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Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

Urban growth has reshaped land use patterns globally, demanding robust and scalable methodologies to monitor its long-term dynamics. This study proposes a GeoAI-based framework that integrates Random Forest (RF) classifi...

Abstract The increasing number of Internet of Things (IoT) devices demands a rigid and adaptive routing methodologies to ensure the reliable communication especially for the low-power and lossy networks. The Routing Prot...