Journal Issue

This paper presents a review of current methods used in designing reinforcement for concrete and steel composite bridge decks supported by wide flange girders. The study discusses bridge deck construction efficiency, structural response and the influence of girder configuration. Future analysis is proposed for bridge decks with spans ranging from 20 m to 60 m under IRC Class-AA moving vehicle loading using ANSYS, considering stress, strain, deformation and dynamic response.

This paper proposes an intelligent traffic signal control framework based on Deep Reinforcement Learning using a Deep Q-Network (DQN) to optimize traffic signal operations at a four-way intersection. The traffic environment is modeled as a Markov Decision Process using vehicle queue lengths as the system state and traffic signal phases as actions. Experimental evaluation shows that the DQN-based controller can reduce congestion and improve traffic flow compared with conventional fixed-time and random control strategies.

This paper presents an AI-based fitness trainer mobile application designed to monitor exercises and evaluate posture in real time using a smartphone camera. Google ML Kit Pose Detection is used to identify 33 body landmarks, while joint-angle calculations and a threshold-based state machine enable repetition counting and posture assessment. The application also integrates Firebase for user authentication, workout storage, analytics and progress tracking, providing a sensor-free solution for guided home workouts.

This paper proposes and evaluates a multi-agent reinforcement learning framework for personalized higher education. The framework coordinates learner modeling, content sequencing, formative assessment, engagement support, instructor escalation and governance through cooperative agents. Simulation-based evaluation compares the proposed approach with non-adaptive instruction, rule-based adaptation and single-agent reinforcement learning while incorporating safeguards for privacy, fairness, accessibility, explainability and human review.

This paper studies conditions under which a mapping has a fixed point and examines two fundamental results in fixed point theory. The Banach contraction principle is discussed in complete metric spaces with emphasis on existence, uniqueness, convergence and error estimates. It is then compared with Brouwer’s fixed-point theorem, which guarantees existence for continuous self-maps of compact convex subsets of finite-dimensional Euclidean spaces but generally does not provide uniqueness or an iterative construction.