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)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

الموضوعات:

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)

Connectivity of dysregulated proteins in SCA1 cells. حسب Aimilia-Christina Vagiona (17584758)

الموضوعات:

Critical proteins associated with SCA1 pathology. حسب Aimilia-Christina Vagiona (17584758)

الموضوعات:

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:

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

الموضوعات:

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Significantly dysregulated proteins (|log2FC | ≤  0.5, adj. p-value ≤  0.05) in SCA1 (805 proteins). حسب Aimilia-Christina Vagiona (17584758)

الموضوعات:

Reagents, software, and algorithms used in the study with their sources for result reproduction. حسب Aanchal Yadav (14206853)

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

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