Intelligent Systems And Machine Learning For Industry Advancements Challenges And Practices P R Anisha by P. R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen, Megha Bhushan, Ashok Kumar, Marlia Mohd Hanafiah 9781032261447, 1032261447 instant download after payment.

With the improvements of intelligent systems and machine intelligence systems, a huge volume of information is composed successfully, and making use of such information is of complete benefit to researchers, academicians, practitioners, scientists, governments, and end customers. The innovative concepts and practices such as intelligent systems, machine intelligence systems, deep learning, edge computing, cognitive analytics, and so on cast light on creating decent conventions of huge amounts of information through great difficulty. The individuality of this book lies in the appropriate collection and presentation of an emergent multi-disciplinary research trend of intelligent systems and machine intelligence that spans a wide area and has established a substantial influence on our industry and science community.
This book consists of 16 chapters, mainly covering concepts, applications, and challenges of the Internet of Things, virtual reality, machinelearning, deep learning, and image processing techniques in various applications.
Further, the book covers advanced concepts like ensemble methods, fuzzy systems, intelligent systems applications in software engineering, and sentiment analysis. The book covers major applications like classification of pandemic diseases, medical diagnosis, latest technologies in healthcare education, smart farming, monitoring marine environment conditions, managing agriculture pollution, prediction of crop selection, food processing industry applications, smarter defense service, speech recognition for Indian-accent English, stock market prediction, and intelligent software effort estimation models.
The main focus of this book is to provide insights and complete knowledge of machine learning, deep learning, and the Internet of Things and their integration into various industrial applications. We trust that the proposed
book will let readers find innovative ideas that are helpful to their research in various aspects.