Tag: Transformer

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

Researchers have developed RL-Axial, a segmentation framework that uses reinforcement learning to decide for each image patch whether to apply ...

A new study tests a Transformer-based physics-informed neural network against support vector regression for forecasting hydrological drought in the transboundary ...

A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...

A new deep learning framework called Epiformer combines the Evo 2 genome language model with a dual-channel network to detect ...

Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...

A transformer-based machine learning model can detect and even predict diffuse cerebral edema in cardiac arrest survivors from routine EEG ...

Researchers have developed a personalized N-of-1 transformer framework that learns an individual's daily behavior patterns from smart home activity logs ...

Researchers used a deep learning model to compress 38 senescence-linked blood proteins into a single SASP Score that predicts mortality, ...

A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein ...