Tag: Machine learning

A new bioinformatics and experimental study identifies twelve candidate genes for polycystic ovary syndrome and shows that the metabolic enzyme ...

A new review maps how machine learning, molecular docking and subtractive genomics are being combined to explain drug resistance in ...

A machine learning analysis of 349 lung adenocarcinoma cases identified a 40-lncRNA signature that separated patients by overall survival and ...

Researchers report a graph contrastive learning framework called COIN that combines continuous orthogonal augmentation with an information-balancing training principle and ...

An explainable Kolmogorov-Arnold Network optimised by the Marine Predators Algorithm predicted six mechanical and durability properties of PET- and rice-husk-ash-blended ...

Researchers have built an open-source Python library that scores synthetic EEG data across fidelity, diversity and privacy using interpretable, real-data-normalised ...

Researchers report an AI model combining CNN feature extraction and a spiking neural network that classifies microscopic fabric defects with ...

A new physics-informed neural network embeds a structure's natural frequencies into its architecture, cutting seismic response prediction errors below 2 ...

A hybrid vision transformer-CNN model detected epileptic seizures in pediatric EEG recordings with 99.8 percent average sensitivity while quantitatively explaining ...

A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports over 92 percent accuracy in detecting ...