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

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”

Proposed Algorithm. by Hend Bayoumi (22693738)

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

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

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

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. …”

Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

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. …”

Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

Best optimizer results of Adaboost. by Balraj Preet Kaur (20370832)

Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

Random forest with hyperparameter optimization. by Balraj Preet Kaur (20370832)

Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

Best optimizer results of Decision tree. by Balraj Preet Kaur (20370832)

Best optimizer result for Adaboost classifier. by Balraj Preet Kaur (20370832)

Best optimizer results for random forest. by Balraj Preet Kaur (20370832)

Best optimizer results of Decision tree. by Balraj Preet Kaur (20370832)