Results 51 to 60 of about 257 (99)

Inverse Design of Materials by Machine Learning. [PDF]

Materials (Basel), 2022
Wang J, Wang Y, Chen Y.
europepmc   +1 more source

Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash. [PDF]

Sci Rep
Dev KL, Kumar DR, Wipulanusat W.
europepmc   +1 more source

Mathematical optimization models for reallocating and sharing health equipment in pandemic situations. [PDF]

Top (Berl), 2023
Blanco V, Gázquez R, Leal M.
europepmc   +1 more source

A risk-averse sustainable perishable food supply chain considering production and delivery times with real-world application. [PDF]

PLoS One
Shakuri M, Barzinpour F.
europepmc   +1 more source

Enhancing performance of Parallel Hybrid Electric Vehicles using Powell's Artificial Bee Colony method. [PDF]

Heliyon
Shivappriya SN, Gowrishankar T, Stoian G, Anitha J, Hemanth DJ.   +4 more
europepmc   +1 more source

A high reliability based evidential reasoning approach. [PDF]

PLoS One
Liu Y, Li H.
europepmc   +1 more source

Simple and complex cells revisited: toward a selectivity-invariance model of object recognition. [PDF]

Front Comput Neurosci, 2023
Li X, Wang S.
europepmc   +1 more source

ANN trained by BBO for modeling of fly ash cementitious systems with high range water reducing admixtures. [PDF]

Sci Rep
Mardani N, Kazemi R, Unverdi M, Mardani A, Mirjalili S.   +4 more
europepmc   +1 more source

Generation of Reference Softgauges for Minimum Zone Fitting Algorithms: Case of Aspherical and Freeform Surfaces. [PDF]

Nanomaterials (Basel), 2021
Chiboub A, Arezki Y, Vissiere A, Mehdi-Souzani C, Anwer N, Alzahrani B, Bouazizi ML, Nouira H.   +7 more
europepmc   +1 more source

Editorial: Dynamic Scheduling Problems. [PDF]

J Sched, 2020
Agnetis A, Gawiejnowicz S, Lin BM, Mosheiov G.   +3 more
europepmc   +1 more source