Tag: convolutional neural networks

A comprehensive review of a decade of road scene parsing reveals that while drivable surface detection is well-solved, detecting road ...

Researchers have developed an edge-computing framework combining three-dimensional convolutional neural networks with adaptive swarm optimization to classify land cover directly ...

A network meta-analysis of fifty-nine diagnostic studies reveals that multimodal deep learning achieves the highest diagnostic accuracy for gastric cancer ...

An attention-enhanced ResNet-50 deep learning model achieved an accuracy of 0.833 and an area under the curve of 0.855 when ...

A review details how deep learning models resolve missing wedge artifacts and background noise to achieve picometer-precision three-dimensional atomic electron ...

A hierarchical federated learning architecture integrating semi-asynchronous client uploads and scheduled cloud synchronization cut training time by 52 percent while ...

A deep learning pipeline combining cine magnetic resonance imaging and scar size accurately differentiated hypertrophic cardiomyopathy from hypertensive heart disease ...

Researchers have developed BrainFusionNet, a deep learning architecture that integrates convolutional layers, vision transformers, and recurrent units to classify brain ...

A multimodal deep learning framework developed at Cairo University combined chest radiographs with 45 structured anatomical landmark features to achieve ...

A deep learning framework combining bird swarm optimization with adaptive image segmentation achieved 99.05 percent accuracy in detecting pulmonary tuberculosis ...