Data Engineering and Applications

Proceedings of the International Conference, IDEA 2K22, Volume 1
2024
ISBN: 978-981-97-0036-3
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1146, 626 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1225 g

Reihe: Lecture Notes in Electrical Engineering

This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

Zielgruppe

Research

Autoren/Hrsg.

Agrawal, Jitendra

Shieh, Chin-Shiuh

Shukla, Rajesh K.

Sharma, Sanjeev

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

Review of Methods for Handling Class-Imbalanced in Classification Problems.- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students.- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem.- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics.- An Efficient Hybrid Model to Summarize the Text using Transfer Learning.- Automatic Detection of Learner's Learning Style.- Construction of an Intelligent Knowledge based System using Transformer Model.- Machine Learning-Based Disease Diagnosis using Body Signals: A Review.- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms.- Sign Language Detection Through PCANet and SVM.- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method.- Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning.- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm.- Plant Disease Detection using Machine Learning Approaches: A Review.- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery.- A Machine Learning based Approach to Combat Hate Speech on Social Media.- Prediction of SARS – COVID – 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images.- Online Document Identification and Verification using Machine Learning Model.

Über Autor(innen)

Dr. Jitendra Agrawal is a director of the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He is also a program chair of IDEA2k22. His research interests include data mining and computational intelligence. He has authored 02 books and published more than 70 papers in international journals and conferences. Dr. Agrawal is a senior member of IEEE, a life member of CSI, ISTE, and a member of IAENG. He has served as part of the program committees for several international conferences organized in countries such as the USA, India, New Zealand, Korea, Indonesia, and Thailand. Dr. Rajesh K Shukla is a director of the Oriental Institute of Science and Technology Bhopal, India. He is also a program chair of IDEA2k22. With more than 23 years of teaching and research experience, he has authored and edited 10 books, published/presented more than 45 papers in international journals/conferences, and 6 patents are published/granted. Dr. Shukla received an ISTE U.P. Government National Award in 2015 and various prestigious awards from the Computer Society of India. His research interests include recommendation systems and machine learning. He is a fellow of IETE, a senior member of IEEE and ACM, a life member of ISTE, ISCA, and a member of IE(I). Dr. Sanjeev Sharma is a professor in School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He is also a general chair of IDEA2k22. He has over 33 years of teaching and research experience and received the World Education Congress Best Teacher Award in Information Technology. His research interests include mobile computing, ad hoc networks, image processing, and information security. He has edited proceedings of several national and international conferences and published more than 160 research papers in reputed journals. He is a member of IEEE, CSI, ISTE, and IAENG. Dr. Chin-Shiuh Shieh is the associate professor at the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan. He is also a general chair of IDEA2k22. His research interests include Computer Networking, Wireless Communication, Information Security, Computational Intelligence, Embedded Systems, and Medical Informatics. He has edited proceedings of several international conferences and published more than 320 research publications including papers in reputed journals and conferences and book chapters. He has been the director of the Academic Division of Signal Processing Society, IEEE Tainan Chapter, and the vice chair of Signal Processing Society, IEEE Tainan Chapter. He has been the guest editor, a reviewer board member, and reviewer for various international journals and conferences. He is a member of IEEE.