Tag: Machine learning

Researchers have combined deep reinforcement learning with evolutionary computation to create an algorithm that adaptively selects genetic operators and transfers ...

Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to ...

Machine learning models can classify high versus low working memory capacity with over 94 percent accuracy using only eye-tracking and ...

A new XGBoost-SHAP analysis of five decades of data shows that elevation and the temporal concentration of rainfall, not total ...

Chinese researchers have developed an attention-based stacking ensemble that reads Landsat 9 imagery to predict soil organic carbon more accurately ...

Researchers have built the first spatial atlas of dermal backflow in breast cancer-related lymphedema from 282 patients and shown that ...

A two-center study shows that an MRI-based radiomics nomogram using a multilayer perceptron classifier can distinguish malignant from benign orbital ...

A new study combines neural network analysis of aeromagnetic derivatives with 3D magnetic inversion to map hidden fault corridors and ...

A network meta-analysis of 129 randomised controlled trials combined with machine learning finds interval aerobic training and combined aerobic-resistance programmes ...

A new study shows that lightweight transformer models can automatically classify the roles participants play in cyberbullying episodes, setting a ...