4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing / EAI/Springer Innovations in Communication and Computing (PDF)
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This book features the proceedings of the 4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2021). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.
- Contains proceedings from EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2021);
- Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms;
- Relevant for researchers, professionals, academics, and students in Cognitive Computing.
Dr. Arulmurugan Ramu is a Professor, Presidency University, Bengaluru, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 52 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided
Dr. Sudha Mohanram has graduated from Government College of Engineering, Salem and has obtained her master's in engineering from Coimbatore Institute of Technology. She has completed her PhD in Electrical Engineering in Anna University Chennai in the year 2010. She started her teaching profession as a Lecturer in Government College of Technology, Coimbatore. She possesses 20 years of teaching experience. When she was about 13 years into teaching profession, her family founded Sri Eshwar College of Engineering in 2008. She has been playing the role of Secretary till 2011 and became the Principal of the institution in 2011. She has steered the institution to be one of the most sought after institutions in Coimbatore, within a short span of time through its laudable achievement in Academic excellence and Placement. She has published many papers in leading journals. She is a member of IEEE and EAI research group.
Dr. Rita Zgheib is an assistant professor at the Department of Computer Engineering and Computational Science, Canadian University Dubai, UAE. She has 5+ years of academic and research experience in different university institutions in France and the UAE. Her research interests include - disease and epidemic detection, healthcare applications, IoT architecture, ontologies, semantic reasoning, Machine Learning, and software engineering. She has authored and co-authored several papers with experts from different countries (France, Italy, Norway, UAE) in international conferences and journals. She is a member of the Institute of Electrical and Electronics Engineers (IEEE) and an active member of International Program Committees, Technical Program Committees, and Advisory Committees of several academics conferences.
- 2022, 1st ed. 2023, 271 Seiten, Englisch
- Herausgegeben: Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram, Rita Zgheib
- Verlag: Springer International Publishing
- ISBN-10: 3031076540
- ISBN-13: 9783031076541
- Erscheinungsdatum: 27.09.2022
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- Größe: 7.35 MB
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