New Flood Risk Model Puts a Price Tag on Flood Defenses Under Uncertainty
Researchers at the Technical University of Munich have developed a computationally efficient probabilistic flood risk model that quantifies the benefit ...
Researchers at the Technical University of Munich have developed a computationally efficient probabilistic flood risk model that quantifies the benefit ...
A new systematic review and benchmark study shows that while genetic algorithms and particle swarm optimization remain reliable workhorses, Gaussian ...
A year-long evaluation of WRF simulations over the North Sea shows that turbulence intensity, a key driver of offshore turbine ...
Researchers have developed an iterative residual correction method that uses new soil profile data to significantly improve the accuracy and ...
Researchers have developed an evidential deep learning framework that detects stroke with near-perfect accuracy while quantifying its own uncertainty in ...
Researchers have adapted a generative diffusion model to downscale coarse global forecasts into 3 km regional predictions across China, outperforming ...
A new machine-learning workflow predicts pore pressure in Jurassic carbonate reservoirs of Pakistan's Kohat Plateau without sonic logs, using calibrated ...
Researchers at NYU Abu Dhabi have created a simple algorithm called the Random Analogue Predictor that forecasts Arctic sea ice ...
A new three-model ensemble framework combining DAYCENT, DNDC, and ECOSYS predicts US corn and soybean yields and soil organic carbon ...
Researchers at Dalian University of Technology combined 1,000 experimental identification runs with reliability-based robust optimization to cut high-speed spindle vibration ...
Success! An email was just sent to confirm your subscription. Please find the email now and click 'Confirm Follow' to start subscribing.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine