Results 251 to 260 of about 121,104 (312)

Optimizing Essential Oil Blends by Mixture Design Approaches for Enhanced Antimicrobial and Antioxidant Activity: A Review. [PDF]

J Food Sci
Akacha BB, Kačániová M, Kukula-Koch W, Verde SC, Madureira J, Koch W, Saad RB, Michalak M, Garzoli S, Hsouna AB.   +9 more
europepmc   +1 more source

Optimization of Punch Shaft Design for Reduced Punching Force and Enhanced Tool Life in S500MC Steel Sheet Forming. [PDF]

Materials (Basel)
Zeidi A, Elleuch K, Atapek ŞH, Konieczny J, Labisz K, Ćwiek J.   +5 more
europepmc   +1 more source

Machine Learning Models for Predicting Key Performance Characteristics of High-Temperature THz Quantum Cascade Lasers. [PDF]

Nanomaterials (Basel)
Stojković M, Stanojević N, Milićević A, Vuković N, Topalović D, Ignjatović M, Demić A, Indjin D, Radovanović J.   +8 more
europepmc   +1 more source

Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments. [PDF]

J R Soc Interface
Murphy RJ, Faria M, Osborne JM, Johnston ST.   +3 more
europepmc   +1 more source

Design of a Li-ion battery cooling system incorporating PCM, heat pipes, and liquid circuits using marine predator algorithm-enhanced ANN and multi-verse optimization. [PDF]

Sci Rep
Ali NB, Louhichi B, Hassan WH, Alizadeh A, Hussein AA, Aich W, Hajlaoui K, Aminian S.   +7 more
europepmc   +1 more source

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Statistical Inference for Approximate Bayesian Optimal Design

2020 Winter Simulation Conference (WSC), 2020
This paper studies a generic Bayesian optimal design formulation with chance constraints, where the decision variable lies in a separable, reflexive Banach space. This setting covers a gamut of simulation and modeling problems that we illustrate through two example problem formulations.
Prateek Jaiswal, Harsha Honnappa
openaire   +1 more source

Optimal statistical design for toxicokinetic studies

Statistical Methods in Medical Research, 1997
Optimal statistical design strategies are applied to toxicokinetic experiments, for determining proper allocations of subjects and/or spacings of sampling times under a variety of nonlinear concentration-time models. The strategies include: (i) optimal allocations of subjects assuming the placement of time points is fixed, (ii) optimal spacing of ...
D A, Beatty, W W, Piegorsch
openaire   +2 more sources