Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. حسب Yang Cao (53545)

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

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art DE variants using CEC2014 functions. حسب Yang Cao (53545)

Flowchart of a single epoch in the FOX optimization algorithm [10]. حسب Mahmood A. Jumaah (22272371)

Comprehensive comparison of state-of-the-art approaches. حسب Nanavath Kiran Singh Nayak (22184565)

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Performance comparison of proposed system with state-of-the-art approaches. حسب Nanavath Kiran Singh Nayak (22184565)

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Proposed Algorithm. حسب Hend Bayoumi (22693738)

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

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

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

The Pseudo-Code of the IRBMO Algorithm. حسب 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. meta-heuristic algorithms boxplot. حسب 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. حسب 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. …"

3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. حسب Mahmood A. Jumaah (22272371)

Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity. حسب Nanavath Kiran Singh Nayak (22184565)

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Architecture of proposed system model. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

F1-score analysis of DDcGAN-GSOM with existing methods. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Accuracy analysis of DDcGAN-GSOM with existing techniques. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Network simulation of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Simulation parameters of SDN network. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Generator loss of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Simulation parameters of DDcGAN. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات: