Convergence curve of others functions compared with the meta-heuristic algorithms. حسب Yong Gao (29929)

Convergence curve of multimodal functions compared with the meta-heuristic algorithms. حسب Yong Gao (29929)

Convergence curve of multimodal functions compared with the PSO family algorithms. حسب Yong Gao (29929)

The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorit... حسب Abedalmuhdi Almomany (18547669)

Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. حسب Andrew H. Talal (8727396)

Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. حسب Andrew H. Talal (8727396)

Demonstration of the combinatorial Hill functions (A and B), and the regulation function (C and D) under the regulation of an activator and a repressor. حسب Ruihao Li (2908991)

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

Comparison of overall (a) Accuracy and (b) Label request results between ROAL and AOL. حسب Honglan Huang (341951)

Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. حسب Jin Ding (11522)

CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... حسب Ruyi Dong (9038174)

Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... حسب Ruyi Dong (9038174)

Example of use of the slightly off-axis strategies. حسب Raul Castañeda (13932971)

Example of the fully-compensated phase reconstruction package for off-axis DHM holograms recorded in telecentric configuration. حسب Raul Castañeda (13932971)

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

الموضوعات:

Population diversity comparison on all function (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. حسب Jin Ding (11522)

Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large. حسب Panfei Li (22379086)

"…<p>Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large.…"

The SSIM for the different algorithms. حسب Bingbing Li (461702)

"…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"

The number of core promoter elements and TF binding sites predicted for four promoters with YAPP, GPMiner and ElemeNT algorithms. حسب Ali Hosseini Rad S. M. (9167497)

Skeletonisation algorithm. حسب Jordan Hembrow (16908051)