The IUP Journal of Computer Sciences

Volume 20, Issue 3, July-September 2026

ISSN :2583-441X

Impact Factor: 3; Acceptance rate: 30%; Turnaround time: 4-6 months

A "peer-reviewed" journal included in EBSCO and ProQuest (Part of Clarivate) Database

It is a quarterly journal that deals with Computing and encryption techniques, Computational problems, Databases, Algorithms and data structures, Cybernetics, Firewall techniques, Chip designing, Logic circuits and Software engineering, Programming techniques, Computer architecture, Neural networks, Cloud computing, Machine learning, Artificial intelligence, etc.

Focus Areas

  • Algorithms and Data Structures   |  
  • Encryption Techniques   |  
  • Computational Problems   |  
  • Artificial Intelligence   |  
  • Databases   |  
  • Firewall Techniques   |  
  • Chip Designing   |  
  • Logic Circuits   |  
  • Software Engineering   |  
  • Programming Techniques   |  
  • Computer Architecture   |  

Current Issue

Volume 20, Issue 3, July-September 2026
AI for Cybersecurity Threat Detection: A Comprehensive Review

Author: Shivam Jaiswal, Shyam Patel, Vinod Kumar S, Sahil Patel, Sagar K G and Sunena Rose

Published Online: July, 2026

Keywords: Artificial intelligence (AI), Cybersecurity, Threat detection, Machine learning (ML), Deep learning, Intrusion detection systems, Phishing detection, Malware detection, Explainable AI (XAI)

Legal Document Analyzer and Lawyer Connect: An Offline AI System for Legal Guidance

Author: Palli Bhaskara Rao and Ch Roopa Devi

Published Online: July, 2026

Keywords: Legal AI, Document analysis, RAG, LegalBERT, NLP, Offline AI, ChromaDB

Counterfactual Demand Forecasting for Retail Promotions Using Bayesian Causal Forests

Author: Kaushik Bar

Published Online: July, 2026

Keywords: Bayesian causal forest (BCF), Counterfactual demand forecasting, Uplift modeling, Heterogeneous treatment effects (HTE), Retail promotion effectiveness

Multimodal Pilot Fatigue Detection: A Review of Physiological Signals, Deep Learning and Explainable Human-Centric AI

Author: Prateek Karna, Rohit Mahato, Pihu Priyansa, Jyotshna Shree, Sagar K G and Yeswanth Kumar S

Published Online: July, 2026

Keywords: Pilot fatigue, Multimodal fusion, Explainable AI (XAI), Graph neural network, EEG, HRV, Spatiotemporal graph, Aviation safety

Design and Development of a Mobile-Based Emergency Vehicle Alert System

Author: Kaki Leela Prasad and Nadipalli Balaji Rao

Published Online: July, 2026

Keywords: Emergency response systems, Global positioning system (GPS) tracking, Smart traffic management, Mobile applications, Cloud-based alerts, Real-time systems

Archives


Volume 20, Issue 2, April-June 2026
Breaking the Language Barrier: A Deep Learning-Powered Indian Sign Language Translator

Author: Samarth Mishra, Devraj Mishra, Nikita Singh, Ashish Pandey and Shubham Kumar Singh

Published Online: April, 2026

Keywords: Indian sign language (ISL), Deep learning, Convolutional neural network (CNN), Hand gesture recognition, Edge detection, Hand tracking

Evolution of Software-Defined Networking: From Legacy to Modern Infrastructure

Author: Surender Singh

Published Online: April, 2026

Keywords: Software-defined networking (SDN), Network architecture, Open flow protocol, Legacy networks, Network virtualization, Cloud computing, Network security, Infrastructure modernization

A Farmer-Friendly Mobile Framework for Real-Time Pest and Disease Detection and Remedial Guidance Using Deep Learning with Multilingual and Offline Support

Author: Rishitosh Mondal, Prarambhika Bhattacharjee, Piyush Dawn, Koushiki Ghosh, Debolina Saha and Sudip Dogra

Published Online: April, 2026

Keywords: Farmer-centric, Pest/Disease, YOLOv8, Multilingual, Recommendation-based

ML-Based Model for Identification of the Causes and Implications of Network Downtime on the Nigerian Banking System

Author: Yusuf Mohammed Idowu, Francisca Nnoyelum Ogwueleka and Fatimah Binta Abdullahi

Published Online: April, 2026

Keywords: Network downtime, Banking system, Latency, Bandwidth utilization, Machine learning (ML), Random Forest, Support Vector Machine (SVM), Logistic Regression, ROC-AUC

Early Prediction of Type-2 Diabetes Using Machine Learning Algorithms

Author: Vinaya Kulkarni

Published Online: April, 2026

Keywords: Random Forest Classifier, Streamlit, SMOTE, Machine learning (ML), Confusion matrix