Tag: convolutional neural network

A combined DFT and machine learning study maps how the carbon–fluorine bond in tetrafluoromethane breaks across transition metal surfaces, single-atom ...

A case study of the Damiao–Hongshila belt shows geographically weighted models improve mineral prospectivity mapping under spatially non-stationary conditions.

A two-stage diffusion framework with automated assessment generated a gymnasium field-level plan for a Xiong'an campus project that researchers report ...

A multi-scale 3D-CNN tuned by a quantum-inspired metaheuristic optimizer classified eight basketball tactical patterns from player tracking data with 94.3% ...

A wrist-worn motion sensor and a compact neural network detected prosthetic hand contact with 99.1 percent accuracy in lab tests.

A compact deep-learning model called minisplice learns splice signals across vertebrates and insects and, when integrated into minimap2 and miniprot, ...

A four-stage hybrid framework combining convolutional spectral compression, a Transformer encoder, and U-Net spatial extraction reports 99.85% overall accuracy on ...

A new study combined SEM, XRD and NMR pore characterization with six machine-learning models on 37,227 well-log records, finding that ...

A lightweight dual-branch AI framework called NeuroCST classified Alzheimer's disease stages from MRI scans with 98.42 percent accuracy while using ...

A Vision Transformer and a convolutional neural network identified Laguerre-Gaussian beam topological charges up to 50 from tiny speckle patches, ...