Results 161 to 170 of about 87,896 (215)

Predicting pavement cracking performance using laser scanning and geocomplexity‐enhanced machine learning

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Transport infrastructure is vulnerable to crack formation and deterioration due to aging and repetitive loading. Accurate and timely crack assessment and prediction are crucial for effective road maintenance, but existing studies often rely on individual indicators such as crack types, attributes, and severity, which fail to capture the full ...
Chunjiang Chen   +7 more
wiley   +1 more source

Signal noise estimation and removal of sub‐mm 3D pavement texture data using 1D residual denoising network

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Signal noise removal is an indispensable and critical procedure in obtaining clean pavement texture data for reliable pavement evaluation and management. Nevertheless, the presently established denoising approaches to pavement texture data still rely on traditional techniques that have long struggled with removing noise accurately and ...
Guolong Wang   +4 more
wiley   +1 more source

Fast, parallel, and cache-friendly suffix array construction. [PDF]

open access: yesAlgorithms Mol Biol
Khan J   +4 more
europepmc   +1 more source

Model pluralism for logic

open access: yesNoûs, EarlyView.
Abstract It is well‐recognized in the sciences that a multitude of nonequivalent models are used by researchers to fulfill a range of goals, even for the same target system, a result known broadly as model pluralism. The possibility of the same form of pluralism occurring in logic, however, has not been adequately considered.
Ben Martin
wiley   +1 more source

Real‐Time Data, Revisions and the Predictive Ability of DSGE Models

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT We evaluate the impact of real‐time macroeconomic data and data revisions on the forecasting performance of DSGE models in the US and the euro area. We identify significant differences in data revisions between the two world regions: Negative revisions (due to overestimation in early data releases) are prevalent in the US, while the euro area ...
Jan Čapek   +3 more
wiley   +1 more source

Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species

open access: yesPlant Biotechnology Journal, EarlyView.
Summary Increased drought frequency and severity in a warming climate threaten the health and stability of forest ecosystems, influencing the structure and functioning of forests while having far‐reaching implications for global carbon storage and climate regulation.
Ziyang Zhou   +4 more
wiley   +1 more source

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