Tag: multi-task learning

A new multi-task AI framework called TAZD-Net segments thyroid nodules and predicts malignancy by explicitly reasoning over the lesion, its ...

A new multi-scale deep learning framework called Rain-PostEFNet substantially improves numerical weather prediction rainfall forecasts, with the largest gains in ...

A deep learning model trained on nearly 30,000 retinal images predicts biological age from eye scans, revealing that smoking, diabetes, ...

A multi-task deep learning framework can estimate more than a dozen crop photosynthetic traits simultaneously from hyperspectral images with record ...

Researchers have developed MLFQ-Hybrid, a deep learning framework that adapts the operating system concept of multi-level feedback queues to improve ...

Researchers have developed a Sichuan pepper picking robot that combines multi-task visual perception, PCA-based pose estimation, and a flexible swallowing ...

Researchers in Shanghai have developed a multi-task deep learning model that estimates the age of rib fractures on chest CT ...

Researchers in China have developed a transparent deep learning framework called MDANet that accurately predicts the dynamic behavior of a ...

Researchers have developed an AI framework that fuses seven transformation domains of a document image with attention mechanisms and fine-grained ...

Researchers at Hanoi University of Science and Technology have developed a fuzzy-set-based hesitation score that makes multi-task AI models robust ...