This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions.
The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications.
The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.
Author Biography:
S. Kanimozhi Suguna received her B.Sc., M.C.A., M.Phil., and Ph.D., in the years 2005, 2008, 2009 and 2015 respectively. She has seven years of teaching experience and working as an Assistant Professor in the Department of CSE, School of Computing, SASTRA University, Thanjavur, India from 2017. Her research interests include Image Processing, Data Mining, Web Mining, Wireless Sensor Networks. She is an Editorial Member in IGI - Global and Editorial Advisory Board in various International Conferences. She is the member of IEEE and CSI. She has published four Book Chapters, 12 International Journals, and five conference presentations.
M. Dhivya received her B.E., M.E. and Ph.D. Degree in Electrical Engineering in the year 2006, 2008 and 2013 respectively. Her current working institution is New Horizon College of Engineering, Bangalore. She has worked as Associate Professor in the Department of Electronics and Communication Engineering at Dr.N.G.P. Institute of Technology. She has received a grant of Rs. 4,00,000 from Texas Instruments for Organizing Four Day Faculty Empowerment Programme on "Analog, Power, Embedded systems and Wireless (IoT)". She has guided 30 Post Graduate Scholars in Disciplines like Applied Electronics, Electric Drives and Embedded Control, Power Electronics and Drives and Control, and Instrumentation. Her research Interests are Wireless Sensor Networks, Embedded Systems, Real-Time Systems, Optimization Techniques and Machine Learning.
Sara Paiva is an Associate Professor at the Polytechnic Institute of Viana do Castelo, a PhD in Informatics Engineering from University of Vigo and a Postdoctoral researcher at the University of Oviedo since January 2018, under advanced driving assistants and urban mobility. Sara Paiva coordinates ARC4DigiT, the Applied Research Center for Digital Transformation (http://arc4digit.ipvc.pt), created in January 2018. Her main line of research are urban mobility solutions. She has 5 edited books with Springer and IGI and other 6 on-going, has more than 40 publications among international journals, conferences and book chapters, is a frequent reviewer of journals and international conferences and supervises several final projects of Bachelor and Master in her main line of work.
