Communication barriers remain a critical challenge for individuals with speech impairments, often limiting their ability to interact with their environment and control everyday devices. Existing assistive technologies mainly rely on voice, touch or gesture-based interfaces, which may not be suitable for all users due to physical or cognitive limitations. In this paper propose a novel …

A Handwriting-Based IoT Control System for Speech-Impaired Users Using LLMs and Edge DevicesRead More

This study investigates the influence of English language proficiency, academic stream, and digital skills on the higher education preferences and career aspirations of pre-university students in Sri Lanka. Using data mining techniques in WEKA 3.8.6, the Apriori, RandomTree, and REPTree algorithms were applied to identify correlations and predictors. Results revealed English proficiency and coding ability …

Exploring the Interplay Between Academic Background, Digital Literacy, and Career Aspirations Among Pre-University Students in Sri LankaRead More

The increasing environmental degradation caused by traditional engineering materials has led to a global shift toward sustainable alternatives. This paper explores the role of sustainable engineering materials in reducing environmental impact across sectors such as construction, manufacturing, and energy. It provides a comprehensiveanalysis of the life cycle of sustainable materials, highlights the environmental harm of …

Sustainable Engineering Materials for Environmental ProtectionRead More

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