Line plots with the TNR for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. حسب Susana Conde (5495675)

IGD performance comparison of QLNSGAII against MOPSO, rNSGAII, IMMOEAD, MOEADFRRMAB, and dMOPSO on WFG and UF test functions. حسب Zhongfeng Li (3965060)

HV performance comparison of QLNSGAII against MOPSO, rNSGAII, IMMOEAD, MOEADFRRMAB, and dMOPSO on WFG and UF test functions. حسب Zhongfeng Li (3965060)

Flowchart of MOSRS algorithm. حسب Vahid Goodarzimehr (21343124)

Proposed algorithm. حسب Keenjhar Ayoob (22339616)

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.…"

EASP-AODV algorithm for route discovery at the intermediate node. حسب Tibebu Legesse (21030014)

Functional enrichment and correlation analysis of hub DE-SRGs. حسب Xihao Shen (20347942)

الموضوعات:

Comparison of different algorithms. حسب Jiandong Qiu (20389944)

The impact of extrinsic noise sources on the measured SNR is plotted for both CW and TG against varying optical filter magnitudes. حسب Nicholas H. Vitale (20469289)

IEEE CEC 2017 benchmark function specifications. حسب Kankan Tang (21474968)

IEEE CEC 2022 benchmark function specifications. حسب Kankan Tang (21474968)

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

الموضوعات:

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

Benchmark functions. حسب Yun Qi (560401)

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

الموضوعات:

The accuracy of different algorithms for TMD on SHL and HTC datasets. حسب Rui Li (4631)