Artificial Intelligence and Machine Learning in Smart Wearables
Buy Nowe-ISBN : 978-93-7020-150-7
Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.
Volume : 4-2025
AIM & SCOPE
This book “Artificial Intelligence and Machine Learning in Smart Wearables” provide comprehensive and authoritative resource for readers interested in smart wearables using Artificial Intelligence and Machine Learning. The specific aim of the book may include: How can AI and machine learning be applied to wearables, Applications of AI in smart wearables, Machine Learning approaches for smart wearables, Benefits of AI in Healthcare wearable Technologies, Design and Development of wearables with cutting edge technologies. The Book discusses key role that how artificial intelligence and Machine learning applied to the most popular AI-enabled wearable gadgets, including smart fitness trackers, AI-enabled eyewear, sports wearables, illness diagnosis devices, and more, are covered, along with case stories. This book will be a helpful resource for researchers, academics, technicians, industrialists, practitioners, and any people who want to study the applications of AI and ML in smart wearables
Chapter 1
PERFORMANCE ANALYSIS OFBIGDATA SECURITY IN BLOCKCHAIN TECHNOLOGY
https://www.doi.org/10.58532/nbennurAIMLSW1
Chapter 2
EXPLORING IMAGING MODALITIES USING MACHINE LEARNING FOR LUNG DISEASE DIAGNOSIS
https://www.doi.org/10.58532/nbennurAIMLSW2
Chapter 3
IOT AND MACHINE LEARNING BASED EFFECTIVE AGRICULTURE WITH REAL TIME PREDICTION
https://www.doi.org/10.58532/nbennurAIMLSW3
Chapter 4
BRIDGING RULE-BASED PRECISION WITH AI INTELLIGENCE: ENHANCING NLP WITH REGULAR EXPRESSIONS AND MACHINE LEARNING
https://www.doi.org/10.58532/nbennurAIMLSW4
Chapter 5
MACHINE LEARNING FOR HEALTHCARE WEARABLE DEVICES
https://www.doi.org/10.58532/nbennurAIMLSW5
Chapter 6
WEARABLE SMART SYSTEM FOR VISUALLY IMPAIRED PEOPLE
https://www.doi.org/10.58532/nbennurAIMLSW6
Chapter 7
LIVE HUMAN FALLING DETECTION BY ESTIMATING THE BODY GEOMETRY USING OPENCV
https://www.doi.org/10.58532/nbennurAIMLSW7
Chapter 8
THE FUTURE OF GENE EDITING: AI’s ROLE IN STEM CELL MODIFICATION IN HEALTHCARE
https://www.doi.org/10.58532/nbennurAIMLSW8
Chapter 9
ANDROID APPLICATION FOR MEDICINE DONATION AND DOCTOR CONSULTATION
https://www.doi.org/10.58532/nbennurAIMLSW9
Chapter 10
ADVANCEMENTS IN WEARABLE TECHNOLOGY FOR REMOTE PATIENT MONITORING
https://www.doi.org/10.58532/nbennurAIMLSW10
Chapter 11
AN OVERVIEW OF HEALTHCARE WEARABLES USING MACHINE LEARNING
https://www.doi.org/10.58532/nbennurAIMLSW11
Chapter 12
IOT-BASED SMART WATCH WITH DUST ALLERGY DETECTION SENSOR AND WATER POLLUTION SENSOR
https://www.doi.org/10.58532/nbennurAIMLSW12
Chapter 13
MEDIGUARD:REAL-TIME HEALTH MONITORING AND AMBULANCE DISPATCH SYSTEM
https://www.doi.org/10.58532/nbennurAIMLSW123
EDITORIAL BOARD MEMBERS
Dr. R. Delshi Howsalya Devi
M.E., Ph.D
Professor & Head
Department of Artificial
Intelligence and Data Science, Karpaga Vinayaga College of Engineering and Technology
Chengalpattu, Tamil Nadu, India
Dr. R. Praveen
M.E., Ph.D
Director, R&D and Training
Cornerstone Additive Manufacturing Solutions Pvt. Ltd.
Chennai, India
Dr. Thanapal P
M.E., Ph.D
Associate Professor Senior
Department of Smart Computing
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology
Vellore, India
Dr. D. Kumutha
M.E., Ph.D
Professor Department of ECE
Jeppiar Institute of Technology
Kunnam, Sriperumbudur, Tamil Nadu, India
