Long before digital research went mainstream, there were ‘stacks,’ euphemistic identifiers for voluminous works, published and unpublished, that resided mostly in dusty research libraries without ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...

Adaptive Ensemble Learning Framework Enhances Wetland Vegetation Classification Accuracy Adaptive Ensemble Learning Framework Enhances Wetland Vegetation Classification Accuracy December 25th, 2025 ...

Karst wetlands are globally significant ecosystems that regulate water, store carbon, and harbor rich biodiversity. However, the intricate vegetation composition and similar canopy spectra among ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ensemble learning (AEL-Stacking) framework that ...

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone ...

1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China 2 Sichuan Lexi Expressway Co., Ltd., Chengdu, Sichuan, China ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Major challenges in toxicity prediction include dealing with imbalanced and limited ...