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

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72 results found

Open Access Journal of Information and Optimization Sciences

Deepfake detection using contrastive language–image pre-training (CLIP)

Swati Sah, Shivam Kumar, Ravi Prakash Chaturvedi, Ganesh Kumar Dixit, Rejwan Bin Sulaiman, Saurabh Kumar

Sep 2026

Open Access Journal of Information and Optimization Sciences

AI-driven advisory in insurance services : An experimental study on trust, transparency, and policy adoption

Chirag Rasikbhai Patel, Parimal R. Trivedi, Khushbuben Ravindrabhai Yadav, Bhagvan M. Karnavat

Sep 2026

Open Access Journal of Information and Optimization Sciences

Examining trust, transparency and AI adoption on LinkedIn : Evidence from an extended UTAUT framework

Chiragkumar B. Rathod, Vinitkumar M. Mistri, Abhipsa Vagadia, Chirag Rasikbhai Patel, Bhagvan M. Karnavat

Sep 2026

Open Access Journal of Information and Optimization Sciences

Future use of artificial intelligence for SKU promotion in retail : Applications, perceptions, and strategic challenges

Justina Joseph, Chiragkumar B. Rathod

Sep 2026

Open Access Journal of Information and Optimization Sciences

A multi-modal framework for detecting fake and cloned websites using holistic web profile

S. Baghavathi Priya, D. Pradeep Raj, G. K. Tharun Kaarthik, Venkateswaran Radhakrishnan, Syed Arshad Ali

Sep 2026

Open Access Journal of Information and Optimization Sciences

Secure and scalable federated learning with blockchain consensus and incentive mechanisms

Santhosh Kumar Gorva, Karuna S. Bhosale, J. Sebastian Nixon, S. N. Prajwalasimha, Dilip Kumar Jang Bahadur Saini, Vijaya Kumbhar

Sep 2026

Open Access Journal of Information and Optimization Sciences

Privacy-preserving federated learning for cyber threat intelligence in industrial systems with blockchain security

J. Sebastian Nixon, Santhosh Kumar Gorva, Sachin Solanki, Dilip Kumar Jang Bahadur Saini, S. N. Prajwalasimha, Pulkit Tiwari

Aug 2026

Open Access Journal of Information and Optimization Sciences

Integrating AI models for code analysis and enhancing interpretability with explainable AI for human-readable bug detection

B. K. Kavya, S. Annamalai, A. Suresh Kumar

Aug 2026

Open Access Journal of Information and Optimization Sciences

A multi-level trusted security framework for high-fidelity GAN video deepfake detection in real-time systems

Sanjay Kumar, Deepak Awasthi, Ravi Krishan Pandey, Arun Kumar Uttam, Shashi Kant Gupta

Aug 2026

Open Access Journal of Information and Optimization Sciences

Attention consistency for robust deepfake detection : An informationtheoretic perspective

Swati Jadhav, Sagar Mohite, Vaishali Rajput, Rashmi Ashtagi, Anusha Pai, Santushti Betgeri

Jul 2026

Open Access Journal of Information and Optimization Sciences

Stochastic modeling of a retrial queue with server vacations and customer impatience in a multi-level environment

C. T. Dora Pravina, G. Hemavathi, Sukumaran Damodaran

Jun 2026

Open Access Journal of Information and Optimization Sciences

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

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

Apr 2026