New satellite AI detects disasters in near real time

FAYETTEVILLE, GA, UNITED STATES, April 2, 2026 /EINPresswire.com/ -- A new artificial intelligence method enables ...
Frontiers

Deep reinforcement learning-based strategy for enhancing power grid resilience under earthquake disaster scenarios

Extreme events such as earthquakes can readily cause structural damage and operational disturbances in power grids, thereby weakening the system’s supply stability and recovery capability and posing ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
KBTX

Texas A&M researchers use AI, drones to speed up disaster response

BRAZOS COUNTY, Texas (KBTX) - Researchers at Texas A&M University are combining drones and artificial intelligence to help emergency responders make faster decisions during disasters. After severe ...
IEEE

Post-Disaster Damage Analysis Using Deep Learning Techniques and Convolutional Neural Networks (CNNs)

Abstract: In disaster response and recovery, post disaster damage assessment is an important piece that should be done. Damage assessment methods of the traditional ...
IEEE

FSBNet: A Classifying Framework of Disaster Scene for Volcanic Lithology Through Deep-Learning Models

Abstract: Volcanic lithology classification is one of the fundamental tasks in remote sensing investigation of disaster scenes, and deep learning can improve the accuracy and efficiency of ...
Science Daily

Researchers use deep learning to predict flooding this hurricane season

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...
BMJ

Deep learning-based automatic image quality assessment in ultra-widefield fundus photographs

Objective With a growing need for ultra-widefield fundus (UWF) fundus photographs in clinics and AI development, image quality assessment (IQA) of UWF fundus photographs is an important preceding step ...