Results 151 to 160 of about 1,032,480 (246)

Handling Experimental Data in FACPACK: Noise Effects on Duality Relations and Algorithmic Parameter Selection

Journal of Chemometrics, Volume 40, Issue 10, October 2026.
ABSTRACT The area of feasible solutions (AFS) quantifies factor ambiguity in multivariate curve resolution (MCR). Although AFS computation is well‐defined for noise‐free data, experimental datasets require constraint relaxation and parameter tuning, which influence the resulting feasible bands.
Mathias Sawall, Christoph Kubis, Alejandro Olivieri, Steven J. Roeters, Klaus Neymeyr   +4 more
wiley   +1 more source

Preparation of guidance for health risk assessment of environmental noise

, 2010
Evidence has accumulated regarding health effects of environmental noise. The WHO European Centre for Environment and Health, Bonn, has organized several meetings of experts over recent years to examine the current state of knowledge, and to further ...
Brown, AL, Kephalopoulos, S, Kim, R, Schwela, D, Fritschi, L   +4 more
core  

Evaluation of Empirical Strategies to Treat Correlated and Heteroscedastic Noise in Multivariate Chemical Measurements

, 2019
The analysis of multivariate chemical data is often complicated by the presence of errors which are correlated or have non-uniform variance (heteroscedastic).
Giglio, Cannon
core   +1 more source

Developing machine learning regression model optimized using Tabu search harmony search algorithm for prediction of mass transfer in membranes. [PDF]

Sci Rep
Abu-Hamdeh NH, Milyani AH, Almitani KH.
europepmc   +1 more source

TrustSpec: Simulation‐Grounded Physics‐Driven Spectral Inversion With Uncertainty Quantification for SiC Epitaxial Thickness Metrology

Engineering Reports, Volume 8, Issue 10, October 2026.
TrustSpec reuses a single spectral digital twin both to train a deep ensemble and to verify each prediction via analysis‐by‐synthesis. A two‐channel trust plane automatically releases, reviews, or rejects every SiC epitaxial thickness reading, achieving 0.110 μm mean error with full out‐of‐distribution rejection in simulation.
Zijie Nie, Shunlin Yang, Qingjie Guo
wiley   +1 more source

Machine Learning Approaches for Predicting Total Organic Carbon From Petrophysical Well Logs in the Wufeng–Longmaxi Shale, Southeast Sichuan Basin, China

Geoscience Data Journal, Volume 13, Issue 4, October 2026.
This study demonstrates the application of machine learning models—Random Forest, XGBoost, and Multiple Linear Regression—to predict Total Organic Carbon (TOC) from well logs, significantly improving TOC prediction accuracy and reliability across diverse geological settings compared to traditional log‐based methods.
Haseeb Ahmad, Jiang Shu, Naveed Rehman, Muhammad Asad, Muhammad Tariq, Aqib Saeed, Attiqullah Ayaz   +6 more
wiley   +1 more source

UDEC-MO: an uncertainty-guided deep embedded clustering framework for bulk and single-cell multi-omics data. [PDF]

Brief Bioinform
Li J, Ye T, Xiao Y, Zhao M, Jiang L, Chen S, Guo F, Tang J.   +7 more
europepmc   +1 more source

Body Image, Disordered Eating, and Psychological Functioning as Prospective Predictors of Inflexible Eating

Journal of Clinical Psychology, Volume 82, Issue 10, Page 1607-1616, October 2026.
ABSTRACT Objective Most research on dieting behaviours has examined rigid dieting, characterised by strict, rule‐bound approaches to eating that reflect an all‐or‐nothing mindset. However, this work has primarily emphasised behavioural features, with comparatively less attention to the cognitive and emotional processes underlying rigid control ...
Tayarna Bolger, Mariel Messer
wiley   +1 more source

Improving movie rating prediction accuracy and interpretability with narrative-aligned multimodal fusion. [PDF]

Sci Rep
Peng D, Yue K, Zhou Z.
europepmc   +1 more source

Artificial Intelligence, Economic Decision‐Making, and Air Transport Performance: Evidence From G7 Countries

Managerial and Decision Economics, Volume 47, Issue 7, Page 1856-1873, October 2026.
ABSTRACT This paper examines the role of artificial intelligence (AI) in shaping economic decision‐making and improving air transport performance in G7 countries over the period 1996–2021. AI is proxied by scientific publications and interpreted as an indicator of innovation capacity that supports data‐driven decision‐making and operational efficiency ...
Emin Ahmet Kaplan, Tufan Sarıtaş, Yasin Büyükkör, Alper Aslan   +3 more
wiley   +1 more source