One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...
Abstract: Effective and real-time facial expression detection is becoming increasingly crucial in affective computing, intelligent user interfaces, and mental health screening to comprehend human ...
Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
Abstract: Workplace stress is a significant concern, affecting employees' mental and physical well-being. This research proposes a CNN-GRU-based model for workplace stress detection using facial ...
Abstract: To enhance the accuracy of short-term power load forecasting, this paper proposes a hybrid prediction model based on the Snow Ablation Optimization (SAO) algorithm, integrating Convolutional ...
Abstract: Line-Commutated Converter High Voltage Direct Current (LCC HVDC) is a prominent method for HVDC power transmission. This paper addresses the fault identification challenge in LCC HVDC ...
Human evolution’s biggest mystery, which emerged 15 years ago from a 60,000-year-old pinkie finger bone, finally started to unravel in 2025. Analysis of DNA extracted from the fossil electrified the ...
Abstract: In order to enhance the prediction speed of the transformer vibration recognition diagnostic algorithm, as well as to improve recognition accuracy in low signal-noise ratio environments, a ...
Abstract: Driven by the strategic goals of carbon peak and carbon neutrality, photovoltaic (PV) power generation has developed rapidly. However, PV power stations are prone to failures such as ...
Abstract: Using ultrasonic guided wave (UGW) technology to realize on-line crack damage identification of T-welded steel has been a research hotspot in recent years. However, in practical engineering ...
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