Training losses for N = 10. حسب Hend Bayoumi (22693738)

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Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods. حسب Hend Bayoumi (22693738)

الموضوعات:

The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames. حسب Hend Bayoumi (22693738)

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Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

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CDF of task latency, approximated as the inverse of the achieved computation rate. حسب Hend Bayoumi (22693738)

الموضوعات:

Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. حسب Hend Bayoumi (22693738)

الموضوعات:

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

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I-NSGA-II-RF algorithm. حسب Xiaohua Zeng (793632)

"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"

The pareto front obtained by each algorithm. حسب Xiaohua Zeng (793632)

"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"

Pseudo-code of MACOA. حسب Xingtao Wu (22139242)

Pseudo-code for the study design model. حسب Jianpeng Zhang (528185)

The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

The speciation of NANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

The genome coding scheme. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

GA pseudo-code. حسب Jianpeng Zhang (528185)

Electroassisted Core-Spun Triboelectric Nanogenerator Fabrics for IntelliSense and Artificial Intelligence Perception حسب Chao Ye (765248)

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Electroassisted Core-Spun Triboelectric Nanogenerator Fabrics for IntelliSense and Artificial Intelligence Perception حسب Chao Ye (765248)

الموضوعات:

Electroassisted Core-Spun Triboelectric Nanogenerator Fabrics for IntelliSense and Artificial Intelligence Perception حسب Chao Ye (765248)

الموضوعات: