Proceedings of International Conference on Recent Trends in Computing

ICRTC 2024, Volume 1
2024
ISBN: 978-981-97-8945-0
Verlag: Springer Nature Singapore

Buch, Englisch, 441 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 782 g

Reihe: Lecture Notes in Networks and Systems

This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2024) organized by SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during July 5–6, 2024. The book is divided into two volumes and discusses a wide variety of industrial, engineering, and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data, and the Internet of Things.

Zielgruppe

Research

Autoren/Hrsg.

Mahapatra, Rajendra Prasad

Parwekar, Pritee

Roy, Sudip

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

1. Trailblazing Strategy Implementing IoT Powered Machine Learning to Identify Harmful Potatoes.- 2. Safe Spaces Analysis for Mental Health.- 3. Identifying and Managing Concept Drift in Machine Learning through Page Hinkley Test Approaches, Obstacles, and Resolutions.- 4. A Cost Effective Single Stage Recursive Adaptive Filter Setup for Reducing Noise in Phonocardiogram Signals.- 5. Analyzing Gait Angle Variations in Healthy Individuals and Knee Osteoarthritis Patients Utilizing Non-Invasive IMU Sensors.- 6. Enhancing Freight Auditing Efficiency Leveraging Hadoop MapReduce for Logistic Audit Assist.- 7. NDVI Time Series Analysis for Vegetation Monitoring Using Liss III Data.- 8. Ransome ware detection using Machine learning and Deep learning models.

Über Autor(innen)

Prof. Rajendra Prasad Mahapatra is the Professor  & Dean– SRM institute of Science and Technology, Delhi-NCR Campus, Ghaziabad. He is a pioneer in the field of computer science and engineering. He has vast experience of 23 years as an academician, researcher and administrator. During his 23 years of experience, he has worked in India and abroad. He has been associated with Mekelle University, Ethopia for more than two years. Prof. R.P. Mahapatra has authored more than 100 research papers which are published in international journals like Inderscience, Emerald, Elsevier, IEEE and Springer. He has authored ten books, ten book chapters and five granted patents. His 06 students have successfully completed their Ph.D. under his guidance and 8 students are pursuing their Ph.D. He is a fellow member of I.E. (India), senior member of IACSIT, Singapore, life member of ISTE, Senior member of IEEE and many more reputed bodies. He is a recipient of the Institution Award from Institution of Engineers (India), Calcutta, on 56th Annual Technical Session on 15th Feb.2015, Madhusudan Memorial Award from Institution of Engineers (India), Calcutta, on 57th Annual Technical Session on 14th Feb.2016, Certificate of Excellence from SRM University, NCR Campus, on 9th Feb 2015.

Dr. Sudip Roy is an Associate Professor in the Department of Computer Science and Engineering of Indian Institute of Technology (IIT) Roorkee, India, since July 2014. He is also an associated faculty member of the Centre of Excellence in Disaster Mitigation and Management (CoEDMM) in IIT Roorkee, India, since April 2015. He is a JSPS fellow (long-term) in the college of information science and engineering, Ritsumeikan University, Japan, during April 2021 to January 2022. He has authored one book, one book chapter, two granted US patents including 25 research articles in international peer-reviewed journals and 40 papers in international peer-reviewed conference proceedings. His current research interests include computer-aided design for digital systems, electronic design automation (EDA) for microfluidic lab-on-a-chips, algorithm design, optimization techniques, information and communication technologies (ICT) for disaster risk reduction (DRR). He is a recipient of JSPS Invitational Fellowship Award (Long-Term) from the Japan Society for the Promotion of Science (JSPS), Govt. of Japan in 2021, Early Career Research Award from Department of Science and Technology, Govt. of India in 2017 and Microsoft Research India Ph.D. Fellowship Award in 2010. He is a member of IEEE and ACM.

Dr. Pritee Parwekar is a professor in the Department of Computer Science & Engineering. She has been an academician for the last 23+ years. She holds a life membership of IEEE, ACM, CSI, and ISTE. She has also contributed as Computer Society of India (CSI) State Student Coordinator for two years. Her research interests include Internet of Things, Cloud Computing, Machine Learning, Wireless Sensor Networks, Software Engineering, Information Retrieval Systems, Social Media, and Data Mining. She has published more than 100 research papers in peer-reviewed journals with SCI, SSCI, Scopus Index, and in conferences. She has been a resource person for workshops, FDPs, International Conferences. She has been the program chair and organizing chair of international conferences. She has peer-reviewed IEEE Network Magazine, Springer, IGI Global, Inderscience, Evolutionary Intelligence (EVIN) Journals, Personal and Ubiquitous Computing, Multimedia Tools and Applications, Expert Systems, and many more international journals.