Abstract: The proliferation of onshore wind farms, characterized by complex collector networks and inverter-based resources (IBRs), introduces significant challenges for conventional fault diagnosis ...
A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...
North Korea on Thursday released new images of what it claims is its first nuclear-powered submarine, a massive vessel equal in size to some of the United States Navy’s attack subs. The pictures ...
Abstract: Image classification is a core problem in computer vision and is related to the diagnosis of diseases, autonomous navigation, and intelligent surveillance. With the explosion of data and ...
Moving cannabis to a category of drugs that includes some common medicines will have implications for research, businesses and patients. By Jan Hoffman President Trump on Thursday ordered cannabis to ...
Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model that can turn 2D images into 3D scenes in a second. Here's what the ...
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