Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Comparison of algorithms in two cases. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

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

"…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. …"

Code and data. 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. …"

The membrane metamaterial structure. 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. …"

Optimization process of the DGN method. 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. …"

The material characteristics of the mass block. 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. …"

The process of the optimization (NSGA-Ⅱ). 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. …"

The process of the optimization (NSGA-Ⅱ+ NLPQL). 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. …"

The TL of the metamaterial. 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. …"

The nine structural parameters as design factors. 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. …"

The material characteristics of the components. 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. …"

The process of the optimization (NSGA-Ⅱ). 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. …"

The TL of the perforated membrane metamaterial. 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. …"

The process of the optimization (MIGA). 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. …"

The effect of each parameter on the peak value. 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. …"

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). حسب Yu Liu (6938)

"…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…"

Confirmation of hub MitoDEGs expression and association with cardiac function in MI mice. حسب Wenlong Kuang (20485167)

الموضوعات:

The rules obtained with the original method versus the ones obtained with the improved parameter classification algorithm. حسب Ljubisa Miskovic (4175095)