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<p style="text-align: justify;"><span style="font-family: helvetica, arial, sans-serif;">e-ISBN : 978-93-7020-150-7</span><br /><span style="font-family: helvetica, arial, sans-serif;">Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.</span><br /><span style="font-family: helvetica, arial, sans-serif;">Volume : 4-2025</span></p> <p style="text-align: justify;"><span style="font-family: helvetica, arial, sans-serif;"><strong>AIM & SCOPE<br /></strong>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</span></p> <p><strong>Chapter 1</strong><br />PERFORMANCE ANALYSIS OFBIGDATA SECURITY IN BLOCKCHAIN TECHNOLOGY<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW1">https://www.doi.org/10.58532/nbennurAIMLSW1</a></p> <p><strong>Chapter 2</strong><br />EXPLORING IMAGING MODALITIES USING MACHINE LEARNING FOR LUNG DISEASE DIAGNOSIS<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW2">https://www.doi.org/10.58532/nbennurAIMLSW2</a></p> <p><strong>Chapter 3</strong><br />IOT AND MACHINE LEARNING BASED EFFECTIVE AGRICULTURE WITH REAL TIME PREDICTION<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW3">https://www.doi.org/10.58532/nbennurAIMLSW3</a></p> <p><strong>Chapter 4</strong><br />BRIDGING RULE-BASED PRECISION WITH AI INTELLIGENCE: ENHANCING NLP WITH REGULAR EXPRESSIONS AND MACHINE LEARNING<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW4">https://www.doi.org/10.58532/nbennurAIMLSW4</a></p> <p><strong>Chapter 5</strong><br />MACHINE LEARNING FOR HEALTHCARE WEARABLE DEVICES<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW5">https://www.doi.org/10.58532/nbennurAIMLSW5</a></p> <p><strong>Chapter 6</strong><br />WEARABLE SMART SYSTEM FOR VISUALLY IMPAIRED PEOPLE<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW6">https://www.doi.org/10.58532/nbennurAIMLSW6</a></p> <p><strong>Chapter 7</strong><br />LIVE HUMAN FALLING DETECTION BY ESTIMATING THE BODY GEOMETRY USING OPENCV<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW7">https://www.doi.org/10.58532/nbennurAIMLSW7</a></p> <p><strong>Chapter 8</strong><br />THE FUTURE OF GENE EDITING: AI’s ROLE IN STEM CELL MODIFICATION IN HEALTHCARE<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW8">https://www.doi.org/10.58532/nbennurAIMLSW8</a></p> <p><strong>Chapter 9</strong><br />ANDROID APPLICATION FOR MEDICINE DONATION AND DOCTOR CONSULTATION<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW9">https://www.doi.org/10.58532/nbennurAIMLSW9</a></p> <p><strong>Chapter 10</strong><br />ADVANCEMENTS IN WEARABLE TECHNOLOGY FOR REMOTE PATIENT MONITORING<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW10">https://www.doi.org/10.58532/nbennurAIMLSW10</a></p> <p><strong>Chapter 11</strong><br />AN OVERVIEW OF HEALTHCARE WEARABLES USING MACHINE LEARNING<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW11">https://www.doi.org/10.58532/nbennurAIMLSW11</a></p> <p><strong>Chapter 12</strong><br />IOT-BASED SMART WATCH WITH DUST ALLERGY DETECTION SENSOR AND WATER POLLUTION SENSOR<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW12">https://www.doi.org/10.58532/nbennurAIMLSW12</a></p> <p><strong>Chapter 13</strong><br />MEDIGUARD:REAL-TIME HEALTH MONITORING AND AMBULANCE DISPATCH SYSTEM<br /><a href="https://www.doi.org/10.58532/nbennurAIMLSW123">https://www.doi.org/10.58532/nbennurAIMLSW123</a></p> <p style="text-align: justify;"><strong>EDITORIAL BOARD MEMBERS</strong></p> <p style="text-align: justify;"><strong>Dr. R. Delshi Howsalya Devi<br /></strong>M.E., Ph.D<br />Professor & Head<br />Department of Artificial<br />Intelligence and Data Science, Karpaga Vinayaga College of Engineering and Technology<br />Chengalpattu, Tamil Nadu, India</p> <p style="text-align: justify;"> </p> <p style="text-align: justify;"><strong>Dr. R. Praveen</strong><br />M.E., Ph.D<br />Director, R&D and Training<br />Cornerstone Additive Manufacturing Solutions Pvt. Ltd. <br />Chennai, India</p> <p style="text-align: justify;"><strong>Dr. Thanapal P</strong><br />M.E., Ph.D<br />Associate Professor Senior<br />Department of Smart Computing<br />School of Computer Science Engineering and Information Systems, Vellore Institute of Technology<br />Vellore, India</p> <p style="text-align: justify;"><strong>Dr. D. Kumutha</strong><br />M.E., Ph.D<br />Professor Department of ECE<br />Jeppiar Institute of Technology<br />Kunnam, Sriperumbudur, Tamil Nadu, India</p> <p style="text-align: justify;"> </p>
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