Artificial Intelligence (AI)

Edited by:   S. Kanimozhi Suguna (Deemed University India), M. Dhivya (New Horizon College of Engineering, Bangalore), Sara Paiva (Viana do Castelo, Portugal)
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   607g
ISBN:   9780367759698
ISBN 10:   0367759691
Series:   Artificial Intelligence AI: Elementary to Advanced Practices
Pages:   316
Publication Date:   04 October 2024
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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.