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Innovations in Computer Science and Engineering: Proceedings of the Ninth ICICSE, 2021 de H. S. Saini

Innovations in Computer Science and Engineering: Proceedings of the Ninth ICICSE, 2021: Lecture Notes in Networks and Systems, cartea 385

Editat de H. S. Saini, Rishi Sayal, A. Govardhan, Rajkumar Buyya
en Limba Engleză Paperback – 29 mar 2022
This book features a collection of high-quality, peer-reviewed research papers presented at the 9th International Conference on Innovations in Computer Science & Engineering (ICICSE 2021), held at Guru Nanak Institutions, Hyderabad, India, on September 3–4, 2021. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks.
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Specificații

ISBN-13: 9789811689864
ISBN-10: 9811689865
Pagini: 712
Ilustrații: XXVIII, 712 p. 363 illus., 238 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.23 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

Notă biografică

Dr. H. S. Saini, Managing Director of Guru Nanak Institutions, obtained his Ph.D. in the field of Computer Science. He has over 31 years of experience at university/college level in teaching UG/PG students and has guided several B.Tech. and M.Tech. projects and 6 Ph.D. scholars. He has published/presented above 95 high-quality research papers in international and national journals and proceedings of international conferences. He has published eight books with Springer. He is a lover of innovation and is Advisor for NBA/NAAC accreditation process to many institutions in India and abroad. He is Chief Editor of many innovative journals and chairing various international conferences.

Dr. Rishi Sayal, Associate Director, Guru Nanak Institute of Technical Campus (Autonomous), has completed his B.E. (CSE), M.Tech. (IT), and Ph.D. (CSE). He has obtained his Ph.D. in Computer Science and Engineering in the field of data mining from prestigious Mysore University of Karnataka State. He has over 29 years of experience in training, consultancy, teaching, and placements. His current areas of research interest include data mining, network security, and databases. He has published eight books with Springer. He has published wide number of research papers in international conferences and journals. He has guided many UG and PG research projects, and he is Recipient of many research grants from government funding agencies. He is Co-editor of various innovative journals and convened lot of international and national conferences.

Dr. A. Govardhan is presently Professor of Computer Science and Engineering, Rector, JNTUH, and Executive Council Member, Jawaharlal Nehru Technological University (JNTUH), Hyderabad (JNTUH), India. He did his Ph.D. from JNTUH. He has 26 years of teaching and research experience. He is Member on Advisory Boards and Academic Boards and Technical Program Committee Member for more than 90 international and national conferences. He is Member on Boards of Governors and Academic Councils for number of colleges. He has 3 monographs and 15 chapters in Springer, Germany. He has guided 89 Ph.D. theses, 3 M.Phil., and 140 M.Tech. projects. He has published 565 research papers at international/national journals/conferences including IEEE, ACM, Springer, Elsevier, and Inderscience. He has delivered more than 120 keynote speeches and invited lectures. He has chaired 28 sessions at the international/national conferences in India and abroad. He has the research projects (completed/ongoing) worth of Rs. 1.159 Crores.

Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as Founding CEO of Manjrasoft Pvt. Ltd., a spin-off company of the university, commercializing its innovations in cloud computing. He served as Future Fellow of the Australian Research Council during 2012–2016. He received his Ph.D. from Monash University, Melbourne, Australia, in 2002. Dr. Buyya has authored/co-authored over 630 publications. He has co-authored five textbooks and edited proceedings of over 30 international conferences. He is one of the highly cited authors in computer science and software engineering (h-index = 134, g-index = 298, and 95,300+ citations). He has edited proceedings of over 30 international conferences published by prestigious organizations, namely the IEEE Computer Society Press and Springer Verlag.

Textul de pe ultima copertă

This book features a collection of high-quality, peer-reviewed research papers presented at the 9th International Conference on Innovations in Computer Science & Engineering (ICICSE 2021), held at Guru Nanak Institutions, Hyderabad, India, on September 3–4, 2021. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks.

Caracteristici

Presents recent innovative research in the field of computational and artificial intelligence Discusses the outcomes of ICICSE 2021, held in Hyderabad, India Serves as a reference resource for researchers and practitioners in academia and industry

Cuprins

A Stochastic Weighted Model for Task Scheduling and Resource Utilization in the Cloud.- A Study on Accident Detection systems using Machine Learning.- A Systematic Analysis of the Computational Intelligence Techniques for Fake News Detection.- A Non Conventional Pre-Processing Method for Financial Risk Analysis Data.- An energy-efficient deep neural network model for photometric redshift estimation.- A Contemporary Analysis of Privacy Preserving Strategies in MANET.- An Advanced Approach to Detect Plant Diseases by the Use of CNN based Image Processing.- A Gravitational Search Algorithm Study on Text Summarization using NLP.- A Deep Learning Model for Arabic Fake News Detection Based on Transformers.- A Novel Optimization Algorithm for Heart Attack Prognostic Process.- A Certain Investigation of MEMS for Optimized Sensor Coverage.- Cervical Cancer Prediction Using Optimized Meta Learning.- Classification of Cervical Cells Using Deep Learning Feature Extraction.- Avian Influenza Prediction Using Machine Learning.- An Investigation on the Detection of Intrusions into a Network Using Convolutional Neural Networks.- Analyzing Data Streams with Different Flavors of Distributed Data Mining.- Analyze Dark Web and Security Threats.- Analysis of Metaheuristic Algorithms for Optimized Extreme Learning Machines in Various Sectors.- Cryptocurrency Trading Bot with Sentimental Analysis and Backtracking using predictive ML.- Artificial Intelligence Based Data Analytics Techniques in Medical Imaging.- Hate speech and offensive language detection in Twitter data using machine learning classifiers.- Machine Learning and Recommendation System in Agriculture: A survey and possible extensions.- Initial intrusion detection in Advanced Persistent Threats (APT’s)using Machine Learning.- Equipment Planning for an Automated Production Line Using a Cloud System.