Physics‐based inverse modeling of battery degradation with Bayesian methods
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
Long-run causal impact of the 2011 Economic Adjustment Programme on Portuguese population health. [PDF]
Tavares AI, Si Abdallah N.
europepmc +1 more source
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
Changes in facial expressions can distinguish Parkinson's disease via Bayesian inference. [PDF]
Mouse M+6 more
europepmc +1 more source
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
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]
Bruckner M+24 more
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
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]
Prakash J+8 more
europepmc +1 more source