بدائل البحث:
whale optimization » swarm optimization (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
model whale » model where (توسيع البحث)
binary edge » binary image (توسيع البحث)
whale optimization » swarm optimization (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
model whale » model where (توسيع البحث)
binary edge » binary image (توسيع البحث)
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Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
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Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
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Hyperparameters of the LSTM Model.
منشور في 2025"…The capacity to confront and overcome this obstacle is where machine learning and metaheuristic algorithms shine. This study introduces the Adaptive Dynamic Particle Swarm Optimization enhanced with the Guided Whale Optimization Algorithm (AD-PSO-Guided WOA) for rainfall prediction. …"
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Prediction results of individual models.
منشور في 2025"…The capacity to confront and overcome this obstacle is where machine learning and metaheuristic algorithms shine. This study introduces the Adaptive Dynamic Particle Swarm Optimization enhanced with the Guided Whale Optimization Algorithm (AD-PSO-Guided WOA) for rainfall prediction. …"
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The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
منشور في 2025الموضوعات: -
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CDF of task latency, approximated as the inverse of the achieved computation rate.
منشور في 2025الموضوعات: -
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Supplementary file 1_Encodings of the weighted MAX k-CUT problem on qubit systems.pdf
منشور في 2025"…This study explores encoding methods for MAX k-CUT on qubit systems by utilizing quantum approximate optimization algorithms (QAOA) and addressing the challenge of encoding integer values on quantum devices with binary variables. …"
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The AD-PSO-Guided WOA LSTM framework.
منشور في 2025"…The capacity to confront and overcome this obstacle is where machine learning and metaheuristic algorithms shine. This study introduces the Adaptive Dynamic Particle Swarm Optimization enhanced with the Guided Whale Optimization Algorithm (AD-PSO-Guided WOA) for rainfall prediction. …"
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Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
منشور في 2024"…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"