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OverviewFull Product DetailsAuthor: Rajganesh Nagarajan , Senthil Kumar Narayanasamy , Ramkumar Thirunavukarasu , Pethuru Raj (IBM Pvt.Ltd., Manyata Tech Park, Bangolore, India)Publisher: Taylor & Francis Ltd Imprint: Auerbach Weight: 0.950kg ISBN: 9781032527031ISBN 10: 103252703 Pages: 416 Publication Date: 03 June 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: In Print  Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of Contents1. Smart Power Management in Data Centers using Machine Learning Techniques Ashoka D V, Rekha P M, and Sudha P. R 2. Exploring the Power of Deep Learning and Big Data in Flood Forecasting: State-of-the-Art Techniques and Insights Selva Jeba G and Chitra P 3. Storage Management Techniques for Medical Internet of Things (MIoT) S U Muthunagai, M S Girija, B Praveen Kumar, and R Anitha 4. A Study on Trending Technologies for IoT Use Cases Aspires to Build Sustainable Smart Cities Mangayarkarasi Ramaiah, R. Mohemmed Yousuf, R. Vishnukumar, and Adla Padma 5. Hydro-Meteorological Disasters Prediction Using Deep Learning Techniques Kaviya P and Chitra P 6. Assessment of ICT for Sustainable Developments with Reference to Fog and Cloud Computing Shilpa H.K, Girija D.K., Rashmi M, and Yogeesh N 7. XAI for Computational Sustainability-Concepts, Opportunities, Challenges, and Future Directions B. Prabadevi, M. Pradeepa, and S. Kumaraperumal 8. Edge Computing Based Intrusion Detection Systems: A Review of Applications, Challenges, and Opportunities Posham Uppamma and Sweta Bhattacharya 9. Recent Progress in IoT security-based Challenges: A Brief Review Suranjeet Chowdhury Avik, Abdullahi Chowdhury, Ranesh Naha, Shahriar Kaisar, Arunkumar Arulappan, and Aniket Mahanti 10. An Approach to Smart Targeted Advertising Using a Deep Convolution Neural Network Gayathri A, Ruby D, Manikandan N, and T Gopalakrishnan 11. Text Classification of Customer and Salesperson Conversations to Predict Sales Using Ensemble Models T. Chellatamilan and Neel Rakesh Choksi 12. Sentimental Analysis on Amazon Book Reviews: A Deep Learning Approach Vijayalakshmi A, Koesha Sinha , Debopriya Bose 13. A Deep LSTM Recurrent Learning Approach for Sentiment Analysis of Movie Reviews Khanaghavalle G R, Rajalakshmi V , R Jayabhaduri, A Kala, and P Sharon Femi 14. Cognitive Intelligent Personal Learning Assistants for Enriching Personalised Learning D. Ramalingam, Mahalakshmi Dharmalingam 15. Natural Language Processing for Fake News Detection using Hybrid Deep Learning Techniques B. Valarmathi, Aditya Kocherlakota, Yuvraj Das, Aritam, N.Srinivasa Gupta, and V. Mohanraj 16. A Comparative Analysis of Deep Learning Models for Fake News Detection and Popularity Prediction of Articles Jayanthi Devaraj 17. An Internet of Things (IoT) based Smart Maternity Healthcare Services Vinothiyalakshmi P, Pallavi V, Rajganesh N, and Adityavignesh V 18. Internet of Things (IoT) based Smart Maternity Healthcare Services Vinothiyalakshmi P, Pallavi V, Rajganesh N, and Adityavignesh V 19. Medical Image Analysis with Vision Transformers for Downstream Tasks and Clinical Report Generation Evans Kotei,, and Ramkumar Thirunavukarasu 20. Ensemble Embedding and Convolutional Neural Network based Big Data Framework for Structure Prediction of Proteins Leo Dencelin Xavier, Ramkumar Thirunavukarasu, Rajganesh Nagarajan, and Mohamed Uvaze Ahamed Ayoobkhan 21. Deep Learning based Automated Diagnosis and Prescription of Plant Diseases R. K. Kapila Vani, P. Geetha, D. Abhishek, K. Gokul Krishna, and V. Akaash 22. Intelligent Farming through Weather Forecasting Using Deep Learning Techniques for Enhancing Crop Productivity Ezhilarasi V, Selvamuthukumaran S, and Srinivasan N 23. Plant Disease Detection and Classification using Deep Learning Approach for Image-based Data Tamil Priya. D and Vijayarani. A 24. Deep Learning based Object Detection in Real Time Video T Sukumar 25. Prediction of Covid Stages Using Data Analysis and Machine Learning Rajalakshmi Gurusamy, Siva Ranjani S, and Susan Shiny G 26. A Statistical Analysis of Suitable Drug for Major Drug Resistance Mutations in HIV–1 Group M Durga Shree N, Steve Mathew D A, Ramkumar Thirunavukarasu, and Arun Pandian JReviewsAuthor InformationDr. 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. Tab Content 6Author Website:Countries AvailableAll regions |
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