The integration of wearable sensors and IoT technology provides new technical means for sports activity monitoring. However, existing solutions still have deficiencies in joint spatiotemporal feature modeling, edge-side lightweight deployment, and se... read more
Ore particle size distribution is an important metric for evaluating blasting outcomes and affects the energy consumption of ore crushing equipment. Faced with dense accumulation of ore, nonuniform size distributions, dust occlusion, and target loss ... read more
This paper presents a three-phase deep learning framework comprising (i) multi-modal data acquisition from drones and satellites, (ii) standardized pre-processing including interpolation for missing temporal data, and (iii) CNN-based feature extracti... read more
New technologies in human emotion recognition (HER) have drawn considerable attention to use in the fields of security, intelligent customer service, healthcare, educational, human-robot interaction (HRI), and adaptive system training. To identify hu... read more
Accurate sentence similarity estimation is a fundamental requirement in Automated Evaluation Systems (AES), where reliable semantic alignment directly impacts grading fairness and consistency. While transformer-based Sentence Similarity Tools (SSTs) ... read more
Understanding and optimizing industrial energy systems requires datasets that capture detailed electrical behavior at high temporal resolution over long time periods. Such data are essential for analyzing power quality, identifying operational patter... read more
To mitigate the environmental challenges posed by pollution and climate change, researchers are increasingly focused on developing highly efficient, emission-free transportation and energy systems. Electric Vehicles (EVs) implementation resolves the ... read more
Industrial welding often exhibits some essential problems, such as unclear defect characteristics and complex background information. However, the existing defect detection models have relatively high costs and may be weak in weld surface defect dete... read more
Effective identification and forecasting of Convective Initiation (CI) are crucial for the early warning of severe convective weather. Artificial intelligence (AI) has significant potential in CI forecasting and warning. This study presents a dataset... read more
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