Advancing BIM-Driven Elemental Cost Planning – A Standards-Based Revit Plugin for Accurate Construction Estimation

While Elemental Cost Planning (ECP) is widely adopted in international construction, its integration with Building Information Modeling (BIM) remains underdeveloped in Sri Lanka. This study aims to address the absence of a standardised, automated, and NRM 01-compliant BIM-ECP solution by developing a functional Revit-based plugin capable of producing accurate, region-sensitive cost estimates. As the design …

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Food Insecurity in University Students: A Mini Review

University students may be vulnerable to food insecurity (FI) due to lower purchasing power, increasing housing and food costs. Due to economic crisis affordability may be low. The purpose of this article is to review the food insecurity in university students. This is a mini review on a few papers, research and articles according to …

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Sustainable Engineering Materials for Environmental Protection

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 …

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

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 …

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Low Power Face Recognition Using FPGA and GPU Hybrid

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 …

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