A theoretically-consistent parallel enrichment strategy for Bayesian active learning reliability analysis

Adaptive virtual modelling enhanced dynamic and reliability analysis of SGPLRP-MEE plates

Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework

Parallel Multifidelity Design of Experiment Strategy Considering Low-Fidelity Simulation Feasibility

SelectSeg: Uncertainty-based selective training and prediction for accurate crack segmentation under limited data and noisy annotations

A state-of-the-art analysis on decomposition method for short-term wind speed forecasting using LSTM and a novel hybrid deep learning model

Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions

Advanced virtual modelling aided stochastic nonlinear dynamic stability analysis of the GPLR-FGP plate in thermal environments

Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach

Bilevel optimization of non-uniform offshore wind farm layout and cable routing for the refined LCOE using an enhanced PSO

Fluid-structure interaction analysis of wind turbine aerodynamic loads and aeroelastic responses considering blade and tower flexibility

Numerical study of dynamic amplification factor and characteristic wind curves of high-speed train in tornado-like vortices

Surge-NF: Neural Fields inspired peak storm surge surrogate modeling with multi-task learning and positional encoding

TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment

TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics

Time series forecasting of pedestrian-level urban air temperature by LSTM: Guidance for practitioners

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models

A flexible proton beam imaging energy spectrometer (PROBIES) for high repetition rate or single-shot high energy density (HED) experiments

Laminar flow over a rectangular cylinder experiencing torsional flutter: Dynamic response, forces and coherence modes

Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

Multi-fidelity Parallel Sequential Design Strategy under Classification Constraints for CFD-based Structure Shape Design

A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage

Accelerating the rate of discovery: Toward high-repetition-rate HED science

Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery Workflows

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data

A Winning Hand: Compressing Deep Networks can Improve Out-Of-Distribution Robustness

Inferring fracture aperture distribution at the EGS Collab Experiment 1 testbed through a deep learning accelerated Bayesian approach

Adaptive design of experiments for global Kriging metamodeling through cross-validation information

Evolutionary Multi-Objective Optimization under Uncertainty through Adaptive Kriging in Augmented Input Space

Geospatial Environments for Hurricane Risk Assessment: Applications to Situational Awareness and Resilience Planning in New Jersey

Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition

A statistical mechanics framework for task-agnostic sample design in machine learning

Applications of reduced order and surrogate modeling in structural dynamics

Developments in storm surge estimation using surrogate modeling techniques

Interpretation of tracer data using a Markov chain Monte Carlo approach for the characterization of the EGS Collab testbed

Mix-n-match: Ensemble and compositional methods for uncertainty calibration in deep learning

Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection

Bayesian model averaging for Kriging regression structure selection

Multi-objective optimization for design under uncertainty problems through surrogate modeling in augmented input space

Accelerated MCMC combining metamodel-based independent proposals and delayed rejection

Multi-objective design under uncertainty using a Kriging-based evolutionary optimizer

Adaptive Kriging Stochastic Sampling and Density Approximation and its Application to Rare-Event Estimation

Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change

Bayesian posterior sampling using a metamodel-based sequential approach

Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space

Duplicate report detection in urban crowdsensing applications for smart city

Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection

Article

Bayesian model averaging for Kriging regression structure selection

Article

Multi-objective optimization for design under uncertainty problems through surrogate modeling in augmented input space

Article

Accelerated MCMC combining metamodel-based independent proposals and delayed rejection

Conference paper

Multi-objective design under uncertainty using a Kriging-based evolutionary optimizer

Conference paper

Adaptive Kriging Stochastic Sampling and Density Approximation and its Application to Rare-Event Estimation

Article

Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change

Article

Bayesian posterior sampling using a metamodel-based sequential approach

Conference paper

Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space

Article

Duplicate report detection in urban crowdsensing applications for smart city

Conference paper