Tag: Machine learning

A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...

Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...

A UMass Amherst-led team has developed a wrist-worn accelerometer and machine-learning algorithm that continuously tracks upper-limb motor impairment after stroke ...

A pilot study has shown that an artificial intelligence algorithm paired with standard 3D clinical imaging can generate reproducible numerical ...

Researchers have unveiled an Optimize-to-Optimize machine-learning workflow that uses rules distilled from 275 stable low-entropy chloride double perovskites to guide ...

A new hybrid extreme learning machine framework predicts seismic soil liquefaction with near-perfect accuracy while using explainable AI to reveal ...

A new graph neural network method called GLASS filters unreliable splice alignments in long-read RNA sequencing data, improving the precision ...

A new narrative review finds that classical statistical models and rigorous validation pipelines often outperform sophisticated deep learning in sports ...

Researchers trained five machine learning models on 3,185 measurements to predict the refractive index of surfactant-containing lithium bromide solutions with ...

An integrated framework combining LSTM deep learning, explainable AI, and NSGA-III multi-objective optimization predicts drilling speed gains of up to ...