Ensemble deep learning models enhance early diagnosis of Alzheimer's disease using neuroimaging data
EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...
From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...
Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
Real-world data in Japan for the variants in homologous recombination gene on the etiology of gastric cancer in younger and older patients. This is an ASCO Meeting Abstract from the 2024 ASCO Annual ...
Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
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