Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…<b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"

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

"…EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

The process of the optimization (MIGA). حسب Shangyang Jin (21772466)

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Optimization process of the DGN method. حسب Shangyang Jin (21772466)

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The process of the optimization (NSGA-Ⅱ). حسب Shangyang Jin (21772466)

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The process of the optimization (NSGA-Ⅱ). حسب Shangyang Jin (21772466)

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The process of the optimization (NSGA-Ⅱ+ NLPQL). حسب Shangyang Jin (21772466)

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Kepler optimization algorithm. حسب Jiangli Yu (4601986)

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The comparison of different algorithm optimizations for TL. حسب Shangyang Jin (21772466)

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The comparison of different algorithm optimizations for TL. حسب Shangyang Jin (21772466)

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One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

Parameters of NSGA-II algorithm. حسب Shangyang Jin (21772466)

الموضوعات:

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Code and data. حسب Shangyang Jin (21772466)

الموضوعات:

Parameters of muti-island genetic algorithm. حسب Shangyang Jin (21772466)

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The parameter settings of the RF algorithm after parameter optimization. حسب Xini Fang (20861990)

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple tea fields.XLSX حسب Yangyang Liu (807797)

An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

"…EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

Comparison of optimization effects of combined algorithms (NSGA-Ⅱ+ NLPQL). حسب Shangyang Jin (21772466)

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