Multi-Label Medical Data 
Shalu Surendran and Dr M. Umme Salma

5 Longitudinal Study on Non-Communicable Diseases Using Machine Learning 
Joshua K Deepak and Dr M. Umme Salma

6 Uncovering Machine Learning Trends in Biomedical: Pulmonary Disease Diagnosis
Anish Singh, Atul Kabra, and Anupam Bonkra

7 Smart Surgery: Navigating Precision through Machine Learning and IoT
Anita Mohanty, Ambarish G. Mohapatra, and Subrat Kumar Mohanty

8 Classification and Detection of Brain Tumors in MRI Images Using Machine Learning Techniques 
Ganesh Khekare, Gaurav Kumar Ameta, Rahul Sharma, Anil Turukmane, Pooja Sharma, Urvashi Khekare, and Rahul Agrawal

9 Advanced Deep Learning for Early Alzheimer's Detection: A Comparative Analysis
J. Deepika Roselind, G. Logeswari, and G. Sudhakaran

10 Artificial Intelligence and Machine Learning in Biomedical Signal Processing 
Aditya Kumar, Niharika Koch, Sk Imran, and Jainath Yadav

11 Machine Learning and Internet of Things Biomedical Technologies
Dr. Ruchin Kacker, Dr. Sanjay Kumar Singh, and Dr. Amit Arora

12 Revolutionizing Chronic Kidney Disease Prediction: An Enhanced Semi-Supervised Learning Model
G. Logeswari, J. Deepika Roselind, and G. Sudhakaran 

13 Analysing the Seamless Integration of Machine Learning and Internet of Things in the Daily Dynamics of Contemporary Living 
Kanchan Naithani, Y. P. Raiwani, and Shrikant Tiwari

14 Convergence of AR, VR, IoT with Artificial Intelligence to Train Surgeons for Medical Surgeries 
Rishabh Jha, Amrita Singh, and Arun Kumar Rana

15 An Overview of IoT and Machine Learning Approach in Healthcare 
Niva Tripathy, Subhranshu Sekhar Tripathy, and Subhendu Kumar Pani

16 Healthcare Unbound: Navigating Emerging Trends and Future Applications in IoT-Based Innovations for Daily Well-being
Mrunalini H. Kulkarni and Dr. Poonam R. Inamdar

17 Image-Guided Surgery Through ML and IOT 
Pallavi Pandey and Priyanka Gauniya

Biography

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.