1. This book will attempt to provide a wide range of research and development work under the umbrella of Intelligent Computing. Aim of this book is to motivate research and applications of advanced Intelligent Computing. This book will try to gather original contributions from prospective authors specially solicited on topics covered under broad areas such as Linguistic Computing, Statistical Computing, Data Computing and Ambient Applications. Some of the topics will cover industrial issues/applications and academic research into intelligent computing.
2. Deep Learning architectures are being increasingly used in day to day applications where traditional machine learning and deep learning algorithms were used. Their improved accuracy, effectiveness in handling large data as well as reduced redundancy have major impact on growing application in the relevant field creating a demand for such a book in the market
3. This is an edited book that covers a very wide are of AI applications, so it will be difficult to specify principle competitive books. This book could be unique in terms of the subject are that the book trying to cover