A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
Abstract: Road network information is a core component of online maps and plays a crucial role in navigation, urban planning, and traffic management. Convolutional neural networks (CNNs) have ...
Abstract: Air pollution is a vital environmental and public health issue responsible for millions of early deaths worldwide every year. Predicting air quality and associated health impacts is crucial ...
1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...
4.1 第一段中有错误。The feature extractor ℱ is a 7-layer 1-D convolutional neural network with kernel sizes (5,2,2,2,2,2,2) and strides (10,3,3,3,3,2,2),实际上应该为The feature extractor ℱ is a 7-layer 1-D ...
BNY Pershing has launched a financial advisor growth network intended to support breakaways in going independent. The Advisor Growth Network, or AGN, is one of the announcements coming out of BNY ...
Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
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