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)

"…From this dataset we can compute the MI between each interaction and the outcome and <b>(D)</b> obtain a ranked list (<i>I</i>_<i>δ</i>) based on this metric. <b>(E)</b> Starting from the interaction at the top of <i>I</i>_<i>δ</i>, <i>hi</i>PRS constructs <i>I</i>_<i>K</i>, selecting <i>K</i> (where <i>K</i> is user-specified) terms through the greedy optimization of the ratio between MI (<i>relevance</i>) and a suitable measure of similarity for interactions (<i>redundancy)</i> (cf. …"

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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Kepler optimization algorithm. حسب Jiangli Yu (4601986)

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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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Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

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

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

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Binary encoding scheme. حسب Binh Thanh Dang (12368831)

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

"…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …"

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

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Code and data. حسب Shangyang Jin (21772466)

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

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