TARU PUBLICATIONS
Author

R. Raja Kumar

Department of Computer Science and Engineering, Neerawada, X Roads, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, Andhra Pradesh, 518501, India

Published papers
4
Citations
1
Views
1,393
Downloads
467

Publications

4 papers
Open Access Research Article·pp. 2031–2042·Vol. 47, Issue 5-BMay 2026

Optimized text generation using Markov models

J. J. C. Prasad Yadav, R. Raja Kumar

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2294

In this paper: Many resource-poor and morphologically rich Indian languages struggle to benefit from recent advancements in feature representations in Natural Language Processing (NLP) because of lack of massive, an...

AbstractReferencesFull Text PDF (487 KB)Views: 79Downloads: 87Citations: 0
Open Access Research Article·pp. 2561–2571·Vol. 28, Issue 6Sep 2025

Exploring diverse network threats on cyber-physical systems

K. Rajendra Prasad, R. Raja Kumar, Sajja Suneel, Rajasekhar Nuvvusetty, Durgam Nishitha

Published Online: 09 Jul 2025DOI: 10.47974/JDMSC-2340

In this paper: Many essential infrastructures are built on Cyber-Physical Systems (CPS), which are complex systems that combine physical operations and computational components. Sensors, actuators, and control mecha...

AbstractReferencesFull Text PDF (503 KB)Views: 354Downloads: 88Citations: 0
Open Access Research Article·pp. 497–508·Vol. 46, Issue 2Mar 2025

Assessing autopsy in digital forensics : Comprehensive functionality review and comparative study

R. Raja Kumar, K. S. R. K. Sarma, D. Mahammad Rafi, CH. N. Santhosh Kumar, S. Rajeswari, Muniyandy Elangovan, Sameera Bethapudi

Published Online: 17 Mar 2025DOI: 10.47974/JIOS-1930

In this paper: The role of digital forensics [1] tools such as Autopsy has become increasingly critical in managing and analyzing forensic data. This paper presents a comprehensive evaluation of Autopsy, focusing on...

AbstractReferencesFull Text PDF (416 KB)Views: 712Downloads: 208Citations: 1
Open Access Research Article·pp. 521–530·Vol. 46, Issue 2Mar 2025

Advancing financial security : A hybrid fusion of neural network and rule-based system for credit card fraud detection

A. Krishna Chaitanya, S. Satheesh, R. Raja Kumar, A. Rajyalakshmi, K. Lakshmi Abhigyna, E. Surya Teja, T. Nikhil

Published Online: 17 Mar 2025DOI: 10.47974/JIOS-1932

In this paper: Credit card fraud presents a serious threat to financial institutions, causing substantial financial and reputational damage. To address this, the proposed method combines a neural network with a rule...

AbstractReferencesFull Text PDF (478 KB)Views: 248Downloads: 84Citations: 0