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. …"

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

الموضوعات:

Functional profiling of GS height <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression. حسب Eugenia Radulescu (319733)

Functional profiling of GS-SCZ <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression. حسب Eugenia Radulescu (319733)

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Silibinin solubilization: combined effect of co-solvency and inclusion complex formation حسب Azam Dehghan (18434551)

"…</p> <p>SLB solubility in a buffered solution supplemented by ethanol co-solvent and HP-β-CD complexing agent is a function of free drug present in the semi-aqueous media, the drug-ligand binary complex, and the drug/ligand/co-solvent ternary complex.…"

Schematic diagram depicting the workflow to generate our <i>in-silico</i> co-culture model. حسب Elias Vera-Siguenza (16993830)

Table1_nPCA: a linear dimensionality reduction method using a multilayer perceptron.DOCX حسب Juzeng Li (17748507)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

الموضوعات:

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

الموضوعات:

Parameters of NSGA-II algorithm. حسب Shangyang Jin (21772466)

"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"

SARS-CoV-2 secondary structure predictions via KnotAli. حسب Luke Trinity (6792770)

Dominant SARS-CoV-2 pseudoknot motif predictions via Shapify. حسب Luke Trinity (6792770)

Block diagram of semi-active suspension control strategy with preview function. حسب Zhengcai Yang (12937181)

Schematic of CoCoNet for identifying trait relevant tissue/cell type using information from gene co-expression networks. حسب Lulu Shang (8735736)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

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