Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework.
Results of an artificial intelligence–based tool to predict financial toxicity early to facilitate early referral to hospital social workers. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
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