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

The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

Layout of the primary 3D manufacturing cell facility [5]. by Yanlin Zhao (251552)

Flow chart of the Improved Kepler Orbital Algorithm (IKOA). by Hao Yang (328526)

The scenario used in Unity environment. Both the agent and target are spawned randomly at the start of the game anywhere in the game environment for each episode. by Enoch Solomon (21416703)

Models’ performance without optimization. by Muhammad Usman Tariq (11022141)

“…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …”

RNN performance comparison with/out optimization. by Muhammad Usman Tariq (11022141)

“…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …”

Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity. by Nanavath Kiran Singh Nayak (22184565)

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Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)

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F1-score analysis of DDcGAN-GSOM with existing methods. by Nanavath Kiran Singh Nayak (22184565)

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Accuracy analysis of DDcGAN-GSOM with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

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Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

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Simulation parameters of SDN network. by Nanavath Kiran Singh Nayak (22184565)

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Generator loss of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

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Simulation parameters of DDcGAN. by Nanavath Kiran Singh Nayak (22184565)

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Throughput analysis of DDcGAN-GSOM with prevailing approaches. by Nanavath Kiran Singh Nayak (22184565)

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Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

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Performance comparison of proposed system with state-of-the-art approaches. by Nanavath Kiran Singh Nayak (22184565)

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Schematic representation of univariate ensemble-based feature selection. by Nanavath Kiran Singh Nayak (22184565)

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Energy consumption analysis of DDcGAN-GSOM with existing approaches. by Nanavath Kiran Singh Nayak (22184565)

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