Results 241 to 250 of about 3,905,952 (289)

Reliability assessment of key equipment for coal gasification using artificial intelligence technology. [PDF]

PLoS One
Wu L, Zhang Z, Ding R, Zhang W, Liu M.
europepmc   +1 more source

Experimental methods in chemical engineering: The scientific method versus engineering design methodology

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Engineering graduate students confuse the scientific method and problem solving when presenting their pre‐doctoral exams and theses: Science discourse adopts question and hypotheses to assert and establish a study's rationale, while it is problem and objectives in engineering design.
Gregory S. Patience, Alexander R. P. Harrison, Nicolas A. Patience, Paul A. Patience, Robert S. Weber   +4 more
wiley   +1 more source

Simulation of oxytactic microbes in hybrid nanofluid with activation energy and LTNE effects using Bayesian regularization neural network technique. [PDF]

Discov Nano
Abbas M, Alam MM, Ben Hamida MB, Hassani MK.   +3 more
europepmc   +1 more source

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source

Everything Is Prediction: Modern Machine Learning as Bayesian Inference. [PDF]

Entropy (Basel)
Polson NG, Sokolov V, Soyer R.
europepmc   +1 more source

AI‐Enabled Precision Dosing in Pediatrics: Enhancing Model‐Informed Decision Making

Clinical Pharmacology &Therapeutics, EarlyView.
Ensuring safe and effective pharmacotherapy for children remains a central challenge in clinical pharmacology, yet rapid advances in AI have not translated into clinical practice. This Perspective highlights how AI‐enabled approaches can enhance model‐informed decision making for precision dosing.
Kei Irie, Tomoyuki Mizuno
wiley   +1 more source

A Rosetta Stone hypothesis for neurophenomenology: mathematical predictions from predictive processing. [PDF]

Neurosci Conscious
Da Costa L, Seth AK, Friston K, Ramstead MJD, Sandved-Smith L.   +4 more
europepmc   +1 more source

Neural posterior estimation on exponential random graph models: evaluating bias and implementation challenges. [PDF]

Stat Comput
Fan Y, White SR.
europepmc   +1 more source

AI links environmental DNA to human health. [PDF]

Environ Sci Ecotechnol
Guo C, Xu J, Chang J, Wang S, Zhang X.
europepmc   +1 more source

A data-driven evaluation of optimization techniques in cell culture media. [PDF]

Bioinformatics
Parsaee A, Stahn M, Amirvaresi A, Ovissipour R, Staszak D.   +4 more
europepmc   +1 more source