TARU PUBLICATIONS
Journal of Interdisciplinary Mathematics cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

Monthly Journal: Publishes the methodological and theoretical role of mathematics and mathematical applications underpinning scientific research.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Special Issue

Statistical & Mathematical Modelling for AI-Driven Intelligent Systems in IoT and its Computation Challenges

Volume 28, Issue 6·September 2025·34 articles

Articles

Open Access Research Article·pp. i–viii·Vol. 28, Issue 6Sep 2025

Special Issue on Statistical & Mathematical Modelling for AI-Driven Intelligent Systems in IoT and its Computation Challenges

B. B. Gupta, Dinesh Goyal, Anil Kumar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-28-6-Foreword

In this paper: This special issue titled “Statistical & Mathematical Modelling for AI-Driven Intelligent Systems in IoT and its Computation Challenges,” highlights quality research that intersects artificial intelli...

AbstractFull Text PDF (118 KB)Views: 154Downloads: 115Citations: 0
Open Access Research Article·pp. 2059–2069·Vol. 28, Issue 6Sep 2025

Manifold learning and differential geometry for disease detection and risk prediction

Ashish Kumar, Komal Mehta Bhagat, Pankaj Dadheech, Sanwta Ram Dogiwal, Rakesh Sharma

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2347

In this paper: Healthcare datasets pose unique challenges: they are large, varied, and often contain hidden structure that standard analysis methods struggle to reveal. In this work, we propose a practical approach...

AbstractReferencesFull Text PDF (312 KB)Views: 284Downloads: 145Citations: 0
Open Access Research Article·pp. 2071–2078·Vol. 28, Issue 6Sep 2025

A structured mathematical approach to improving gastrointestinal disease classification with transfer learning

Rakesh Sharma, C. S. Lamba

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2348

In this paper: The integration of AI into medical diagnostics has transformed the detection of gastrointestinal diseases. In this study, we develop a clear mathematical framework for classifying multiple GI conditio...

AbstractReferencesFull Text PDF (156 KB)Views: 192Downloads: 127Citations: 0
Open Access Research Article·pp. 2079–2088·Vol. 28, Issue 6Sep 2025

Applications of partial differential equations and Green’s functions in climate change modeling

Rupali Gangarde, Anitha Julian, Murali Dhar M. S., Gerardine Immaculate Mary, Mayur Rele, Muthukumaran Vaithianathan

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2349

In this paper: Because climate change is getting worse, we need more complex scientific tools to make correct predictions and studies. Partial Differential Equations (PDEs) and green’s capabilities are very critical...

AbstractReferencesFull Text PDF (498 KB)Views: 345Downloads: 144Citations: 0
Open Access Research Article·pp. 2089–2097·Vol. 28, Issue 6Sep 2025

Mathematical models for cognitive systems using differential geometry and reinforcement learning

Amol Bapuso Rajmane, Shubhangi Babasaheb Patil, Vaishnaw G. Kale, Sagar Vasantrao Joshi, Deepak Balaso Patil, Trupti Narayan Pawase

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2350

In this paper: This work presents a novel creative approach to describe cognitive systems by combining differential geometry with reinforcement learning. We propose a mathematical approach primarily based on geometr...

AbstractReferencesFull Text PDF (481 KB)Views: 306Downloads: 134Citations: 1
Open Access Research Article·pp. 2099–2108·Vol. 28, Issue 6Sep 2025

Nonlinear dynamics and chaos theory in engineering with applications in control systems and signal analysis

Anil Kumar C., C. K. Narayanappa, Bhargavi S., Harish S., Rekha Krishna, Varalakshmi K R, Ashwini S.

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2351

In this paper: Chaos theory and nonlinear dynamics have become very useful for studying and managing complicated industrial systems. Nonlinear systems and chaos concept are becoming more essential in engineering bec...

AbstractReferencesFull Text PDF (444 KB)Views: 361Downloads: 143Citations: 0
Open Access Research Article·pp. 2109–2120·Vol. 28, Issue 6Sep 2025

Fourier series analysis and computation based on function characteristics

Warin Sripanya, Wannarut Rungrottheera, Pacharapol Hyunsin

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2352

In this paper: This paper aims to study the Fourier series of a function defined on the interval [–l/2, 0] under various conditions. Furthermore, when a function is given on [a, b], its Fourier series is obtained by...

AbstractReferencesFull Text PDF (225 KB)Views: 160Downloads: 121Citations: 0
Open Access Research Article·pp. 2121–2130·Vol. 28, Issue 6Sep 2025

Eulerian integrals of I-function

V. Sri Lakshmi, N. Srimannarayana, M. V. Chakradhara Rao, Fredric Ayant, D. K. Pavan Kumar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2353

In this paper: A set of Eulerian integrals associated with I-function (modified) has been established in this paper.  Furthermore, we will conclude with an examination of several specific instances of these integral...

AbstractReferencesFull Text PDF (177 KB)Views: 189Downloads: 131Citations: 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: 318Downloads: 127Citations: 0
Open Access Research Article·pp. 2141–2149·Vol. 28, Issue 6Sep 2025

Computational fluid dynamics using finite element methods for turbomachinery

Vikramsinha V. Mane, Sunil Deshpande, Vinay Kumar Gadpayle, Gaurav Nagdeve, Ashwin Ghaysundar, A. Sandeep Kumar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2355

In this paper: Using the Finite Element Method (FEM) for computational fluid dynamics (CFD) is a good way to look at complicated turbo machinery flows that have spinning, turbulence, and compressibility. This examin...

AbstractReferencesFull Text PDF (623 KB)Views: 246Downloads: 134Citations: 0
Open Access Research Article·pp. 2151–2159·Vol. 28, Issue 6Sep 2025

Mathematical analysis of orbital mechanics with perturbation methods

M. Aniji, Budigi Prabhakar, Anjali Nair, Prashant Anerao, R. G. Biradar, M. Purnachandra Rao

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2356

In this paper: Orbital mechanics with perturbation methods gives us a way to look at departures from the idealized Keplerian motion using math. Changes happen because of gravity, uneven mass distributions, air drag,...

AbstractReferencesFull Text PDF (607 KB)Views: 296Downloads: 147Citations: 0
Open Access Research Article·pp. 2161–2169·Vol. 28, Issue 6Sep 2025

Integral equation methods in acoustic wave propogation for structural health monitoring

Vijaya Vijaykumar Pangave, Shilpy Singh, Shweta Redkar, Sushma Sawadatkar, Rajesh Raikwar, S. Radhakrishnan

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2357

In this paper: Integral equation methods are a useful way to look at how sound waves move in structural health monitoring (SHM). These methods naturally work with endless areas, complex borders, and different types...

AbstractReferencesFull Text PDF (482 KB)Views: 308Downloads: 129Citations: 0
Open Access Research Article·pp. 2171–2179·Vol. 28, Issue 6Sep 2025

Stochastic differential equations in modeling gene regulatory networks

Uma Bhardwaj, Renukhadevi M., Poonam Vishwas Meghare, Gajanan Chavan, Sharyu Ikhar, A. Suneetha

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2358

In this paper: Genetic regulatory networks, or GRNs, are made up of genes, proteins, and regulatory factors that control how cells work.  Most of the time, traditional fixed models cannot explain how gene expression...

AbstractReferencesFull Text PDF (451 KB)Views: 256Downloads: 190Citations: 0
Open Access Research Article·pp. 2181–2188·Vol. 28, Issue 6Sep 2025

Nonlinear partial differential equations in quantum fluid dynamics

Vikramsinha V. Mane, Tanveer Ahmad Wani, Pratik Ghutke, Vanishri Patil, Mahesh Kurulekar, G. Mahesh Reddy

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2359

In this paper: Nonlinear partial differential equations (PDEs) are very important for modeling complicated behaviours in quantum fluid dynamics, which is where quantum physics and traditional hydrodynamics meet. It...

AbstractReferencesFull Text PDF (448 KB)Views: 279Downloads: 150Citations: 0
Open Access Research Article·pp. 2189–2196·Vol. 28, Issue 6Sep 2025

Lie group theory in symmetry reduction of physical systems

Nikhil Shete, Milind Patil, Sunil Thakur, Raman Chadha, Samir N. Ajani, G. Srujana

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2360

In this paper: By using the symmetries that are built into physical systems, Lie group theory is a key tool for understanding and simplifying how they work. Complex differential equations that govern physical rules...

AbstractReferencesFull Text PDF (522 KB)Views: 200Downloads: 151Citations: 0
Open Access Research Article·pp. 2197–2205·Vol. 28, Issue 6Sep 2025

High-order finite difference schemes for hyperbolic conservation laws

Cholaraja Mudimannan, Gauri Patil, Suraj Bhan, Suhas Bhise, Balkrishna K. Patil, J. Mounika

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2361

In this paper: To correctly solve hyperbolic conservation laws, which often have shocks and discontinuities, you need high-order finite difference methods. Numerical spread and instability are problems with traditio...

AbstractReferencesFull Text PDF (618 KB)Views: 367Downloads: 155Citations: 0
Open Access Research Article·pp. 2207–2215·Vol. 28, Issue 6Sep 2025

Iterative Krylov subspace methods for large sparse linear systems

Saurabh Saoji, Budigi Prabhakar, Mikhal John, Kiran Ingle, Vrushali G. Raut, K. Nagendra Prasad

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2362

In this paper: Large sparse linear systems, like those found in scientific computing, engineering models, and optimization problems, can be solved very efficiently using iterative Krylov subspace methods. The Genera...

AbstractReferencesFull Text PDF (489 KB)Views: 240Downloads: 133Citations: 0
Open Access Research Article·pp. 2217–2225·Vol. 28, Issue 6Sep 2025

High-accuracy Runge–Kutta methods for stiff ODE systems

Reshma K. P., Shashikant Prasad, Chetan Kumar Sharma, Abhijeet Deshpande, Sahebrao Bhaurao Bagal, K. Tejaswi

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2363

In this paper: Ordinary differential equations (ODEs) that are stiff come up a lot in science and engineering. They need numerical methods that balance stability, speed, and accuracy. In strict regimes, explicit Run...

AbstractReferencesFull Text PDF (594 KB)Views: 381Downloads: 126Citations: 0
Open Access Research Article·pp. 2227–2235·Vol. 28, Issue 6Sep 2025

Monte Carlo and quasi-Monte Carlo methods for high-dimensional integration

Manjushri Joshi, Puja Gurav, Tanveer Ahmad Wani, Ganesh Korwar, Harish Barapatre, Cherukuri Krishna Veni

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2364

In this paper: Monte Carlo (MC) and Quasi-Monte Carlo (QMC) methods have become important ways to solve complex integration problems in engineering, banking, and science computing.  MC uses random sampling to get be...

AbstractReferencesFull Text PDF (476 KB)Views: 228Downloads: 145Citations: 0
Open Access Research Article·pp. 2237–2245·Vol. 28, Issue 6Sep 2025

Computational harmonic analysis for image compression

Mayuri H. Molawade, Smita Desai, Urmila Kadam, Samana Vinaya Kumar, Seema Vanjire, Shital Kakad

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2365

In this paper: Digital images consist of two‑dimensional arrays of pixel values, and storing such arrays without compression quickly becomes prohibitive. Harmonic analysis offers a mathematical framework for represe...

AbstractReferencesFull Text PDF (419 KB)Views: 290Downloads: 154Citations: 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: 417Downloads: 167Citations: 0
Open Access Research Article·pp. 2255–2261·Vol. 28, Issue 6Sep 2025

Numerical stability analysis of nonlinear differential equations in engineering systems

Sandip Kulkarni, Urmila Kadam, Deepak Kumar Paswan, Kumari Shipra, Bhavana Chandramani Julme, Satyawan L. Dhondge

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2367

In this paper: Nonlinear differential equations describe the dynamic behaviours of many engineering systems, from mechanical oscillators with nonlinear springs to electrical circuits containing diodes. The safe and...

AbstractReferencesFull Text PDF (411 KB)Views: 255Downloads: 150Citations: 0
Open Access Research Article·pp. 2263–2271·Vol. 28, Issue 6Sep 2025

Spectral methods for solving partial differential equations in multiphysics simulations

Kanwar Tushar Punj, Trupti Dhanadhya, Tanveer Ahmad Wani, Satish S. Banait, Raminderpreet Pal Singh, Satyawan L. Dhondge

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2368

In this paper: Spectral methods approximate partial differential equations (PDEs) by expressing the solution as a sum of globally defined basis functions. In multiphysics simulations such as coupled fluid flow and h...

AbstractReferencesFull Text PDF (425 KB)Views: 279Downloads: 146Citations: 0
Open Access Research Article·pp. 2273–2280·Vol. 28, Issue 6Sep 2025

Mathematical modeling of drug delivery systems with diffusion and absorption equations

Vipan Kumar, Uma Bhardwaj, Yamini Sood, Vijaykumar Bhanuse, Vinayak Musale, M. Ramesh Kumar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2369

In this paper: Mathematical modelling plays a fundamental role in designing drug delivery systems, where the goal is to release an active molecule at a controlled rate and in a specific target region. Diffusion and...

AbstractReferencesFull Text PDF (388 KB)Views: 293Downloads: 170Citations: 0
Open Access Research Article·pp. 2281–2287·Vol. 28, Issue 6Sep 2025

Topology and knot theory applications in quantum field theory

Chaitali Deshpande, Chandrashekhar Ramtirthkar, Tanveer Ahmad Wani, Varsha Kiran Bhosale, Monali Gulhane, K. Senthil Kumar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2370

In this paper: Topology and knot theory have profoundly influenced modern quantum field theory by revealing deep connections between gauge fields and topological invariants. Topological quantum field theories (TQFTs...

AbstractReferencesFull Text PDF (392 KB)Views: 476Downloads: 181Citations: 0
Open Access Research Article·pp. 2289–2299·Vol. 28, Issue 6Sep 2025

Mathematical models for noise reduction in IoT image processing applications

V. Dankan Gowda, Pratik Gite, Nethravathi H. M., Prasanna Kumar Lakineni, K.D.V. Prasad, Shyamsunder Chitta

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2371

In this paper: IoT has opened the floodgates the importance use of image processing in areas like surveillance, auto-navigating vehicles, and smart healthcare. Nonetheless, noise in IoT-generated images largely dist...

AbstractReferencesFull Text PDF (591 KB)Views: 293Downloads: 109Citations: 0
Open Access Research Article·pp. 2301–2310·Vol. 28, Issue 6Sep 2025

Inflationary scenario in Bianchi type V bulk viscous cosmological model in Saez Ballester theory

Manish Khowal, Laxmi Poonia, Manali Vijayvargiya, Rakhi Mathur

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2372

In this paper: This study investigates a geometrically uniform yet directionally variant Bianchi type-V inflationary cosmic framework within a tensor-scalar gravitational theory formulated by Saez-Ballester, where t...

AbstractReferencesFull Text PDF (745 KB)Views: 184Downloads: 123Citations: 0
Open Access Research Article·pp. 2311–2318·Vol. 28, Issue 6Sep 2025

Inflationary scenario in Bianchi type VIII space time with bulk viscosity using flat potential in general relativity

Rakhi Mathur, Laxmi Poonia, Varsha Maheshwari, Manish Khowal

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2373

In this paper: This paper has been written to study an anisotropic Bianchi Type VIII cosmological model which incorporates a Higgs scalar field with a flat effective potential and a bulk viscous fluid. The model is...

AbstractReferencesFull Text PDF (511 KB)Views: 200Downloads: 136Citations: 0
Open Access Research Article·pp. 2319–2329·Vol. 28, Issue 6Sep 2025

Bianchi type-VI0 string cosmological model in Saez Ballester theory with variable Λ

Manali Vijayvargiya, Laxmi Poonia, Manish Khowal, Varsha Maheshwari

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2374

In this paper: This work is the result of examining Bianchi VI_0 string cosmology model, including the Saez-Ballester theory (SBT) of gravity & varying cosmological constant. Energy-momentum tensor developed by Lete...

AbstractReferencesFull Text PDF (683 KB)Views: 173Downloads: 128Citations: 0
Open Access Research Article·pp. 2331–2338·Vol. 28, Issue 6Sep 2025

LRS Bianchi type II stiff fluid inflationary model with flat potential in general relativity

Varsha Maheshwari, Laxmi Poonia, Rakhi Mathur, Manali Vijayvargiya

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2375

In this paper: In the current research, I have used the framework of Bianchi Type II LRS type metric using the condition of the stiff fluid inflationary model with flat potential. For a relativistic solution of the...

AbstractReferencesFull Text PDF (447 KB)Views: 148Downloads: 118Citations: 0
Open Access Research Article·pp. 2339–2348·Vol. 28, Issue 6Sep 2025

Solution of nonlinear differential equations for hybrid nanofluid flow over stretching/shrinking permeable sheets with heat generation and stability analysis

D. B. Lakshmikantha, N. Raveendra, D. V. Jayalakshamamma, M. C. Kemparaju, D. V. Chandrashekar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2376

In this paper: The paper discusses the effects of a hybrid nanofluid that is magnetically driven in presence of the heat produced on a permeable sheet that rattles the exponential elongation or contraction. The hybr...

AbstractReferencesFull Text PDF (491 KB)Views: 185Downloads: 115Citations: 0
Open Access Research Article·pp. 2349–2357·Vol. 28, Issue 6Sep 2025

Algorithmic approaches to real and complex geometry in computer vision applications

Farhadeeba Shaikh, Mohammad Sohail Pervez, Satish S. Banait, Shubham Goswami, Anil Kumar, Uday Chandrakant Patkar

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2377

In this paper: The article “Algorithmic Approaches to Genuine and Complex Geometry in Computer Vision Applications” talks almost how geometric thoughts can be utilized to create computer vision frameworks work super...

AbstractReferencesFull Text PDF (450 KB)Views: 269Downloads: 133Citations: 0
Open Access Research Article·pp. 2359–2366·Vol. 28, Issue 6Sep 2025

Infinite-dimensional Hamiltonian systems in quantum computing simulations

Hemant Kumar Balasaheb Jadhav, Dinesh Goyal, Tanya Singh, Yatri Davda, Suman Kumar Swarnkar, Dharmesh Dhabliya

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2378

In this paper: There is a powerful mathematical method for simulating quantum dynamics that goes beyond finite qubit representations called infinite-dimensional Hamiltonian systems. These systems make it possible to...

AbstractReferencesFull Text PDF (467 KB)Views: 313Downloads: 159Citations: 0
Open Access Research Article·pp. 2367–2375·Vol. 28, Issue 6Sep 2025

Practical applications of random dynamical systems in autonomous vehicle navigation

Kumari Shipra, Bhalchandra M Hardas, Pawan Wawage, Virat V. Giri, Swapnali P. Gaikwad, Nitin Rakesh

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2379

In this paper: Random Dynamical Systems (RDS) are a powerful method for utilising mathematics to characterise and comprehend systems influenced by uncertainty and randomness. RDS are very important for self-driving...

AbstractReferencesFull Text PDF (429 KB)Views: 214Downloads: 130Citations: 0