Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
AZoM

Why Deep Learning De-Noising is a Game Changer for X-Ray Technology

Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...
IEEE

Dance Video Analysis System Based on YOLO Pose and CNN+LSTM Deep Learning Models

Abstract: The development and popularization of artificial intelligence and deep learning have driven the development of human pose recognition. Video analysis of human body posture has become a ...
IEEE

Deep Learning Based Anchor Model Used to Classify the Fruit by Using the Digital Image

Abstract: One of the cornerstones of processer vision is visual object recognition based on deep learning. Bounding boxes are also detected by these models, in addition to locating and classifying ...
CNN

‘Like Prime, but with human beings’: How the Trump administration is using AI to ramp up immigration enforcement

The Trump administration is sharply expanding its use of artificial intelligence in immigration enforcement, using technology not just to track migrants but also to help determine who gets targeted ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...