Large-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

Large-scale dataset comparative analysis using the number of features selected. حسب Olaide N. Oyelade (14047002)

Large-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

An illustration and comparison of the fitness convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using... حسب Olaide N. Oyelade (14047002)

An illustration and comparison of the cost convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using 50... حسب Olaide N. Oyelade (14047002)

Large-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

Binary contingency table. حسب Lu Xiao (314030)

Datasets and their properties. حسب Olaide N. Oyelade (14047002)

"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"

Parameter settings. حسب Olaide N. Oyelade (14047002)

"…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …"

Unraveling Adsorbate-Induced Structural Evolution of Iron Carbide Nanoparticles حسب Peter S. Rice (11805875)

"…For this purpose, we have developed a general procedure that we use to model an experimentally relevant 270-atom Fe₁₈₂C₈₈ NP using the neural network-assisted stochastic surface walk global optimization algorithm (SSW-NN). Once generated, the Fe₁₈₂C₈₈ NP active sites and particle morphology are thoroughly characterized before the effects of syngas adsorbate interactions are explored by using DFT and molecular dynamics simulations. …"

Flowchart of software workflow. حسب Gavrielle R. Untracht (11820311)

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. حسب Linus Woitke (22783534)