Molecular classification, particularly the detection of isocitrate dehydrogenase (IDH) mutations and 1p/19q codeletions, has become crucial for accurate diagnosis and prognosis. Artificial ...
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 ...
Abstract: Deep neural network and Machine learning are a latest emerging concept in the field of data science. Due to multi-layer hierarchical feature extraction in conjunction with control variables ...
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 ...
Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
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 ...
As if suspiciously AI-generated descriptions of real estate listings weren’t enough, agents are starting to use AI-generated images of houses that don’t exist to sell expensive properties. The ...
For the fastest way to join Tom's Guide Club enter your email below. We'll send you a confirmation and sign you up to our newsletter to keep you updated on all the latest news. By submitting your ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results