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

Comparison of related work. حسب Shehr Bano (20421706)

The basic working of AMP and AMO. حسب Shehr Bano (20421706)

Comparison of DeepDate and the other related work. حسب Nour Eldeen Mahmoud Khalifa (19259450)

Optimal ALARM BN discovered by CausNet. حسب Nand Sharma (21519845)

الموضوعات:

Proposed Algorithm. حسب Hend Bayoumi (22693738)

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

Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. حسب Nand Sharma (21519845)

الموضوعات:

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... حسب Zhenling Wang (306377)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... حسب Zhenling Wang (306377)

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

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

A summary of related work in CRN. حسب Saraswathi M. (19353597)

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. …"

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

Comparison table of related work. حسب Faheem Nawaz Tareen (18319868)

"…In addition, <i>EOTE</i> − <i>FSC</i> modifies the task sequencing with a deadline algorithm for the fog node to optimally execute the offloaded tasks in such a way that most of the high-priority tasks are entertained. …"

Image10_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG حسب R. Lalhmachhuana (19684261)

Image13_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG حسب R. Lalhmachhuana (19684261)

Image2_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG حسب R. Lalhmachhuana (19684261)

Image4_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG حسب R. Lalhmachhuana (19684261)