Results 221 to 230 of about 3,213,103 (353)

Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology. [PDF]

Nat Mach Intell
Badkul A, Xie L, Zhang S, Xie L.
europepmc   +1 more source

Solution Verification Validation and Uncertainty Quantification for a series of gas cell experiments at NRL.

, 2016
Keith Cartwright
openalex   +1 more source

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

Advanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti, Andrea Cimolato, Noemi Gozzi, Pietro Palopoli, Luca Brugnoli, Natalija Katic Secerovic, Rebecca Gallivan, Alexander Shokurov, Carlo Menon, Johannes Weichart, Ignacio Delgado‐Martinez, Weiguo Song, Stavros Zanos, Xavier Navarro, Stanisa Raspopovic   +14 more
wiley   +1 more source

STAC-Net: A hierarchical framework for modeling and predicting urban traffic flow with uncertainty quantification. [PDF]

PLoS One
Yan Z, Cai B.
europepmc   +1 more source

Dynamical system identification, model selection, and model uncertainty quantification by Bayesian inference [PDF]

Robert K. Niven, Laurent Cordier, Ali Mohammad‐Djafari, Markus Abel, Markus Quade   +4 more
openalex   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Mamba time series forecasting with uncertainty quantification. [PDF]

Mach Learn Sci Technol
Pessoa P, Campitelli P, Shepherd DP, Ozkan SB, Pressé S.   +4 more
europepmc   +1 more source

Quantifying Deep Learning Model Uncertainty in Conformal Prediction

, 2023
Hamed Karimi, Reza Samavi
openalex   +2 more sources

Geometry‐Dependent Adhesion in Transparent Monodomain Liquid Crystal Elastomers

Advanced Functional Materials, EarlyView.
Liquid Crystal Elastomers (LCEs) are emerging as exciting pressure‐sensitive adhesives. We examine adhesion in chemically identical elastomer films, exploring the influence of geometry (director orientation) and phase (nematic or isotropic). We demonstrate the potential of these aligned films as transparent, tunable, broad‐temperature‐range smart ...
Aidan Street, Devesh Mistry, Johan Mattsson, Helen F. Gleeson   +3 more
wiley   +1 more source

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification. [PDF]

Proc Conf Empir Methods Nat Lang Process
Kruse M, Afshar M, Khatwani S, Mayampurath A, Chen G, Gao Y.   +5 more
europepmc   +1 more source