Tag: deep learning

Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...

New open-source software uses deep learning to automate the quantitative assessment of Fusarium root rot in cereal seedlings, overcoming the ...

A new study evaluates a hybrid quantum algorithm for ECG arrhythmia classification, finding it competitive at moderate resolutions but lacking ...

Researchers in Pune have built a Dual GAN–Diffusion generative learning system that synthesizes realistic, diverse pomegranate disease images from field-acquired ...

Researchers have unveiled MiRAGE, a parameter-efficient AI framework that adapts its computational depth to each satellite image and uses CLIP ...

Researchers in India built a transformer-based deep learning system to detect anomalies in solar-wind power plants, achieving strong reconstruction accuracy ...

Three deep learning architectures trained on dermoscopic images reached the same band of accuracy yet differed by more than fourfold ...

A hybrid deep learning model combining CNN and bidirectional LSTM networks can identify MOOC students at risk of dropping out ...

A new meta-analysis of 18 studies finds that deep learning applied to dynamic contrast-enhanced breast MRI achieves 90 percent sensitivity ...

A new RGB-depth salient object detection framework combines multi-level attention-based feature fusion with a WebP compression and denoising defense that ...

A neural architecture search framework called CMS-NAS automatically evolves hybrid convolutional, Mamba and spiking network designs for lightweight, accurate EEG-based ...

A new study shows that synthetic relative T1/T2 maps reconstructed from routine MRI sequences modestly but consistently improve U-Net-based segmentation ...

A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...

Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...

A new multi-modal AI method pairs structured text descriptions generated by a large language model with image analysis to identify ...

Researchers at Sun Yat-sen University have developed an improved convolutional prototype network that classifies known environmental sounds and rejects unknown ...

A new benchmark study shows that simple linear imputation methods outperform deep learning models when realistic spatio-temporal missingness is simulated ...

A hybrid deep learning and complex network study reveals that the Palestinian-Israeli and Russia-Ukraine conflicts tightened and restructured the correlation ...

A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung ...

Every year, acute lymphoblastic leukemia claims thousands of lives, many of them children, and the first clue to its presence ...