
Deep Learning Research Applications for Natural Language Processing
Author(s): L. Ashok Kumar (Editor), Dhanaraj Karthika Renuka (Editor), S. Geetha (Editor)
- Publisher: Engineering Science Reference
- Publication Date: 9 Dec. 2022
- Language: English
- Print length: 290 pages
- ISBN-10: 1668460025
- ISBN-13: 9781668460023
Book Description
Editorial Reviews
About the Author
Dr. D. Karthika Renuka (Dhanaraj Karthika Renuka) is working as Professor in Department of Information Technology, PSG College of Technology. Her professional career of 19 years has been with PSG College of Technology since 2004. She is a recipient of Indo-U.S. Fellowship for Women in STEMM (WISTEMM)-Women Overseas Fellowship program supported by the Department of Science and Technology (DST), Govt. of India and implemented by the Indo-U.S. Science & Technology Forum (IUSSTF). She was a Postdoctoral Research Fellow from Wright State University, Ohio, USA. She has received “Women Scientist Award” under the category of Machine learning on May30th, 2021 from HUMCEN Awards. Her area of specializations includes Data Mining, Evolutionary Algorithms, Soft Computing, Machine Learning and Deep Learning, Affective Computing, Computer Vision. She is a reviewer for Computers and Electrical Engineering, Elsevier, Wiley Book chapter, Springer Book Chapters on “Knowledge Computing and its Applications”. She has authored a book titled “Deep Learning using Python”, Wiley India Pvt Ltd. She has published several papers in reputed National and International journals and conferences.
S. Geetha (Senior Member, IEEE) is currently a Professor and the Associate Dean, Research with the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, India. She received the B.E. degree in Computer Science and Engineering from Madurai Kamaraj University, India, in 2000, and the M.E. degree in Computer Science and Engineering and the Ph.D. degree from Anna University, Chennai, India, in 2004 and 2011, respectively. Her research interests include steganography, steganalysis, multimedia security, intrusion detection systems, machine learning paradigms, computer vision and information forensics. She has more than 20 years of rich teaching and research experience. She has published more than 100 papers in reputed international conferences and refereed journals like IEEE, Springer, Elsevier publishers. She joins the Review Committee and the Editorial Advisory Board of reputed journals. She has given many expert lectures, keynote addresses at international and national conferences. She has organized many workshops, conferences, and FDPs. She was a recipient of the University Rank and Academic Topper Award in her B.E. and M.E. degrees, in 2000 and 2004, respectively. She was also the proud recipient of the ASDF Best Academic Researcher Award 2013, the ASDF Best Professor Award 2014, the Research Award in 2016, and the High Performer Award 2016, Best Women Researcher Award 2021.
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