An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Extracting valuable information from large sets of diverse meteorological data is a time-intensive process. Machine-learning methods can help to improve both speed and accuracy of this process.

Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through ...

Workflow for Real-Time Sludge Moisture Content Prediction Using Deep Learning. This figure illustrates the workflow for predicting sludge moisture content using deep learning. The process begins with ...

Estimation of organ doses from internal and external exposures in health physics depends on computational models of the human body (phantoms), and Monte Carlo calculations ─ two tools that have seen ...