Data, Engineering and Applications

Select Proceedings of IDEA 2021
1. Auflage 2022
ISBN: 978-981-19-4689-9
Verlag: Springer

Buch, Englisch, Band 907, 705 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1196 g

Reihe: Lecture Notes in Electrical Engineering

The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.

Zielgruppe

Research

Autoren/Hrsg.

Sharma, Sanjeev

Peng, Sheng-Lung

Agrawal, Jitendra

Shukla, Rajesh K.

Le, Dac-Nhuong

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

1. Medical Assistance Chatbot using Deep Learning.- 2. Distortion Controlled Secure Reversible Data Hiding in H.264 videos.- 3. A Method for improving Efficiency and Security of FANET using Chaotic Black Hole Optimization based Routing (BHOR) Technique.- 4. Machine Learning Techniques for Intrusion Detection System: A Survey.- 5. Software Fault Detection by using Rider Optimization Algorithm (ROA) based Deep Neural Network (DNN).- 6. An Approach for Predicting Admissions in Post Graduate Program by using Machine Learning.- 7. A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection.- 8. A brief study of time series forecasting technique using linear regression, SVM, LSTM, ARIMA and SARIMA.- 9. Adoption of Blockchain Technology for Storage & Verification of Educational Documents.- 10. Obstacle Collision Prediction model for Path Planning Using Obstacle Trajectory Clustering.

Über Autor(innen)

Sanjeev Sharma is a Professor and Director of the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. Dr. Sharma has over 29 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 over 150 research papers. He is a Member of IEEE, CSI, ISTE, and IAENG.

Sheng-Lung Peng is a Professor at the Department of CS and Information Engineering, National Dong Hwa University, Taiwan. He did his education in Doctor of Information Engineering from National Tsinghua University. His research interests are designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks areas in which he has published over 100 research papers.

Rajesh K Shukla is a Director of Oriental Institute of Science and Technology, Bhopal, India. With over 23 years of teaching and research experience, he has authored/edited 12 books and has published more than 45 papers in international journals and conferences. He was the chair of the CSI Bhopal Chapter and Treasurer of IETE Bhopal. He is the founder chair of the ACM Bhopal Chapter. He is the recipient of several awards such as the ISTE-UP Govt National award 2015, Best Chapter Patron Award and Significant contribution CSI service award from Computer Society of India, Certificate of Exceptional Contribution in Smart India Hackathon 2017 from AICTE. He is a Fellow of IETE, a life member of CSI, ISTE, IETE, IE(India), ISCA, senior member of IEEE and ACM.

Jitendra Agrawal is an Associate Professor and Dean- Student Welfare in the School of Information Technology at the Rajiv Gandhi Proudyogiki Vishwavidyalaya, MP, India. He is a Teacher, Researcher, and Consultant inthe field of Computer Science and Information Technology. He has 23 years of teaching and 18 years of research experience with a good number of citations with h-index and i-index. His research interests include Database, Data Structure, Data Mining, Soft Computing, and Computational Intelligence. He has published more than 70 publications in International Journals and Conferences, 04 patents filed, 12 chapters, and five books. He is a senior member of the IEEE (USA), a life member of the Computer Society of India (CSI), a life member of the Indian Society of Technical Education (ISTE), member of the Youth Hostel Association of India (YHAI) and IAENG. He has been associated with the International Program Committees and Organizing Committees of several regular international conferences held in different countries like the USA, India, New Zealand, Korea, Indonesia, Tunisia, Thailand, Morocco, etc. 

Dac-Nhuong Le received M.Sc. and Ph.D. degrees in computerscience from Vietnam National University, Vietnam, in 2009 and 2015, respectively. He is an Associate Professor in the Department of Computer Science, Dean of Faculty of Information Technology, Haiphong University, Vietnam. He has over 20 years of teaching experience with over 80 publications in reputed international conferences and journals. His research areas are intelligent computing, multi-objective optimization, network security, cloud computing, virtual reality/argument reality. Presently, he is serving on the editorial board of international journals and edited/authored 20+ computer science books published by International publishers.