Tag: classification

A study evaluating four artificial intelligence models found that classification fidelity for endodontic exam questions varied significantly across educational taxonomies.

A deep learning framework incorporating dynamic directed graph propagation achieved up to 89.21 percent diagnostic accuracy across large Alzheimer's and ...

A deep learning framework named TransCRNN integrates convolutional networks, recurrent units, attention layers, and transformers with handcrafted acoustic features to ...

A collider simulation study finds that Kolmogorov–Arnold Networks match the classification performance of multilayer perceptrons without improving parameter efficiency, though ...

Researchers developed age-specific machine learning models using national survey data to accurately classify atopic dermatitis while revealing divergent dietary antioxidant ...

Researchers developed an explainable machine learning framework using routine clinical and biochemical data to accurately classify hepatocellular carcinoma in Vietnamese ...

A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging accuracy from computed tomography scans.

A new machine learning system uses humidity and temperature data to optimize zeolite quantities for safer fireworks storage, with Logistic ...

Researchers have introduced ClinFusion-Net, a hybrid deep learning model combining convolutional networks and vision transformers for explainable gastrointestinal disease classification.

A new algorithm called Dynamic Sub-Sequence Warping improves the speed and accuracy of time series classification by using a representation-based ...