Machine learning applications : from computer vision to robotics / edited by Indranath Chatterjee, Sheetal Zalte.

Includes bibliographical references and index.

Statistical similarity in machine learning -- Development of machine learning-based methodologies for adaptive intelligent e-learning systems and time series analysis techniques -- Time-series forecasting for stock market using convolutional neural networks -- Comparative study for applicability of color histograms for CBIR used for crop leaf disease detection -- Stock Index Forecasting Using RNN-Long Short Term Memory -- Study and analysis of machine learning models for detection of phishing URLs -- Real-world applications of blockchain technology in internet of things -- Advanced persistent threat: Korean cyber security knack model impost and applicability -- Integration of Blockchain Technology and Internet of Things: Challenges and its Solutions -- Machine learning techniques for swot analysis of online education system -- Crop yield and soil moisture prediction using machine learning algorithms. -- Multi-rate signal processing in WSN for channel capacity and energy efficiency using machine learning. -- Introduction to mechanical design of AI-based robotic system.

"Machine learning (ML), and deep learning (DL) technologies are changing virtually every industry around the world. These technologies are increasingly being used in robotics and vehicle automation, and in businesses such as financial services, retail, manufacturing, healthcare, and life sciences. This book details the advances in these technologies and presents case studies on how they can be applied to different domains such as image processing, computer vision, robotics, and more. Comprised of 13 chapters, this book introduces real-world applications of machine and deep learning to healthcare, blockchain technology, cyber security, and climate change completed with case studies, solutions, and use cases for the reader's active learning. With a team of expert contributors, applications to image processing are examined, including medical imaging, pattern recognition, object detection, image segmentation, image transformation, morphological processing and more. An explanation of AI and robotic applications in mechanical design is also discussed including robot-assisted surgeries, security, and space exploration. Aimed at professionals and researchers alike, this book covers a range of important machine and deep learning applications. The editors and contributors describe the importance of each subject area and detail why they are so important to us"-- Provided by publisher.

About the Author
Indranath Chatterjee is a Professor in the Department of Computer Engineering, at Tongmyong University, South Korea. He received his PhD from University of Delhi, India and has authored several books and numerous, research papers. His areas of research are AI, computer vision, computation neuroscience and medical imaging.

Sheetal Zalte is an Assistant Professor in the Department of Computer Science at Shivaji University, India. She earned her PhD from Shivaji University, India, and has published many research papers. Her research area is mobile adhoc networks.