Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
For more than three decades, researchers studying genomes have relied on foundational resources such as Repbase and, more ...
Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Research from Poland adds to evidence from Latin American countries that compounds in used cigarette butts ward off parasites in bird nests. By Lesley Evans Ogden Darwin’s finches in the Galápagos, ...
Abstract: The classification of multiple food items within a single image remains a significant challenge in computer vision due to occlusion, lighting variations, and diverse food appearances. This ...
ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...
This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
This project provides a non-invasive system to predict a person’s ABO/Rh blood group from their fingerprint image using deep learning. The solution combines advanced CNN modeling, non-invasive data ...
Abstract: The classification of agricultural crops such as cassava, corn, rice, and sugarcane is crucial for efficient data collection and decision-making. However, the limited availability of labeled ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results