A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...
Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...
Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...
⚠️ Some aerodynamic and inertial values are estimated or assumed based on academic literature, public data, or similar vehicles. Lateral-directional derivatives for 6DOF simulation are particularly ...
Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...
• 🖼️ Whole-slide image processing: Load and preprocess whole slide images (WSIs) easily. • 🧩 Patch generation: Automatically generate patches from WSIs in parallel. • 🧠 Foundation models: Use ...
The geological structure of buried hill reservoirs is highly complex. This study aims to develop a new reservoir fluid identification method for buried hill reservoirs by integrating nuclear magnetic ...
Abstract: Limited by the lack of supervisory information of unknown classes, the existing open set cross-domain hyperspectral image (HSI) classification methods often rely on threshold-based methods ...
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