Integration of Internet of Things and Machine Learning - Design Models, Architectures and Application

The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things

• Discusses comprehensively topics such as sensor data collection, data preprocessing, feature extraction, and model training.
• Offers simplified explanations of algorithms like neural networks, decision trees, and clustering techniques, making them accessible to readers with limited technical background.
• Showcases practical insights by presenting real-world applications of the Internet of Things, and machine learning in domains such as smart homes, healthcare, transportation, and manufacturing.
• Covers issues such as data quality, model overfitting, security vulnerabilities, and scalability. Includes tutorials on setting up Internet of Things devices, collecting and preprocessing data, and building machine learning models.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

List of contents

Chapter 1 IOT: Fundamentals and Challenges
Mohit Malik, Dr. Pooja Dhand and Dr. Parvinder Sandu
Chapter 2 Machine Learning Algorithms for IoT and Smart Intelligent Decisions
Sujit Vishwanath Kumbhar, Pradnya Raju Kesarkar, Sandhya Ganesh Kadam, Samruddhi Pravin Awalekar, Pallavi Rajaram Patil, Shravani Mahavir Kothale
Chapter 3 Enhancing IoT Intelligence using Machine Learning and Artificial Intelligence for Smart Decision-Making
Sandeep Kumar Hegde
Chapter 4 Machine Learning & IoT : Smart Decision-Making Applications
R.Ramya, P.Kumar, K.Vanitha, and C.Saranya
Chapter 5 The Convergence of IoT and Machine Learning: A Case Study on Innovations, Challenges, and Applications
Jagadeshwari Puttanapura, Monika Singh T, Kishor Kumar Reddy C, Kari Lippert
Chapter 6 Enhancing Remote Healthcare With Iot: An Integrated Imaging And Machine Learning Methodology For Accurate Retinal Disease Diagnosis
Mudassir Khan, Fahimuddin Shaik, Anwar Bhasha Pattan and Shaik Karimullah
Chapter 7 Edge Computing and IoT Technology for Enhancing Crop Yield
Revanasiddappa Bandi
Chapter 8 Intelligent Blood Bank Management Using IoT for Enhanced Healthcare Delivery
Baya Reddy Lomada, B. Sreenivasulu, Patan Anwar Basha, Mudassir Khan and Shaik Karimullah
Chapter 9 Innovative Applications for a Smarter and Sustainable Future: Leveraging the Power of IoT and Machine Learning
Kishor Kumar Reddy C, Madiha Munawar , Monika Singh T , and Marlia Mohammed Hanafiah
Chapter 10 Smart Water Management A Case Study Of Green Wall Filtration Systems For Sustainable Transformation
Chockalingam Aravind Vaithilingam, Fong-Lee Ng, Low Wei Rong, Sim Chong Yuan and Ananthakrishnan Balasundaram
Chapter 11 Strategic Approaches to Efficient Data Aggregation and Malicious Node Detection in IoT-Enabled Healthcare Systems
Ganesh Srinivasa Shetty, Raghu N, Ranjith Bhat, P. Rajashree Nambiar and Anil Kumar D. B.
Chapter 12 missing
Chapter 13 Discrimination of Power System Disturbance and Cyber-Attacks through Machine Learning and Explainable Artificial Intelligence
Niharika Agrawal and Sheila Mahapatra
Chapter 14 AI Gesture Draw: Hand Gesture-Based Drawing Interface with AI-Assisted Output Using Computer Vision and AI
Swathi Gowroju, Shilpa Choudhary, Annoji SriPoojith, Puvvula Haritha, Shaga Preethika and G.Sai Kiran
Chapter 15 Improved Fetal ECG Detection Using a Hybrid Wavelet-Based Denoising Method
K. Naga Sankar Reedy, Peddapullaiahgari Hariobulesu, Shaik Karimullah, Anwar Bhasha Pattan, Fahimuddin Shaik and Mudassir Khan
Chapter 16 Heart Rate Estimation Using An Ecg-Aided Ppg Signal Quality Assessment Framework
K. Naga Sankar Reedy, Peddapullaiahgari Hariobulesu, Shaik Karimullah, Anwar Bhasha Pattan and Fahimuddin Shaik
Chapter 17 Cigarettes And E-Cigarettes, To Be Or Not To Be?
Navneet Kaur, Shalini Sahay, Shruti Dixit
Chapter 18 Bangalore's Smart Cities: IoT and Electric Vehicles Shaping Real-Time Urban Growth\
Harpreet Kaur Channi, Ramandeep Sandhu, Deepika Ghai, Nimisha Singh, Gursewak Singh and Shivam Ghai
Chapter 19 Revolutionizing Industries with Smart Solutions: Case Studies on the Transformative Impact of IoT and Machine Learning
Laya Billinty Varra, Monika Singh T, Kishor Kumar Reddy C, and Srinath Doss
Chapter 20 A Deep Learning and Optimization-Based Cardiac Diagnosis System for Heart Disease Classification Using ECG Signals
C. Venkatesh, L. Sivayamini, M.Venkata Dasu, Shaik Karimullah, and T.Lakshminarayana
Chapter 21 Sentiments of Sustainability: Exploring Ecological Narratives in the Mahabharata through Natural Language Processing
Aarushi Yadav, Santosh Kumar Yadav, Irfan Ahmad Pindoo and Prakash Singh Tanwar
Chapter 22 AI-Powered Animal Intrusion Detection for Preventing Vehicle Collisions and Agricultural Damage
Shobha Rani B R and Hemanth L
Chapter 23 Hybrid Deep Learning Framework for Predicting Long-Term Climate Patterns Using Satellite Data and IoT Sensors
Abhishek Kumar, Harpreet Singh Bedi and Tanishk Singhal
Chapter 24 Harnessing IoT and Machine Learning for Real-Time Intelligence: Innovations and Challenges
Harleenpal Singh and Akhil Kumar Verma

About the author

Mudassir Khan is currently working as an Assistant Professor, in the Department of Computer Science, at King Khalid University Abha, Saudi Arabia. He has more than 13 years of Teaching Experience at the King Khalid University of Saudi Arabia and has published more than 42 papers in International Journals, and conferences. His research interests include big data, the Internet of Things, deep learning, machine learning, fuzzy logic, image processing, cyber security, and cloud computing.
Shaik Karimullah is currently serving as an Assistant Professor, in the Department of Electronics and Communication Engineering, at Annamacharya University, Andhra Pradesh, India. He has published research papers in the field of VLSI, and image processing in journals and conferences. His research interests include VLSI, image processing, wireless communications, and embedded systems. Fahimuddin Shaik is working as an Associate Professor, in the Department of Electronics and Communication Engineering, at Annamacharya University, Andhra Pradesh, India. His areas of research interest include image processing, medical imaging, segmentation, biomedical imaging, digital image processing, and computer vision. He has published research papers in journals and conferences.
Suman Lata Tripathi is working as a Professor at Lovely Professional University with more than 22 years of experience in academics and research. She has published more than 125 research papers in journals, and conference proceedings. Her area of expertise includes microelectronics device modelling and characterization, low-power VLSI circuit design, VLSI design of testing, advanced FET design for the Internet of Things, embedded system design, reconfigurable architecture with FPGAs, and biomedical applications.

Product details

• Assisted by: Shaik Karimullah (Editor), Khan Mudassir (Editor), Suman Lata Tripathi (Editor), Shaik Fahimuddin (Editor)
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Release: 19.02.2026
• EAN: 9781041062943
• ISBN: 978-1-041-06294-3
• No. of pages: 400
• Illustrations: schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Software Engineering, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Electrical, computer science, COMPUTERS / Computer Engineering, Electrical Engineering, Information technology: general issues, Automatic control engineering, Digital and Information technology: general topics