Researchers developed a deep learning framework using SRGAN to enhance GNSS tomography, producing high-resolution, accurate ...

This proof-of-concept study explores the feasibility of inferring liver MRI-PDFF values from contrast-enhanced computed tomography (CECT) using deep learning. In this retrospective, cross-sectional ...

Local contacts help CNN Senior National Correspondent David Culver and team navigate through rival gang territory in Tres Postas, Ecuador, and a top commander agrees to speak to his role in the ...

Scientists used a deep learning algorithm to map the size and location of nearly 94 million boulders on the lunar surface, highlighting differences in boulder densities and size distributions.

Thousands of North Korean IT workers are using stolen and made-up US identities to make hundreds of millions of dollars a year to fund Pyongyang’s military programs.

A new way Burmese python researchers are learning how snakes affect the Florida Everglades Conservationists have tried everything to catch pythons from using traps, tracking devices, robot bunnies ...

Purpose: This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy ...

🍎 Smart Sorting: Rotten vs Fresh Fruit & Vegetable Classification Using Transfer Learning Smart Sorting is a deep learning-powered web application designed to classify microscopic images of fruits ...

Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...