The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

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Proposed Algorithm. حسب Hend Bayoumi (22693738)

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

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Large-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

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Medium-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

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Small-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

"…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"

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)

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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Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization حسب Sandeep Jagonda Patil (22048337)

"…To tackle these challenges, this paper proposes the Blockchain Based Trusted Distributed Routing Scheme for MANET using Latent Encoder Coupled Generative Adversarial Network Optimized with Binary Emperor Penguin Optimizer (LEGAN-BEPO-BCMANET). …"

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

Fig 7 - حسب Olaide N. Oyelade (14047002)

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Binary encoding scheme. حسب Binh Thanh Dang (12368831)

Hyperparameter settings for the optimization algorithms. حسب Ahmed M. Elshewey (21463867)

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

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Related Work Summary. حسب Hend Bayoumi (22693738)

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Simulation parameters. حسب Hend Bayoumi (22693738)

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

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

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