TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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

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

Volume 46, Issue 4-B·May 2025·22 articles

Articles

Open Access Research Article·pp. i–vii·Vol. 46, Issue 4-BMay 2025

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

Dinesh Goyal, Anil Kumar, Maria Ganzha

Published Online: 31 May 2025DOI: 10.47974/JIOS-46-4-B-Foreword

In this paper: Advances in Internet of Things (IoT) and its applications in real life have revolutionalized the way human beings interact with machines, enabled the integration of sensors, devices, and systems to co...

AbstractFull Text PDF (114 KB)Views: 223Downloads: 109Citations: 0
Open Access Research Article·pp. 1129–1139·Vol. 46, Issue 4-BMay 2025

Deep learning for optimized path planning in autonomous vehicles by integrating reinforcement learning with convolutional neural networks

Monali G. Dhote, Bhushan Marutirao Nanche, Parikshit Mahalle, Syed Sumera Ali, Monali Gulhane, Vijay Suresh Karwande

Published Online: 31 May 2025DOI: 10.47974/JIOS-1897

In this paper: Autonomous vehicles (AVs) need efficient path planning systems to get around in complicated settings safely and successfully. It can be hard for traditional methods to change to changing situations an...

AbstractReferencesFull Text PDF (826 KB)Views: 280Downloads: 118Citations: 0
Open Access Research Article·pp. 1141–1151·Vol. 46, Issue 4-BMay 2025

A framework for multi-task learning optimization in deep neural networks : Balancing task priorities for improved performance

Ravindra K. Moje, Bhavana Tiple, Shankar M. Patil, Tushar Jadhav, Aniket Prakashrao Munshi, Akshay Revekar

Published Online: 31 May 2025DOI: 10.47974/JIOS-1898

In this paper: Deep neural networks (DNNs) have made multi-task learning (MTL) a powerful way to learn multiple linked tasks at once, using shared models to improve generalization and speed. But successfully matchin...

AbstractReferencesFull Text PDF (819 KB)Views: 244Downloads: 116Citations: 0
Open Access Research Article·pp. 1153–1163·Vol. 46, Issue 4-BMay 2025

Adaptive noise injection techniques for optimizing deep learning models under adversarial attacks

Araddhana Arvind Deshmukh, Priyanka S. Dhumal, Shankar M. Patil, Samir N. Ajani, Gaurav Gondhalekar, Ajay Kumar Mehta, Saurabh Bhattacharya

Published Online: 31 May 2025DOI: 10.47974/JIOS-1899

In this paper: More and more apps are using deep learning models, which has raised worries about how vulnerable they are to threats from other programs. As a result, academics have looked into adaptable noise input...

AbstractReferencesFull Text PDF (695 KB)Views: 366Downloads: 123Citations: 0
Open Access Research Article·pp. 1165–1175·Vol. 46, Issue 4-BMay 2025

Exploring alternative techniques for accelerating deep learning convergence for batch normalization

Shyam Deshmukh, Bhavana Tiple, Gurunath T. Chavan, Madhura Phatak, Gaurav Gondhalekar, Rajesh B. Raut

Published Online: 31 May 2025DOI: 10.47974/JIOS-1900

In this paper: Deep learning models are the most important part of current AI systems because they can learn complex patterns from data in a very impressive way. However, creating these models often takes a lot of t...

AbstractReferencesFull Text PDF (491 KB)Views: 301Downloads: 125Citations: 0
Open Access Research Article·pp. 1177–1187·Vol. 46, Issue 4-BMay 2025

An optimization strategy for portfolio management leveraging deep reinforcement learning for automated stock trading

Gurunath T. Chavan, Santosh H. Lavate, Pradip Ram Selokar, Deepti Raverkar, Aniket Prakashrao Munshi, Kriti Kusum

Published Online: 31 May 2025DOI: 10.47974/JIOS-1901

In this paper: Traditional strategies for managing portfolios often rely on rigid models and people’s gut feelings, which might not work as well when the market is changing and unclear. Instead, DRL seems like a goo...

AbstractReferencesFull Text PDF (539 KB)Views: 305Downloads: 136Citations: 0
Open Access Research Article·pp. 1189–1198·Vol. 46, Issue 4-BMay 2025

Shaping the future of leadership through the complex role of management sciences

Jyoti Chetan Vanikar, Swati Bula Patil, Archana S. Banait, Vinit Khetani, Gaurav Gondhalekar, Yatin Gandhi

Published Online: 31 May 2025DOI: 10.47974/JIOS-1902

In this paper: The future of leadership is deeply connected to the complexity of the modern world, which calls for a deep merging of management science concepts. This abstract talks about how to use models from mana...

AbstractReferencesFull Text PDF (813 KB)Views: 257Downloads: 114Citations: 0
Open Access Research Article·pp. 1199–1209·Vol. 46, Issue 4-BMay 2025

Leveraging management sciences to optimize healthcare systems and improve patient services

Mahendra Alate, Dharmesh Dhabliya, Dhanaji Wagh, Jambi Ratna Raja Kumar, Swapna Ajay Shedge, Parth Sharma

Published Online: 31 May 2025DOI: 10.47974/JIOS-1903

In this paper: In an era where healthcare systems are under increasing pressure to deliver efficient and effective services, the integration of management sciences has emerged as a pivotal strategy for optimizing op...

AbstractReferencesFull Text PDF (742 KB)Views: 152Downloads: 105Citations: 0
Open Access Research Article·pp. 1211–1220·Vol. 46, Issue 4-BMay 2025

Revolutionizing medical research with statistical analysis and management information systems integration

Trupti S. Bhosale, Arun Kumar Katkoori, R. G. Hemanth Kumar, Prashant Dhage, M. M. Thorat, Yogesh D. Deshpande

Published Online: 31 May 2025DOI: 10.47974/JIOS-1904

In this paper: Statistical analysis and strong management information systems (MIS) can work together to change the way medical research is done in a field that is changing quickly. This outline explains how this me...

AbstractReferencesFull Text PDF (1.2 MB)Views: 224Downloads: 77Citations: 0
Open Access Research Article·pp. 1221–1240·Vol. 46, Issue 4-BMay 2025

Evaluating macroeconomic influences on Indian public sector banks using mathematical programming pre and post insolvency and bankruptcy code 2016 (2011-2022)

Bhavika Nemade, Jyoti Nair

Published Online: 31 May 2025DOI: 10.47974/JIOS-1905

In this paper: This research looks at how macroeconomic indicators impact the financial health of public sector banks in India, concentrating on changes that occurred both before and after the 2016 implementation of...

AbstractReferencesFull Text PDF (284 KB)Views: 140Downloads: 93Citations: 0
Open Access Research Article·pp. 1253–1263·Vol. 46, Issue 4-BMay 2025

Hybrid machine learning models for solving complex optimization problems in information systems

Sandip Desai, Neha Amol Rahul, Vaishali Latke, Trupti Deshmukh, Parikshit Mahalle, Laxmikant Umate

Published Online: 31 May 2025DOI: 10.47974/JIOS-1987

In this paper: This paper investigates the viability of crossover machine learning (ML) models in understanding complex optimization issues inside data frameworks. Crossover ML models, which combine two or more conv...

AbstractReferencesFull Text PDF (668 KB)Views: 283Downloads: 100Citations: 0
Open Access Research Article·pp. 1265–1275·Vol. 46, Issue 4-BMay 2025

Deep learning-enhanced decision support systems for optimized health informatics solutions

Dhiraj Kumar Mane, Pranav Charkha, Nelson Nishant Kumar Lyngdoh, Prashant Ashok Patil, Priya P. Roy, Jitendra Kumawat, Vinit Khetani

Published Online: 31 May 2025DOI: 10.47974/JIOS-1988

In this paper: The integration of Deep learning-enhanced choice back frameworks (DSS) in wellbeing informatics has illustrated noteworthy potential to convert healthcare conveyance. This paper investigates the execu...

AbstractReferencesFull Text PDF (571 KB)Views: 195Downloads: 105Citations: 0
Open Access Research Article·pp. 1277–1288·Vol. 46, Issue 4-BMay 2025

Efficient resource allocation in healthcare systems through deep learning and optimization science

Vaishali V. Raje, Sukhvinder Singh Dari, Shrikrishna N. Bamne, Prasad B. Chaudhari, Trupti S. Bhosale, Girraj Khandelwal, Vinit Khetani

Published Online: 31 May 2025DOI: 10.47974/JIOS-1989

In this paper: Efficient resource allotment in healthcare frameworks could be a basic challenge, particularly given the expanding request for quality care and constrained assets. This term paper investigates the int...

AbstractReferencesFull Text PDF (809 KB)Views: 239Downloads: 104Citations: 0
Open Access Research Article·pp. 1289–1301·Vol. 46, Issue 4-BMay 2025

Leveraging machine learning for real-time optimization in large-scale information systems

Swati G. Kale, Smita N. Gambhire, Deepti Deshmukh, Dharmesh Dhabliya, Yeshil Bangera, D. J. Dahigaonkar

Published Online: 31 May 2025DOI: 10.47974/JIOS-1990

In this paper: The quick development of information and the expanding complexity of large-scale data frameworks require progressed optimization methods to guarantee tall execution, versatility, and unwavering qualit...

AbstractReferencesFull Text PDF (905 KB)Views: 256Downloads: 105Citations: 0
Open Access Research Article·pp. 1303–1312·Vol. 46, Issue 4-BMay 2025

Applications of fuzzy set theory and topology in decision making for autonomous systems and robotics

K. P. Kamble, Ganesh Vishnu Gosavi, Vivek Deshpande, Sachin Sakharam Gaikwad, Sarika B. Patil, Rahul Dnyanoba Shelke

Published Online: 31 May 2025DOI: 10.47974/JIOS-1991

In this paper: Putting Fuzzy Set Theory and Topology together is a key part of making decisions better in robots and autonomous systems. Fuzzy Set theory can version actual-world issues wherein trendy binary common...

AbstractReferencesFull Text PDF (548 KB)Views: 251Downloads: 100Citations: 0
Open Access Research Article·pp. 1313–1322·Vol. 46, Issue 4-BMay 2025

Traffic flow optimization in smart cities using queueing theory and dynamical system analysis

Shraddha Gendlal Vaidya, Sulakshana Malwade, Vivek Deshpande, Saurabh Bhattacharya, Sagar Vasantrao Joshi, Ramesh Adireddy

Published Online: 31 May 2025DOI: 10.47974/JIOS-1992

In this paper: Controlling urban traffic flow is very essential in smart city design; so, advanced analytical tools are needed to lower congestion and increase mobility. This work explores the use of dynamical syste...

AbstractReferencesFull Text PDF (538 KB)Views: 415Downloads: 117Citations: 0
Open Access Research Article·pp. 1323–1333·Vol. 46, Issue 4-BMay 2025

BHPEC : Design of an efficient model for blockchain-based healthcare privacy enhancement in clinical settings

Rubana A. Khan, Bhavna Sharma, Nita M. Thakare

Published Online: 31 May 2025DOI: 10.47974/JIOS-1993

In this paper: In the fast-changing health technology domain, the need for an improvement in privacy and efficiency in the clinical scenario has become very critical. Traditional blockchain models, revolutionary in...

AbstractReferencesFull Text PDF (595 KB)Views: 235Downloads: 123Citations: 0
Open Access Research Article·pp. 1335–1346·Vol. 46, Issue 4-BMay 2025

Real time image analytics in IoT networks : Statistical and AI models for efficient processing

V. Dankan Gowda, Galiveeti Poornima, H. L. Parashivamurthy, Sampathirao Suneetha, K.D.V. Prasad, Shyamsunder Chitta

Published Online: 31 May 2025DOI: 10.47974/JIOS-1994

In this paper: The utilization of real time image analysis within the IoT networks has received increased interest because of the high demand of visual information that will support applications like smart cities, i...

AbstractReferencesFull Text PDF (555 KB)Views: 224Downloads: 114Citations: 1
Open Access Research Article·pp. 1347–1356·Vol. 46, Issue 4-BMay 2025

AI-driven green testing : Optimizing efficiency and sustainability in software testing

Manoj Kumar Singhal, Chhaya Gunawat

Published Online: 31 May 2025DOI: 10.47974/JIOS-2001

In this paper: Software has become integral to daily life, continually expanding with increasingly complex features to meet growing expectations. However, managing these complexities—from understanding application d...

AbstractReferencesFull Text PDF (211 KB)Views: 197Downloads: 111Citations: 0
Open Access Research Article·pp. 1357–1368·Vol. 46, Issue 4-BMay 2025

Real time data fusion and mathematical modeling techniques for intelligent IoT systems

V. Dankan Gowda, Pratik Gite, Shashikala Salekoppalu Venkataramu, Madan Mohanrao Jagtap, K.D.V. Prasad, Shyamsunder Chitta

Published Online: 31 May 2025DOI: 10.47974/JIOS-1995

In this paper: In the context of IoT, both system integration and real-time processing, diverse sensor data are essential for creating smart and adaptive systems. This paper introduces a complete set of algorithms f...

AbstractReferencesFull Text PDF (660 KB)Views: 305Downloads: 134Citations: 0
Open Access Research Article·pp. 1369–1383·Vol. 46, Issue 4-BMay 2025

Optimizing spectrum sensing performance and prediction of trustworthy users by implementing machine learning algorithms in cognitive radio network

Umakanta Samantsinghar, Srinivas Sethi, Ramesh Chandra Sahoo, Dhruba Charan Panda

Published Online: 31 May 2025DOI: 10.47974/JIOS-1885

In this paper: With the quick advancement of wireless communication technologies and the rising demand for spectrum resources, integrating learning and reasoning capabilities into cognitive radio networks (CRN) has...

AbstractReferencesFull Text PDF (731 KB)Views: 191Downloads: 102Citations: 0