TARU PUBLICATIONS
Author

P. Ramesh Naidu

Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology  Nitte (Deemed to be University), Bangalore, Karnataka, 560064, India

Published papers
3
Citations
0
Views
360
Downloads
37

Publications

3 papers
Open Access Research Article·pp. 2281–2291·Vol. 47, Issue 6Jun 2026

Mathematical computing techniques for enhancing image processing in complex systems

V. Dankan Gowda, B. C. Kavitha, Madan Mohanrao Jagtap, P. Ramesh Naidu, K.D.V. Prasad, Sampathirao Suneetha

Published Online: 01 Jun 2026DOI: 10.47974/JIOS-2122

In this paper: This paper explores mathematical computing methods of enhancing image processing in complicated systems through noise robustness, outline sharpness and processing speed. Conventional techniques have a...

AbstractReferencesFull Text PDF (805 KB)Views: 52Downloads: 12Citations: 0
Open Access Research Article·pp. 465–477·Vol. 27, Issue 2Mar 2024

Mathematical enhancement of unsupervised machine learning algorithms for optimal lifeline donor knowledge extraction

P. Ramesh Naidu, Pratik Gite, Vaskar Deka, K.D.V. Prasad, V. Dankan Gowda, Mirzanur Rahman

Published Online: 30 Mar 2024DOI: 10.47974/JSMS-1282

In this paper: Lifeline Donor groups are crucial in the field of humanitarian aid because they provide lifesaving aid in times of crisis. For effective resource management and aid coordination, it is crucial to draw...

AbstractReferencesFull Text PDF (452 KB)Views: 116Downloads: 13Citations: 0
Open Access Research Article·pp. 355–367·Vol. 44, Issue 3Apr 2023

Development of object identification model with deep reinforcement learning algorithm

P. Ramesh Naidu, Avinash Sharma, Supriya P. Diwan, V. Dankan Gowda, Parth M. Pandya, Anand Kumar Gupta

Published Online: 01 Apr 2023DOI: 10.47974/JIOS-1346

In this paper: This research work presents an object identification method based on the machine learning technique based on human vision system. The objective is to prevent processing a complete image in sort to loc...

AbstractReferencesFull Text PDF (930 KB)Views: 192Downloads: 12Citations: 0