Several loop patterns found in binary code. by Alba Pedro-Zapater (8600382)

SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

Measures of predictive accuracy in four machine learning algorithms. by Ryan P. Strum (12411239)

An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction by Muhammad Sam'an (20649621)

Optimized network structure. by Menaa Nawaz (14304920)

A schematic diagram of the distribution of base stations in a city shows that the distribution of base stations is not even, showing a trend of being dense inside and sparse outsid... by Xiaorui Wu (8322705)

The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing. by Xiaorui Wu (8322705)

Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

Subjects:

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Ranking of Pareto set methods on the USPS dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

Evolution of changing weights in the optimization of the MPC controller. by Hedyeh Jafari (9667127)

Subjects:

Ranking of Pareto set methods on the Adult9a dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

“…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Mean relative importance for the top 10 patient characteristic predictors of hospital admission across all machine learning algorithms. by Ryan P. Strum (12411239)

Architecture of the EfficientNetB3-based regression model used for cattle weight prediction. by Md Junayed Hossain (22615268)

Subjects:

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

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

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

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”