图书简介
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.Features:
Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications.Discusses supervised and unsupervised machine learning for IoT data and devices.Presents an overview of the different algorithms related to Machine learning and IoT.Covers practical case studies on industrial and smart home automation.Includes implementation of AI from case studies in personal and industrial IoT.This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Chapter 1 A Study on Feature Extraction and Classification Techniques for Melanoma Detection S. Poovizhi, T. R. Ganesh Babu, R. Praveena, and J. Kirubakaran Chapter 2 Machine Learning based Microstrip Antenna Design in Wireless Communications Ranjana Ray, Moumita Pal, R. Umamaheswari, and Ishita Banerjee Chapter 3 LCL-T Filter Based Analysis of Two Stage Single Phase Grid Connected Module with Intelligent FANN Controllers R. Raja, V. Sudha, Balachandra Pattanaik, and Madhumathy P. Chapter 4 Motion Vector Analysis Using Machine Learning Models to Identify Lung Damages for COVID-19 Patients Malik Mohamed Umar, Murugaiya Ramashini, and M.G.M. Milani Chapter 5 Enhanced Effective Generative Adversarial Networks Based LRSD and SP Learned Dictionaries with Amplifying CS K. Elaiyaraja, M. Senthil Kumar, and B. Chidhambararajan Chapter 6 Deep Learning Based Parkinson’s Disease Prediction System G. Padmapriya, R. Elakkiya, M. Prakash, and Vinoth Kumar M. Chapter 7 Non-Uniform Data Reduction Technique with Edge Preservation to Improve Diagnostic Visualization of Medical Images K. Vidhya, T. R. Ganesh Babu, B. Thilakavathi, S. Poovizhi, and Madhumathy P. Chapter 8 A Critical Study on Genetically Engineered Bioweapons and Computer-Based Techniques as Counter Measure Manvinder Sharma, Bikramjit Sharma, Anuj Kumar Gupta, Digvijay Pandey, Joginder Singh, and Rahul Kakkar Chapter 9 An Automated Hybrid Transfer Learning system for Detection and Segmentation of Tumor in MRI Brain Images with UNet and VGG-19 Network S. Sandhya, M. Senthil Kumar, and B. Chidhambararajan Chapter 10 Deep Learning-Computer Aided Melanoma Detection Using Transfer Learning Mohan Kumar S., T. Kumanan, T. R. Ganesh Babu, and S. Poovizhi Chapter 11 Development of an Agent-based Interactive Tutoring System for Online Teaching in School using Classter Tribhuwan Kumar, Digvijay Pandey, and R. Umamaheshwari Chapter 12 Fusion of Datamining and Artificial Intelligence in Prediction of Hazardous Road Accidents Bilal Khan, Asif Hasan, Digvijay Pandey, Randy Joy M. Ventayen, Binay Kumar Pandey, and Gadee Gowwrii
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