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

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Water consumption due to average value and fuzzy logic algorithm. حسب Gourab Saha (8987405)

الموضوعات:

Crop yield prediction accuracy using different ML algorithms. حسب Gourab Saha (8987405)

الموضوعات:

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

الموضوعات:

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

الموضوعات:

Accuracy of the support vector machines for different proportion of test samples. حسب Abeer Aljohani (18497914)

الموضوعات:

Multidimensional test results of BWEMFO and MFO on IEEE CEC 2017 test functions. حسب Jingjing Ma (419752)

الموضوعات:

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms حسب Connor Lee (22327243)

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms حسب Hossein Mashhadimoslem (11456548)

"…In this research study, we created a data set and collected data points from porous adsorbents (2789) from 21 published papers, including carbon-based, porous polymers, metal–organic frameworks (MOFs), and zeolites, to understand their characteristics for CO₂ adsorption. Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO₂ adsorption performance as a function of characteristics and adsorption isotherm parameters. …"

S and V shaped transfer functions. حسب Chenyi Zhu (9383370)

الموضوعات:

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Differential expression of DSRGs, PPI, and functional enrichment analysis for DSRGs in AMI. حسب Nan Huang (464390)

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)

Functional enrichment analyses of Co-genes. حسب Qingcong Zheng (11169094)

Graphical illustration of a spectral approach for training support vector machine. حسب Abeer Aljohani (18497914)

الموضوعات:

wIRBMO feature selection algorithm improving rate. حسب Chenyi Zhu (9383370)

الموضوعات:

Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات:

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: