TARU PUBLICATIONS
Author

Vimal Bibhu

Department of Computer Science & Engineering Noida International University, Greater Noida, Uttar Pradesh, 203201, India

Published papers
8
Citations
0
Views
966
Downloads
78

Publications

8 papers
Open Access Research Article·pp. 1643–1650·Vol. 47, Issue 5-AMay 2026

Assessing the impact of investment levels on power system security enhancements and substation automation upgrades

Dharmesh Dhabliya, Vimal Bibhu, Ponmurugan Panneerselvam, Naveen Jain, Avinash M. Pawar

Published Online: 01 May 2026DOI: 10.47974/JIOS-2254

In this paper: This research looks at how different levels of spending affect the safety of the power system and the automation of substations.  Power networks are facing more and more cyber and physical dangers, su...

AbstractReferencesFull Text PDF (476 KB)Views: 49Downloads: 5Citations: 0
Open Access Research Article·pp. 1833–1841·Vol. 47, Issue 5-AMay 2026

Optimization of data integrity and security in distributed databases using blockchain technology

Pawan Arunkumar Upadhye, Dipannita Mondal, Suma Sidramappa Hosamani, V. Shanthi, Vimal Bibhu

Published Online: 01 May 2026DOI: 10.47974/JIOS-2275

In this paper: Distributed databases are still very hard to keep safe because of the chance of hacking, unauthorized access, and data being different on different computers. Blockchain technology looks like a good i...

AbstractReferencesFull Text PDF (472 KB)Views: 55Downloads: 7Citations: 0
Open Access Research Article·pp. 575–585·Vol. 29, Issue 3Mar 2026

Improving machine learning algorithms using methodological stochastic differential equations

Isha Saluja, Srijita Bhattacharjee, Vimal Bibhu, S. Mohan Mahalakshmi Naidu, Vanita S. Buradkar, Samariddin Makhmudov

Published Online: 18 Mar 2026DOI: 10.47974/JIM-2492

In this paper: The study examines the application of scientific stochastic differential equations (SDEs) to machine learning techniques to make them more robust and predictive. This is an approach that enhances gene...

AbstractReferencesFull Text PDF (603 KB)Views: 103Downloads: 10Citations: 0
Open Access Research Article·pp. 629–636·Vol. 29, Issue 2-AFeb 2026

Advancing homomorphic encryption techniques for ensuring privacy in cloud-based analytics

Swati V. Khidse, Davinder Kaur Sohi, Vimal Bibhu, Vikas Nandgaonkar, Atul Singla, Suman Kumar Swarnkar

Published Online: 04 Feb 2026DOI: 10.47974/JDMSC-2505

In this paper: Vulnerabilities in modern cloud analytics have become more pronounced with the rapid adoption of cloud-based analytics in high impact and sensitive domains like healthcare, finance and IoT; the demand...

AbstractReferencesFull Text PDF (328 KB)Views: 102Downloads: 12Citations: 0
Open Access Research Article·pp. 243–251·Vol. 29, Issue 1Jan 2026

Development of combinatorial algorithms based on the χ(G) chromatic number for graph coloring issues

Mayur Jakhete, Vimal Bibhu, Armaan Shaikh, Rupali Deshpande, V. Mounika, J. Mounika

Published Online: 15 Jan 2026DOI: 10.47974/JDMSC-2480

In this paper: Graph colouring is a combinatorial optimisation problem that colours each vertex such that no two close vertices have the same colour while using the fewest hues feasible. The chromatic number (χ(G))...

AbstractReferencesFull Text PDF (343 KB)Views: 196Downloads: 6Citations: 0
Open Access Research Article·pp. 523–532·Vol. 29, Issue 2-AFeb 2026

Exploring n-Queens problem solutions through advanced combinatorial and discrete mathematical techniques

Natasha Martin, Vimal Bibhu, Vikas Kolekar, E. R. Aruna, P. Veeresh Kumar, Vaibhav Mittal

Published Online: 31 Dec 2025DOI: 10.47974/JDMSC-2492

In this paper: The n-Queens problem involves positioning n chess queens on an n×n board without any of them threatening one other. Typical combinatorial issue in computer math. This topic has been studied in graph t...

AbstractReferencesFull Text PDF (520 KB)Views: 75Downloads: 19Citations: 0
Open Access Research Article·pp. 2131–2139·Vol. 28, Issue 6Sep 2025

Nonlinear PDE models for deep learning architecture stability analysis

Cuddapah Anitha, Vimal Bibhu, Pratik Ghutke, Priti C. Shende, Sachin Harne, G. Sasikala

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2354

In this paper: Stability, robustness, and convergence are problems that deep learning systems often have to deal with when training dynamics aren’t linear and there are hostile changes. Nonlinear partial differentia...

AbstractReferencesFull Text PDF (516 KB)Views: 160Downloads: 8Citations: 0
Open Access Research Article·pp. 2247–2253·Vol. 28, Issue 6Sep 2025

Differential geometry approaches to curvature and shape analysis

Bipin Sule, Vimal Bibhu, Satyendra Kumar, Shivanshu Katoch, Dinesh Kumar, Lalita Kiran Wani

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2366

In this paper: Curvature provides a quantitative measure of how a geometric object bends in space. Differential geometry offers a rigorous framework for defining and computing curvature on curves, surfaces and manif...

AbstractReferencesFull Text PDF (414 KB)Views: 226Downloads: 11Citations: 0