Accurate prediction of Wet Bulb Temperature (WBT) is critical for assessing heat stress and guiding early-warning and adaptation strategies in arid urban regions. This study explored advanced machine learning models for monthly WBT prediction in Jedd... read more
Urban energy consumption in arid regions presents substantial challenges for sustainable development, with cooling demands representing a major component of building energy loads. The urban heat island (UHI) phenomenon intensifies these pressures by ... read more
Geopolymer concrete is a low carbon alternative promising replacement for the conventional Portland cement, yet its mix design process still depends to a great extent on lengthy laboratory testing. This article presents a new two stage artificial int... read more
The rapid expansion of the internet of things (IoT) has introduced significant security vulnerabilities, as traditional signature-based detection methods struggle to keep pace with evolving cyber threats. This study proposes a lightweight intrusion d... read more
Substantial efforts have been made to modernize and decarbonize the waste collection industry. Smart sensor-based waste collection (SWC) systems have been developed to optimize collection routes based on the actual waste levels in bins, thereby reduc... read more
Introduction The literature highlights the considerable potential of Artificial Intelligence (AI), particularly large language models (LLMs), in advancing health promotion among individuals. This study aimed to evaluate the performance of several LLM... read more
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