N2O mass fraction in Fig 15-turbulence changed. حسب Feng Gao (3548)

Vorticity for only RNG <i>k-ε</i> model, t = 21.06 s. حسب Feng Gao (3548)

N₂O mass fraction at 9 sampling points. حسب Feng Gao (3548)

N2O mass fraction in Fig 15-only RNG. حسب Feng Gao (3548)

Flowchart of software workflow. حسب Gavrielle R. Untracht (11820311)

Scores vs Skip ratios on single-agent task. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

Time(s) and GFLOPs savings of single-agent tasks. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

The source code of LazyAct. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

Win rate vs Skip ratios on multi-agents tasks. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

Single agent and multi-agents tasks for <i>LazyAct</i>. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

Network architectures for multi-agents task. حسب Hongjie Zhang (136127)

"…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the <i>LazyAct</i> algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …"

BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks حسب Eric Yanchenko (3266514)

"…In this work, we propose <math><mrow>BOPIM</mrow></math>, a Bayesian Optimization (BO) algorithm for IM on temporal networks. …"

Block diagram for IoT-based irrigation system. حسب Gourab Saha (8987405)

"…Finally, a fuzzy logic-based solar-powered irrigation system is used to monitor the water requirements of those crops and irrigate them according to their needs. …"

Hardware design for IoT-based irrigation system. حسب Gourab Saha (8987405)

"…Finally, a fuzzy logic-based solar-powered irrigation system is used to monitor the water requirements of those crops and irrigate them according to their needs. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In addition, the previous machine learning algorithm support vector machine (SVM) was also used to construct another prediction model based on the same data sets, comparing the model performance with the optimal DL model. …"