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)

Powered by:Powered by

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

Information and Optimization Techniques for Sustainable Computing (Part-B)

Volume 47, Issue 5-B·May 2026·25 articles

Articles

Open Access Research Article·pp. i–vii·Vol. 47, Issue 5-BMay 2026

Special Issue on Information and Optimization Techniques for Sustainable Computing (Part-B)

Ramesh Chandra Poonia, Kamal Upreti, Nidhi Singh, Dyuti Banerjee, Rajesh Kumar, Agnieszka Góra-Błaszczykowska, G.V Radhakrishnan, Kapil Joshi

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-47-5-B-Foreword

In this paper: This special issue titled “Information and Optimization Techniques for Sustainable Computing”, presents rigorously peer-reviewed research contributions aligned with the fields of information sciences...

AbstractFull Text PDF (120 KB)Views: 294Downloads: 113Citations: 0
Open Access Research Article·pp. 1879–1886·Vol. 47, Issue 5-BMay 2026

Energy-efficient protocols for wireless sensor networks optimizing power consumption for prolonged network lifespan

Swati Gopal Gawhale, Deepak Suresh Asudani, Omkar Mahesh Manav, E. Shalini, Karuna S. Bhosale

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2280

In this paper: There is a constrained in wireless sensor network by the limited battery as a resources, make efficiently use of energy efficiency in design protocol. Premature node death reduces coverage, connectivi...

AbstractReferencesFull Text PDF (493 KB)Views: 260Downloads: 123Citations: 0
Open Access Research Article·pp. 1887–1895·Vol. 47, Issue 5-BMay 2026

Privacy-preserving machine learning techniques ensuring data confidentiality and model accuracy in federated learning environments

Sinu Nambiar, Manjusha Tatiya, Kajal Sanjay Diwate, Deepika Sharma, Samir N. Ajani, Yogesh Nagargoje

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2281

In this paper: Federated learning (FL) lets multiple people work together to train a model without storing private data in one place. This has a lot of promise for making AI more privacy-aware. However, FL is still...

AbstractReferencesFull Text PDF (576 KB)Views: 235Downloads: 131Citations: 0
Open Access Research Article·pp. 1897–1906·Vol. 47, Issue 5-BMay 2026

Prevention of ransomware attacks using advanced encryption and behavioral analysis

Pooja Bagane, Sonali Kothari, Ankur Goyal, Ranjeet Bidwe, Vaibhavi Rana, Sanju Saji, Sankalp Taneja, Manya Chandiramani

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2282

In this paper: In an evolving digital era, and ransomware forms are significantly increasing day by day. These attacks use encryption to lock down victims’ data and ask for cash (a ransom) in turn for a decrypting k...

AbstractReferencesFull Text PDF (466 KB)Views: 158Downloads: 108Citations: 0
Open Access Research Article·pp. 1907–1917·Vol. 47, Issue 5-BMay 2026

CyberShield : AI powered broken access control detection and mitigation

Aashmit Mckenzie, Malay Doshi, Gauri Deoghare, Ranjeet Bidwe, Sonali Kothari, Pooja Bagane, Ankur Goyal

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2283

In this paper: Broken Access Control (BAC) is identified as the most dangerous and common vulnerability in the modern web systems. BAC can cause severe problems, such as data leaks, privilege escalations and unautho...

AbstractReferencesFull Text PDF (977 KB)Views: 214Downloads: 155Citations: 0
Open Access Research Article·pp. 1919–1930·Vol. 47, Issue 5-BMay 2026

An integrated mathematical cognitive system employing swarm computing for convergence of artificial intelligence and knowledge representation

Rahul Maheshwari, Vivek Kapoor

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2284

In this paper: This research introduces an enhanced LSTM framework utilizing PSO for forecasting the opening value of the NSE index. This study introduces the LSTM and augmented PSO-LSTM framework for stock price pr...

AbstractReferencesFull Text PDF (595 KB)Views: 160Downloads: 110Citations: 0
Open Access Research Article·pp. 1931–1943·Vol. 47, Issue 5-BMay 2026

Evaluating AI convergence and performance analysis for cross transfer entropy based learning among time-lagged data employing cognitive computing framework

Rahul Maheshwari, Vivek Kapoor

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2285

In this paper: Forecasting share market’s imminent is a complex and challenging task, necessitating the examination of vast data and the evaluation of various political, social, and economic variables. Due to the in...

AbstractReferencesFull Text PDF (941 KB)Views: 204Downloads: 105Citations: 0
Open Access Research Article·pp. 1945–1954·Vol. 47, Issue 5-BMay 2026

KBBOCVI : A hybrid biogeography-based optimization algorithm for optimal cluster head selection for HWSNs

Sumit Kumar, Hukum Chand Saini, Madan Lal Saini, Sandeep Kumar

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2286

In this paper: In wireless sensor networks Energy-efficient communication is one of the key requirements for a long lifetime. Clustered organization of the sensor nodes is widely acceptable as an energy-efficient ro...

AbstractReferencesFull Text PDF (437 KB)Views: 154Downloads: 114Citations: 0
Open Access Research Article·pp. 1955–1964·Vol. 47, Issue 5-BMay 2026

Generic row filtering and column masking for fine-grained data access control through secure JDBC drivers

Rahul Kumar Sharma, Vivek Kapoor

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2287

In this paper: In today’s data-centric world, safeguarding confidentiality and staying compliant with strict privacy laws is no longer optionality – it is essential. However, traditional database security often lack...

AbstractReferencesFull Text PDF (501 KB)Views: 133Downloads: 120Citations: 0
Open Access Research Article·pp. 1965–1975·Vol. 47, Issue 5-BMay 2026

From perception to action : Integrating cognitive systems with deep AI models for enhanced human-like intelligence

G. K. Shwetha, Maitri Patel, Monica Bhutani, Nagamani Molakatala, H. S. Gururaja, Rijuta Prashant Joshi, Shazia Shaikh

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2288

In this paper: The use of AI with cognitive technologies is dramatically reshaping the field of making intelligent machines. In this paper, we developed a framework using deep learning to help robots with perception...

AbstractReferencesFull Text PDF (540 KB)Views: 204Downloads: 122Citations: 0
Open Access Research Article·pp. 1989–2001·Vol. 47, Issue 5-BMay 2026

Predicting IT graduate student’s employability using machine learning and deep learning hybrid approaches

Ankita Chopra, Madan Lal Saini, Vivek Kumar Sharma

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2290

In this paper: The growing demand for skilled professionals highlights the need for accurate prediction of employability and placement success among engineering students. Traditional methods of assessing placement s...

AbstractReferencesFull Text PDF (181 KB)Views: 279Downloads: 148Citations: 0
Open Access Research Article·pp. 2003–2010·Vol. 47, Issue 5-BMay 2026

Optimized multi-class sentiment classification of Flipkart product reviews using deep learning

Sonica Upadhyay, Yogesh Kumar Gupta

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2291

In this paper: Due to the exponential growth of textual information on the internet, online monitoring and mining of textual data have become a prominent task for researchers, which requires a deeper understanding o...

AbstractReferencesFull Text PDF (456 KB)Views: 189Downloads: 125Citations: 0
Open Access Research Article·pp. 2011–2019·Vol. 47, Issue 5-BMay 2026

Speculation of lung cancer using deep learning sequential and CNN model

Ravi Raj Choudhary, Himanshu Kumar Prashar, Gaurav Meena

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2292

In this paper: Lung cancer is the leading cause of cancer-related fatalities worldwide, owing mostly to its late detection and fast development.  Early and precise detection is crucial to increasing survival rates....

AbstractReferencesFull Text PDF (631 KB)Views: 135Downloads: 93Citations: 0
Open Access Research Article·pp. 2021–2029·Vol. 47, Issue 5-BMay 2026

Tag-based recommendation system using bi-clustering

Mahesh Mali, Payal Mishra, Hiral Modi

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2293

In this paper: With the onset of the new age, consumers are overwhelmed by the many choices of movies that can be watched. A solution gives rise to the need for a recommendation system (RecSys) that will suggest a t...

AbstractReferencesFull Text PDF (641 KB)Views: 177Downloads: 139Citations: 0
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: 133Downloads: 114Citations: 0
Open Access Research Article·pp. 2043–2052·Vol. 47, Issue 5-BMay 2026

Age prediction on EEG signals via hybrid feature engineering approach

Wanus Srimaharaj, Neeta N. Thune, Supansa Chaising, A. B. Kanwade, G. S. Gawande

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2295

In this paper: This study proposes a Gaussian Process Regression (GPR) model with a custom composite kernel for age prediction from normal electroencephalogram (EEG) signals. Using the TUH Abnormal EEG Corpus from t...

AbstractReferencesFull Text PDF (683 KB)Views: 239Downloads: 116Citations: 0
Open Access Research Article·pp. 2053–2064·Vol. 47, Issue 5-BMay 2026

Efficient machine learning techniques for hate speech detection in social networks

Muntaj Begum Shaik, D. S. Rao

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2296

In this paper: In social networks, hate speech detection is an emerging need for avoiding offensive messages as well as to block the corresponding users. Many users are affected by these messages on social networks...

AbstractReferencesFull Text PDF (673 KB)Views: 164Downloads: 100Citations: 0
Open Access Research Article·pp. 2065–2073·Vol. 47, Issue 5-BMay 2026

Mathematical foundations of neural network weight optimization

Madhuri B. Thorat, Vaishali Pawan Wawage, Durga Prasad Yadav, P. Pushpalatha, Yatin Gandhi

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2297

In this paper: Neural network optimisation is a major problem in deep learning. It needs algorithms that work well with millions of parameters and keep convergence stable and generalisation. Stochastic gradient desc...

AbstractReferencesFull Text PDF (405 KB)Views: 218Downloads: 115Citations: 0
Open Access Research Article·pp. 2075–2082·Vol. 47, Issue 5-BMay 2026

Fuzzy set theory in multi-criteria engineering decision making

Zaware Sarika Nitin, Pooja Ashok Shelar, Deepika Sharma, V. Dhanalakshmi, Sharyu Ikhar, Yogesh Nagargoje

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2298

In this paper: With the incorporation of fuzzy set theory into Multi-criteria decision-making (MCDM), the engineers have modified how they make decisions in consideration of uncertainty and imprecision. Where emotio...

AbstractReferencesFull Text PDF (653 KB)Views: 155Downloads: 136Citations: 0
Open Access Research Article·pp. 2083–2093·Vol. 47, Issue 5-BMay 2026

Developing accurate predictive models for brain tumor growth using LSTM and GRU techniques

Rahul Namdeo Jadhav, G. Sudhagar

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2299

In this paper: Using Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) methods, this study aims to create accurate models that can predict the growth of brain tumours. We used a complete method that inclu...

AbstractReferencesFull Text PDF (936 KB)Views: 134Downloads: 109Citations: 0
Open Access Research Article·pp. 2095–2107·Vol. 47, Issue 5-BMay 2026

Improvised deep learning techniques with the spectral concept for the robust skin disease image classification

Lakshmi Deepthi Nukala, T. Aruna Sri, K. Rajendra Prasad

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2300

In this paper: In the field of medical research on skin diseases, machine learning categorization approaches are becoming increasingly prominent. The classification process frequently makes use of the extraction of...

AbstractReferencesFull Text PDF (1.0 MB)Views: 194Downloads: 105Citations: 0
Open Access Research Article·pp. 2109–2117·Vol. 47, Issue 5-BMay 2026

Fraud-Detect-Net : A deep learning and machine learning framework for detecting fake job postings

Sonika Malik, Preet Rathee, Anupama Kaushik, Prabhjot Kaur, Akshay Singh

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2301

In this paper: This study presents a hybrid framework combining BERT embeddings with a Random Forest classifier to detect fraudulent job postings. To address the severe class imbalance between genuine and fake listi...

AbstractReferencesFull Text PDF (318 KB)Views: 168Downloads: 113Citations: 0
Open Access Research Article·pp. 2119–2127·Vol. 47, Issue 5-BMay 2026

Dynamic inertia weight control using fitness metrics in particle swarm optimization algorithm

Suchita Arora, Sunil Kumar, Sandeep Kumar

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2302

In this paper: Nature solves complex problems in a simple manner. This inspired researchers to develop a mathematical model to solve real-world problems that are not solvable or require high-end resources. The parti...

AbstractReferencesFull Text PDF (275 KB)Views: 166Downloads: 118Citations: 0
Open Access Research Article·pp. 2129–2138·Vol. 47, Issue 5-BMay 2026

Wildfire detection using modified particle swarm optimization algorithm

Suchita Arora, Sunil Kumar, Sandeep Kumar, Bhupesh Kumar Singh

Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2303

In this paper: Wildfires claim many lives yearly and cause huge environmental and economic damage. Some of the worst wildfire disasters can be found in world history. Reducing CO2 emissions is critical to prevent ir...

AbstractReferencesFull Text PDF (944 KB)Views: 194Downloads: 145Citations: 0