Morning Overview on MSN

UCLA uses deep learning to map kelp and protect California coasts

Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates statewide kelp canopy maps for California, processing tens of thousands of ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
Frontiers

Soft Computing and Machine Learning Applications for Healthcare Systems

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
Devdiscourse

AI-powered flood mapping could transform disaster preparedness worldwide

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...
EurekAlert!

Jeonbuk National University researchers develop DDINet for accurate and scalable drug-drug interaction prediction

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...
IEEE

A Deep Stochastic Adaptive Fourier Decomposition Network With Back-Propagation for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
IEEE

Sports Image Classification Using Deep Learning Models

Abstract: This research explores a deep learning-based approach to sports image classification using four convolutional neural network (CNN) models: VGG-16, VGG-19, Xception, and EfficientNetB7. The ...