Integration of Internet of Things and Machine Learning

Design Models, Architectures and Application
1. Auflage 2026
ISBN: 978-1-041-06294-3
Verlag: CRC Press

Buch, Englisch, 400 Seiten, Format (B × H): 156 mm x 234 mm

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.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Khan, Mudassir

Shaik, Fahimuddin

Karimullah, Shaik

Lata Tripathi, Suman

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

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 Acidification of Freshwater and Impact on Aquatic Life

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

Über Autor(innen)

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.