Results 101 to 110 of about 138,439 (148)

Physics‐based inverse modeling of battery degradation with Bayesian methods

open access: yesChemSusChem, Accepted Article.
To further improve Lithium‐ion batteries (LiBs), a profound understanding of complex battery processes is crucial. Physical models offer understanding but are difficult to validate and parameterize. Therefore, automated machine‐learning methods (ML) are necessary to evaluate models with experimental data. Bayesian methods, e.g., Expectation Propagation
Micha Philipp   +3 more
wiley   +1 more source

Administration Studies in Equine Antidoping Research: Designing Scientific Investigations to Effectively Direct Medication Control in Racehorses

open access: yesDrug Testing and Analysis, EarlyView.
ABSTRACT Pharmacokinetics is the study of the movement of drug in the body and includes the processes of absorption, distribution, metabolism, and excretion. Pharmacodynamics is the pharmacologic effect of the drug on the body. The pharmacokinetics of a drug determines its pharmacologic effect. Pharmacokinetic studies describe drug concentrations while
Heather K. Knych
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

Leakage risk assessment system for salt cavern hydrogen storage

open access: yesDeep Underground Science and Engineering, EarlyView.
Establishment of a leakage risk evaluation system for salt cavern hydrogen storage reservoirs using the entropy weight method plus two‐dimensional cloud modeling approach. Abstract Salt cavern hydrogen storage (SCHS) is an important component of large‐scale underground hydrogen storage, with advantages such as large hydrogen storage capacity and ...
Weizheng Bai   +4 more
wiley   +1 more source

Brain oxygenation monitoring during neonatal stabilization and resuscitation and its potential for improving preterm infant outcomes: a systematic review and meta-analysis with Bayesian analysis. [PDF]

open access: yesEur J Pediatr
Bruckner M   +24 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Bayesian Analysis of Modified Nutrition Risk in Critically Ill (mNUTRIC) Score for Mortality Prediction in Critically Ill Patients. [PDF]

open access: yesIndian J Crit Care Med
Prakash J   +8 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy