ABSTRACT Design optimization for automatically generating optimal design results is a promising technique for enhancing the efficiency of design processes and outcomes. However, its development for soil nail reinforced slopes is limited since the traditional slope stability analysis using the limit equilibrium method (LEM) becomes relatively time ...
Weihang Ouyang, Kai Liu, Si‐Wei Liu
wiley +1 more source
Evaluation of Large Language Models for Peer Review in Transplantation Research: Algorithm Validation Study. [PDF]
Shen SM +5 more
europepmc +1 more source
An Exact Method for Reliable Shortest Path Problems With Correlation
ABSTRACT Shortest path problems often arise in contexts where travel times are uncertain. In these settings, reliable paths are often valued more than paths with lower expected travel times. This has led to several variants of reliable shortest path problems (RSPP) that handle travel time reliability differently. We propose an algorithmic framework for
Esteban Leiva +3 more
wiley +1 more source
Relative timing and coupling of neural population bursts in large-scale recordings from multiple neuron populations. [PDF]
Olarinre M, Siegle JH, Kass RE.
europepmc +1 more source
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid +2 more
wiley +1 more source
Pastrami: a fast and efficient algorithm for fine-scale genetic ancestry inference. [PDF]
Conley AB +5 more
europepmc +1 more source
Solving for Blameless and Optimal Control Under Prioritized Safety Constraints
Summary of the proposed method for solving for blameless and optimal control sequences. ABSTRACT In many safety‐critical optimal control problems, users may request multiple safety constraints that are jointly infeasible due to external factors such as subsystem failures, unexpected disturbances, or fuel limitations.
Natalia Pavlasek +3 more
wiley +1 more source
Privacy-preserving AUC computation in distributed machine learning with PHT-meDIC. [PDF]
de Arruda Botelho M +4 more
europepmc +1 more source
Applying Dynamics/Cost Parameter Continuation to the Optimal Guidance of Variable‐Speed Unicycle
(a) Classical parameter continuation method diverges. (b) Dynamics/cost parameter continuation method converges. ABSTRACT The problem of a variable‐speed unicycle guidance to the stationary target is considered. The vehicle should be guided to the origin while minimizing the energy loss due to the induced drag.
Gleb Merkulov +2 more
wiley +1 more source
Frag'n'Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments. [PDF]
Szepesi-Nagy I +5 more
europepmc +1 more source

