A retrospective study of 420 children in the Turkish forensic psychiatric system revealed distinct clinical profiles between victims and alleged ...
Researchers evaluated eight machine learning models on high-performance concrete mixtures, demonstrating that optimized gradient boosted algorithms and interpretability frameworks accurately ...
A comprehensive modeling study in Madhya Pradesh reveals that gradient-boosting ensembles outperform complex deep neural architectures in regional wildfire susceptibility ...
Researchers evaluated an Aquila-optimized gradient boosting model to predict the rutting factor of sulfur-modified bitumen, finding strong development accuracy alongside ...
A study of Thai cytopenic patients found that noninvasive scoring models can accurately identify individuals at low risk of myeloid ...
A study in Brazil developed machine learning models and nomograms to predict breast cancer survival using population-based registry data, with ...
A new machine learning model developed by researchers predicts the risk of recurrence in patients with borderline ovarian tumors undergoing ...
Researchers developed an integrated remote sensing and machine learning framework that accurately predicts species-level plant air pollution tolerance across Thailand ...
A rigorous re-evaluation reveals that reported near-perfect loan default predictions stemmed from data leakage rather than advanced deep learning models.
A systematic review of 42 studies finds machine learning applications to satellite carbon data have surged since 2024, dominated by ...
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