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

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 English language only and most other languages including Sinhala are poorly addressed. The given paper constitutes a model of sentiment analysis of the Sinhala language. The model is built on a Convolutional Neural Network (CNN), trained on a special dataset …

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

This study investigates the factors influencing the academic performance of Advanced Level (AL) technology students in Sri Lanka, focusing on two technology streams: Engineering Technology and Bio Systems Technology. A sample of 300 students was selected using a simple random sampling technique, and data were collected through a Google Forms questionnaire. The questionnaire was designed …

Factors Affecting Advanced Level Technology Students’ Performance in Sri LankaRead More