Results 171 to 180 of about 384,953 (220)

Tangent space functional reconfigurations in individuals at risk for alcohol use disorder. [PDF]

Netw Neurosci
Moghaddam M, Dzemidzic M, Guerrero D, Liu M, Alessi J, Plawecki MH, Harezlak J, Kareken DA, Goñi J.   +8 more
europepmc   +1 more source

Insights Into Dendritic Growth Mechanisms in Batteries: A Combined Machine Learning and Computational Study

Battery Energy, EarlyView.
Dendritic growth in batteries presents challenges to both performance and safety. In this study, we have successfully developed a two‐dimensional artificial neural network model that accurately identifies consistent growth modes observed in experimental data.
Zirui Zhao, Junchao Xia, Si Wu, Xiaoke Wang, Guanping Xu, Yinghao Zhu, Jing Sun, Hai‐Feng Li   +7 more
wiley   +1 more source

Optimal Choice of the Regularization Parameter for Direct Identification of Polymers Relaxation Time and Frequency Spectra. [PDF]

Polymers (Basel)
Stankiewicz A, Bojanowska M.
europepmc   +1 more source

On regular and intra-regular poe-semigroups

Semigroup Forum, 1984
openaire   +3 more sources

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention. [PDF]

Sci Rep
Wu J, Lin J, Jiang X, Zheng W, Zhong L, Pang Y, Meng H, Li Z.   +7 more
europepmc   +1 more source

Practical assessment of masonry tunnel joint segmentation using topological machine learning

Civil Engineering Design, EarlyView.
Abstract Condition assessment of masonry lined tunnels is time consuming and labor intensive. Recently developed digital workflows enable structural models to be created automatically, reducing analysis time. As part of these procedures, it is important to be able to identify the location of each masonry block.
Jack Smith, Chrysothemis Paraskevopoulou
wiley   +1 more source

STAGE framework: A stock dynamic anomaly detection and trend prediction model based on graph attention network and sparse spatiotemporal convolutional network. [PDF]

PLoS One
Shi M, Mohamad Rasli R, Wang SL.
europepmc   +1 more source

Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates

Canadian Journal of Statistics, EarlyView.
Abstract In this article, we consider the imputation of missing responses in a longitudinal dataset via matrix completion. We propose a fixed‐effect, longitudinal, low‐rank model that incorporates both subject‐specific and time‐specific covariates. To solve the optimization problem, a two‐step optimization algorithm is proposed, which provides good ...
Zhaohan Sun, Yeying Zhu, Joel A. Dubin
wiley   +1 more source

Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition. [PDF]

Sci Rep
Kordani M, Bagheritabar M, Ahmadianfar I, Samadi-Koucheksaraee A.   +3 more
europepmc   +1 more source