Results 131 to 140 of about 84,882 (267)
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan +3 more
wiley +1 more source
Bayesian Multi-Model Comparison and Nonlinear Mixed Modelling of Growth Trajectories in Denizli Chickens. [PDF]
Manav HR +5 more
europepmc +1 more source
ABSTRACT This research paper provides an extensive study of the effects of Darcy–Forchheimer von‐Karman spinning flow of Maxwell fluid across a stretching disk including the effect of heat generation based on a nonlinear function of temperature. The flow system is influenced by thermal radiations and Arrhenius activation energy.
Ebrahem A. Algehyne +6 more
wiley +1 more source
How Long does it Take to Train an Elephant Random Walk. [PDF]
Fang Z.
europepmc +1 more source
ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy +3 more
wiley +1 more source
Rescaling and Asymptotic Acceleration in Unconstrained Quadratic Optimisation. [PDF]
Zverovich A, Hutchings M, Gauthier B.
europepmc +1 more source
Discrete DSC and rheological data are transformed into continuous compositional Time–temperature–transformation (TTT) diagrams through physics‐informed Gaussian Process Regression. The proposed framework quantitatively predicts post‐gel processing windows across temperature and nanofiller composition, providing a practical route for accelerated design ...
Otávio Bianchi +6 more
wiley +1 more source
Training-set conditionally valid prediction sets with right-censored data. [PDF]
Si W, Qiu H.
europepmc +1 more source
ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed +3 more
wiley +1 more source

