Results 1 to 10 of about 11,644 (223)

Improving deep learning model performance under parametric constraints for materials informatics applications [PDF]

Scientific Reports, 2023
Modern machine learning (ML) and deep learning (DL) techniques using high-dimensional data representations have helped accelerate the materials discovery process by efficiently detecting hidden patterns in existing datasets and linking input ...
Vishu Gupta, Alec Peltekian, Wei-keng Liao, Alok Choudhary, Ankit Agrawal   +4 more
doaj   +2 more sources

From Reliability Modelling to Cognitive Orchestration: A Paradigm Shift in Aircraft Predictive Maintenance

Mathematics
This study formulates predictive maintenance of complex technical systems as a constrained multi-layer probabilistic optimization problem that unifies four interdependent analytical paradigms.
Igor Kabashkin, Timur Tyncherov
doaj   +1 more source

Rank-Based Copula-Adjusted Mann–Kendall (R-CaMK)—A Copula–Vine Framework for Trend Detection and Sensor Selection in Spatially Dependent Environmental Networks

Mathematics
A Rank-Based Copula-Adjusted Mann–Kendall (R-CaMK) is proposed, with an end-to-end mathematical and computational framework that integrates rank-based multivariate dependence modelling (regular vines where data permit, Gaussian copula fallback otherwise),
Khaled Haddad
doaj   +1 more source

Identifying contributing-factor configurations in reported bed falls: a Bayesian network–based exploratory study

Frontiers in Public Health
ObjectiveThis study aimed to explore the conditional dependency structure of contributing factors related to bed falls and to identify stable dependency configurations within reported bed falls incident reports using Bayesian network analysis.MethodsA ...
Mingxuan Wang, Yanhui Zhang, Jiuqun Li, Peitao Li, Tianyi Huo, Yuting Jiang, Quanying Qu, Baohua Li   +7 more
doaj   +1 more source

A Delayed Feedback Evolution Game Model of High-Speed Train Scheduling Under Incomplete Information

Applied Sciences
Optimizing high-speed railway (HSR) timetables requires coordinated decisions on train stopping patterns and local feasibility constraints, such as headway separation and service ordering, particularly at stations where consecutive trains share ...
Aiguo Lei, Qizhou Hu, Xiaoyu Wu, Abdulkareem Abdullah   +3 more
doaj   +1 more source

A lightweight intelligent compression method for fast Sea Level Anomaly data transmission.

PLoS ONE
Traditional compression methods struggle to preserve critical mesoscale ocean features like vortices during bandwidth-constrained marine data transmission.
Xiaodong Ma, Xiang Wan, Lei Zhang, Dong Wang, Zeyuan Dai   +4 more
doaj   +1 more source

“Fractional replication” in single‐visit multi‐season occupancy models: Impacts of spatiotemporal autocorrelation on identifiability

Methods in Ecology and Evolution
Understanding variation in species occupancy is an important task for conservation. When assessing occupancy patterns over multiple temporal seasons, it is recommended to visit at least a subset of sites multiple times within a season during a period of ...
Jeffrey W. Doser, Sara Stoudt
doaj   +1 more source

Multi-Stream Quickest Change Detection: Foundations and Recent Advances. [PDF]

Entropy (Basel)
Halme T, Koivunen V.
europepmc   +1 more source

Engineering Pareidolia: Mental Imagery, Perceptual Scaffolding, and Visual Creativity. [PDF]

Brain Sci
Demas A.
europepmc   +1 more source

3D Face Reconstruction with Deep Learning: Architectures, Datasets, and Benchmark Analysis. [PDF]

Sensors (Basel)
Dasgupta S, Shen J, Nguyen TV.
europepmc   +1 more source