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 ...
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 ...
It is a mix of MIT and the official DINOv3 License. All the codebase in this repository are completely open and can be used for research, education, and commercial purposes freely. The models trained ...
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