New AI Model Spots Crop Diseases With Unusual Accuracy in Complex Fields
A new detection framework combines hybrid attention, a slim dynamic head, and a novel loss function to spot crop diseases ...
A new detection framework combines hybrid attention, a slim dynamic head, and a novel loss function to spot crop diseases ...
Researchers have built a formal possible-world semantics for rough set theory under incomplete information, deriving similarity relations and three-way decisions ...
Every time you scroll through a photo feed, watch a video, or browse a product catalog, you generate data that ...
Researchers at Sichuan University have developed a collaborative framework that combines multi-window concept drift detection with an evolving fuzzy system ...
Researchers at Anhui University have developed KVCB, a key-value cache merging method that compresses large language model memory by fusing ...
Researchers have introduced DACD, a dynamic adaptive learning method that detects concept drift in streaming data with a window-based CUSUM ...
Researchers at Institute of Science Tokyo have developed ITCD, a two-stage diffusion model with trajectory constraints that fills missing values ...
Researchers at Shanghai Jiao Tong University have developed a fault diagnosis framework that uses recurrent attentional reinforcement learning to adaptively ...
Researchers at Yanshan University have developed ADPOD, an outlier detection algorithm that improves density-peak clustering with an affinity-based density measure, ...
A new generative protocol called BridgeProt achieves top accuracy and perfect structural validity in emotion-cause pair extraction by verifying each ...
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© 2025 Scienmag - Science Magazine