Researchers used vision language models to generate and evaluate counterfactual street view panoramas, revealing how visible litter, structural defects, and ...
Researchers have developed a minimally intrusive reduced order modeling technique that pairs machine learning with proper orthogonal decomposition to accurately ...
A computational study using decision-theoretic agents demonstrates that adding idiosyncratic risk premiums to geothermal discount rates sharply erodes expected project ...
A comparative analysis reveals that non-intrusive convolutional autoencoders capture nonlinear mechanical strains in metal additive manufacturing more accurately than traditional ...
A mathematical modeling study demonstrates that partial vaccination reduces malaria burden but requires vector control to drive transmission below the ...
A joint probabilistic assessment framework combining dual dynamic indicators with parameter uncertainty significantly improves high-hazard zone identification for long-runout alpine ...
A 30,000-simulation rotary inverted pendulum benchmark found that statistically detectable controller differences often failed to produce a unique engineering preference.
Researchers trained XGBoost machine learning models on automated finite element simulations to predict how special threaded connections respond to combined ...
Researchers in China have developed an evolutionary algorithm that classifies decision variables into convergence and diversity roles and uses a ...
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