Wi-Fi backscatter communication offers a compelling solution for ultra-low-power and battery-free communication systems, especially within the Internet of Things (IoT) domain. By repurposing existing Wi-Fi infrastructure and ambient signals, backscatter systems achieve energy-efficient communication by reflecting signals rather than generating them. This review consolidates the current landscape of Wi-Fi backscatter technologies and highlights key areas …

Wi-Fi Backscatter for Low Power IoT: Review and Research OutlookRead More

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 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