Results 121 to 130 of about 1,312,626 (282)

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Variable selection for ordered categorical data in regression analysis: Information criteria vs. lasso

open access: yesResearch in Statistics
Variable selection in regression analysis with ordered categorical variables can be simplified by integrating some categories and introducing transformed dummy variables.
Mototsugu Fukushige
doaj   +1 more source

Herbarium‐based measurements are reliable predictors of fresh plant traits in Neotropical Myrtaceae

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Herbarium specimens are increasingly used to extract morphological traits for ecological and evolutionary studies, yet the effects of tissue desiccation on trait measurements remain poorly understood. Here, we tested two hypotheses: (H1) whether higher tissue water content leads to greater measurement changes after herborization and ...
Yacov Kilsztajn   +4 more
wiley   +1 more source

Regularized regression models for accurate prediction of HIV progression in ART patients: a comparative study

open access: yesScientific Reports
This study compared four regularized regression techniques Ridge, Least Absolute Shrinkage and Selection Operator (LASSO), Adaptive LASSO, and Elastic Net to analyze survival models for HIV progression.
Grace O. Owoade   +3 more
doaj   +1 more source

Claim Prediction and Premium Pricing for Telematics Auto Insurance Data Using Poisson Regression with Lasso Regularisation

open access: yesRisks
We leverage telematics data on driving behavior variables to assess driver risk and predict future insurance claims in a case study utilising a representative telematics sample. In the study, we aim to categorise drivers according to their driving habits
Farha Usman   +4 more
doaj   +1 more source

Adaptive lasso for sparse high-dimensional regression models. Statistica Sinica,

open access: yes, 2008
: We study the asymptotic properties of the adaptive Lasso estimators in sparse, high-dimensional, linear regression models when the number of covariates may increase with the sample size.
Shuangge Ma, Cun-Hui Zhang, Jian Huang
core  

Assessment of intraspecific skull variation in the Campanian baenid turtle Plesiobaena antiqua

open access: yesThe Anatomical Record, EarlyView.
Abstract Baenids are freshwater paracryptodiran turtles with a fossil record ranging from the Early Cretaceous to the Eocene. The baenid Plesiobaena antiqua is the most common turtle in the Campanian (Late Cretaceous) Dinosaur Park Formation in Canada, but the apparent intraspecific variation remains poorly understood.
Scott Bellotti   +4 more
wiley   +1 more source

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

open access: yesAnimal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy