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Explainable AI for Timetable Scheduling in Education: A Case Study

Authors : Maheshkumar S. Patil , Tukaram K. Gawali, Ishwar S. Jadhav DOI : 10.46335/IJIES.2025.10.7.9 Abstract –Timetable scheduling in educational institutions is a complex optimization problem that involves balancing multiple constraints such as teacher availability, classroom capacity, and student preferences. Traditional approaches often rely on heuristic or rule-based methods, which lack transparency and adaptability. Explainable […]

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Adversarial Attacks on Machine Learning Models

Authors: Divya Jayant Sarode , Divya Prakash Surwade DOI : 10.46335/IJIES.2025.10.8.2 Abstract –The rapid advancement of artificial Intelligence (AI) applications have brought security challenges, particularly in the form of adversarial machine learning (AML) attacks. As organizations worldwide invest in developing their own large language models and AI-driven applications, concerns over data security and model integrity […]

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