Results 181 to 190 of about 15,953 (268)

Phenomenological Prediction of Defect Formation in Continuous Casting of Steel Utilizing Fundamental Modeling and Machine Learning

steel research international, Volume 97, Issue 4, Page 2074-2088, April 2026.
In this article, decision tree classifiers are developed to predict defects in continuous casting of steel utilizing caster data from SSAB Raahe Works (Finland). Phenomenological quality criteria extracted from applicable process measurements and results from solidification and heat transfer simulations are utilized in prediction.
Julius Norrena, Seppo Louhenkilpi, Ville‐Valtteri Visuri, Tuomas Alatarvas, Agne Bogdanoff, Timo Fabritius   +5 more
wiley   +1 more source

Comparing measures of model selection for penalized splines in Cox models. [PDF]

Comput Stat Data Anal, 2009
Malloy EJ, Spiegelman D, Eisen EA.
europepmc   +1 more source

Spatial overlap and temporal synchrony between guilds of insect hosts and parasitoids

Journal of Animal Ecology, Volume 95, Issue 4, Page 712-726, April 2026.
This study identified a spatial overlap between insect host guild richness and parasitoid richness. Species richness in parasitoid guilds always increased later in the season than richness of their host guilds. These findings suggest that shifts in climate and land‐use may alter the synchrony of insect trophic layers.
Laura J. A. van Dijk, Robert M. Goodsell, Anders F. Andersson, Brian L. Fisher, Elzbieta Iwaszkiewicz‐Eggebrecht, Piotr Lukasik, Andreia Miraldo, Pablo Peña‐Aguilera, Fredrik Ronquist, Tomas Roslin, Ayco J. M. Tack   +10 more
wiley   +1 more source

Determining the Survival Impact and Cost‐Effectiveness of Multi‐Gene Panel Sequencing in Metastatic Colorectal Cancer With Super Learning Approaches

Health Services Research, Volume 61, Issue 2, April 2026.
ABSTRACTObjectiveTo determine the effectiveness and cost‐effectiveness of multi‐gene panel sequencing compared to single‐gene KRAS testing for metastatic colorectal cancer (mCRC).Study Setting and DesignBritish Columbia, Canada (BC) is a provincial single‐payer public healthcare system, and it was the first province to publicly reimburse multi‐gene ...
Emanuel Krebs, Deirdre Weymann, Howard J. Lim, Stephen Yip, Dean A. Regier   +4 more
wiley   +1 more source

Tutorial on Bayesian Functional Regression Using Stan. [PDF]

Stat Med
Jiang Z, Crainiceanu C, Cui E.
europepmc   +1 more source

Juventud in revolt? Linked fate, political attitudes, and presidential candidate preferences of young Latinos in the 2024 election

Analyses of Social Issues and Public Policy, Volume 26, Issue 1, April 2026.
Abstract Latinos have moved politically right in the last few years in United States elections, with the percentage of Latinos supporting the Republican presidential candidate at an all‐time high in the 2024 elections. The purpose of this study is to better understand this shift, particularly as it relates to the social psychology of identity in ...
Matt Lamb, Melissa N. Baker, Michelangelo Landgrave   +2 more
wiley   +1 more source

Generalized Additive Modeling of Ecological Data With mgcv: New Adequacy Assessment Tools. [PDF]

Ecol Evol
Mainguy J, McInerney R, Millar RB, Valiquette E, Bélanger M, Moral RA.   +5 more
europepmc   +1 more source

Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami, Alexis Comber, Takahiro Yoshida, Narumasa Tsutsumida, Chris Brunsdon, Tomoki Nakaya   +5 more
wiley   +1 more source

Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval-Censored Outcomes. [PDF]

Stat Med
Lee CY, Shi H, Ma D, Beg MF, Cao J.
europepmc   +1 more source

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

Transactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley   +1 more source