Innovations in Computer Science and Engineering
Proceedings of the Tenth ICICSE, 2022
Published on 4. May 2023
Book
Paperback/Softback
XXIII, 761 pages
978-981-19-7454-0 (ISBN)
Description
This book features a collection of high-quality, peer-reviewed research papers presented at the 10th International Conference on Innovations in Computer Science & Engineering (ICICSE 2022), held at Guru Nanak Institutions, Hyderabad, India, on 16-17 September 2022. 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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
83 s/w Abbildungen, 273 farbige Abbildungen
XXIII, 761 p. 356 illus., 273 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 40 mm
Weight
1314 gr
ISBN-13
978-981-19-7454-0 (9789811974540)
DOI
10.1007/978-981-19-7455-7
Schweitzer Classification
Other editions
Additional editions
H. S. Saini | Rishi Sayal | A. Govardhan
Innovations in Computer Science and Engineering
Proceedings of the Tenth ICICSE, 2022
E-Book
05/2023
1st Edition
Springer
€234.33
Available for download
Persons
Dr. H. S. Saini, Managing Director of Guru Nanak Institutions, obtained his Ph.D. in the field of Computer Science. He has over 32 years of experience at University/College level in teaching UG/PG students and has guided several B. Tech. and M. Tech. projects and 7 Ph. D. scholars. He has published/presented above 105 high-quality research papers in International and National journals and proceedings of International conferences. He has published nine 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 30 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 nine books with Springer. He has published wide number of research papers in International conferences & 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 & Engineering, Rector, JNTUH, and Executive Council Member, Jawaharlal Nehru Technological University (JNTUH), Hyderabad (JNTUH), India. He did his Ph.D. from JNTUH. He has 27 years of teaching and research experience. He is Member on Advisory Boards & Academic Boards and Technical Program Committee Member for more than 100 International and National conferences. He is Member on Boards of Governors and Academic Councils for number of colleges. He has four monographs and 20 chapters in Springer, Germany. He has guided 89 Ph.D. theses, 3 M. Phil., and 150 M. Tech. projects. He has published 575 research papers at International/National journals/conferences including IEEE, ACM, Springer, Elsevier, and Inderscience. He has delivered more than 130 keynote speeches and invited lectures. He has chaired 31 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 640 publications. He has co-authored five textbooks and edited proceedings of over 40 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 35 International conferences published by prestigious organizations, namely the IEEE Computer Society Press and Springer Verlag.Content
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.