Intelligent Systems and Sustainable Computational Models
Vendu par Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierVendu par Books Puddle, New York, NY, Etats-Unis
Vendeur AbeBooks depuis 22 novembre 2018
Etat : Neuf
Quantité disponible : 3 disponible(s)
Ajouter au panier1st edition NO-PA16APR2015-KAP.
N° de réf. du vendeur 26398750704
This book examines how intelligent systems can help solve such environmental problems such as rising human population, climate change, and the depletion of natural resources. It offers systems implementations that can benefit researchers and professionals.
Dr. N. Rajganesh is presently working as Associate Professor in the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamilnadu, India. He obtained Ph. D degree from Anna University during the year 2018 for his thesis entitled "Fuzzy based Intelligent Semantic Cloud Service Discovery for Effective Utilization of Services". Having 18 years of experience in Teaching and contributes research findings in various reputed international Journals. During his career, he has attended more than 20 Faculty Development Program/Workshop/Seminar, which are sponsored by AICTE, UGC, ISTE, and Anna University. He has functioned as a resource person in more than 10 Faculty Development Programme and organized seminars and workshops. He is functioning as an active reviewer for top-notch journals from IEEE, Springer, Elsevier, and other publishers.
Dr. Senthil Kumar N is an Assistant Professor (Senior) in the Department of Computer Applications, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology (VIT), Vellore. He has been working at VIT for more than 15+ years and totally, he has 18+ years of teaching experience. Currently, he is the RAAC coordinator for the school. Prior to that, he was the Proctor Coordinator and Project Coordinator of the school. He has delivered guest lectures, special talks and webinars at various engineering colleges on the topics of Natural Language Processing, Big Data Analytics, Data Science and Cyber Security. His research interests are NLP, Machine Learning and Semantic Web. In this connection, he has published more research articles in SCOPUS indexed journals and also published research papers at various conferences as well. He is an avid reader and always encourages others to read a lot on the subject that they are really inclined.
Dr. T. Ramkumar is presently working as Professor in the School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India. He obtained Ph. D degree from Anna University, Chennai during the year 2010 for his thesis entitled "Synthesizing Global Association Rules in Multi-Database Mining". Having 22 years of experience in Higher education & research, regularly he contributes papers in various reputed international Journals. Some of his research works have been published in journals from Springer, Elsevier, Wiley, World-Scientific and other publishers. He has functioned as resource person in more than 20 Faculty Development Programme and organized seminars and workshops which are funded by ISTE, AICTE and others. He has successfully guided three research scholars to lead to Ph. D degree.
Dr. C. Pethuru Raj is working as a Vice President and Chief Architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously. worked in IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). I have gained over 22 years of IT industry experience and 9 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. After that, I was granted two international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He is focusing on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization Techniques, Prompt Engineering for Large Language Models (LLMs), Efficient, Explainable and Edge AI, Blockchain, Digital Twins, Cloud-native computing, Edge and Serverless computing, Site Reliability Engineering (SRE), Platform Engineering, 5G, etc.
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