Tag: Machine learning

Researchers report that a random forest model combining EEG features with cerebral blood flow oscillations classified consciousness in severely brain-injured ...

Researchers built an XGBoost-based surrogate model, trained on over a thousand simulated column tests, that predicts the residual hysteretic behavior ...

Researchers in China have developed a graph neural network algorithm that models item, category and author signals from short-term viewing ...

A two-decade machine-learning analysis of Landsat imagery shows vegetation cover in Malawi's Chia Lagoon catchment fell by 189 square kilometres ...

Researchers in Thailand have built an interpretable stacked machine learning framework called Meta-iPPAR that accurately predicts PPAR-γ agonists and identified ...

A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein ...

Researchers have developed an immune cooperative hybrid breeding optimization algorithm that selects features more effectively for intrusion detection, outperforming 13 ...

Researchers used MaxEnt, SVM, and neural network models trained on real check dam and flood records to map optimal conservation ...

Egyptian researchers used CT measurements of the maxillary sinuses and nasal cavity with machine learning to predict sex from human ...

A new review in Artificial Intelligence Review charts four years of development of the Horse Herd Optimization Algorithm, a nature-inspired ...