The escalating demand for efficient and secure attendance management systems has driven innovation beyond traditional manual methods, which are inherently prone to inaccuracies, inefficiency, and fraud. Artificial intelligence (AI)-driven facial recognition emerges as a transformative solution, offering real-time, non-intrusive, and highly accurate identification. This review paper synthesizes the current state of research in real-time face …

Low Power Face Recognition Using FPGA and GPU HybridRead More

Automated inspection of concrete bridge components is crucial for timely maintenance and safety. This paper presentsan algorithm for automated crack severity assessment in simply supported bridge beams using UAV-based video analysis. Theproposed method integrates deep learning for crack detection with image processing techniques to measure crack dimensions andintroduces a novel severity metric that combines the …

Algorithm for Automated Severity Assessment of Cracks in Simply Supported Bridge Beams Using UAV-Based Video AnalysisRead More

Most of the Natural Language Processing (NLP) techniques have been evolved to work with the Englishlanguage only and most other languages including Sinhala are poorly addressed. The given paper constitutes a modelof sentiment analysis of the Sinhala language. The model is built on a Convolutional Neural Network (CNN), trainedon a special dataset of Sinhala social …

Sentiment Analyzer Model for Sinhala to English TranslationRead More

The paper explores the joint optimization of beamforming and phase shifts in Intelligent Reflecting Surface (IRS)-aided Non-Orthogonal Multiple Access (NOMA) systems within the context of 6G networks. We propose a novel algorithm that optimizes the beamforming vectors at the base station (BS) and the phase shifts at the IRS to maximize the sum rate of …

Joint Beamforming and Phase Shift Optimization in IRS-Aided NOMA Communications in 6G NetworksRead More

Time management in football matches has long been a contentious issue, with substantial delays arising from stoppages such as ball out-of-play scenarios, player injuries, substitutions, and VAR reviews. This research introduces an AI-driven system that leverages smart sensors, computer vision, and wearable technology to enhance timekeeping accuracy, reduce human error, and improve overall game fairness. …

Real-Time Management of Football Matches Powered by Artificial Intelligence TechnologyRead More