Results 201 to 210 of about 3,492,245 (278)

Calibration of medium‐range temperature ensemble forecasts dependent on the time horizon: An assessment

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Numerical weather prediction output necessitates calibration, as weather model systems are unable to replicate the correct statistics of observations. Such processing is especially important when predicting extreme weather. Calibration methods function by learning from prediction inadequacies during a training phase and by exploiting this information ...
Dmitrij Japs   +3 more
wiley   +1 more source

Statistical Monitoring of Multivariate Count Data From Real‐Time Particle Counters

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT In the pharmaceutical industry, production environments are monitored for bacterial contamination. Particle counters are increasingly investigated for real‐time monitoring of viable microorganisms using count data for different particle size intervals.
Mona Emampour   +2 more
wiley   +1 more source

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]

open access: yesSci Rep
Ahmadianfar I   +10 more
europepmc   +1 more source

Not All Missing Data are Equal: Choosing the Right Imputation Method for Binary Datasets

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Missing binary predictors are common in reliability, quality control, and industrial decision systems, yet imputation methods are often chosen by convenience rather than evidence. We conduct a Monte Carlo study comparing mode substitution, sequential hot‐deck, missForest, MICE, and KNN with three neighbourhood sizes under MCAR, MAR, and MNAR ...
Manuel Delfino, Fabio Rapallo
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Urban Heat and Spatial Statistics, Toward Sustainable Cities and Society: A PRISMA‐Based Systematic Review and Empirical Assessment (2020–2025)

open access: yesSustainable Development, EarlyView.
ABSTRACT Over the past few decades, the intensification of global warming has brought increased attention to urban thermal dynamics, particularly regarding Land Surface Temperature (LST) and the Urban Surface Heat Island (SUHI) effect. This study conducts a systematic literature review alongside a bibliometric analysis of 123 peer‐reviewed articles ...
David Hidalgo‐García   +4 more
wiley   +1 more source

A review of decomposition methods for brain states estimation. [PDF]

open access: yesBiomed Eng Online
Hu G   +8 more
europepmc   +1 more source

From Innovation to Sustainability: Integrating Fintech, Green Trade and Knowledge Systems for Circular Growth in Sub‐Saharan Africa

open access: yesSustainable Development, EarlyView.
ABSTRACT The transition toward circular and sustainable growth remains a major challenge in Sub‐Saharan Africa (SSA), where resource constraints, limited recycling capacity, and infrastructure deficits constrain environmental performance. Drawing on circular economy and innovation systems perspectives, this study examines how financial technology ...
Emmanuel Kwaku Manu   +3 more
wiley   +1 more source

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