بدائل البحث:
processing optimization » process optimization (توسيع البحث), process optimisation (توسيع البحث), routing optimization (توسيع البحث)
whale optimization » swarm optimization (توسيع البحث)
sample processing » image processing (توسيع البحث), waste processing (توسيع البحث), pre processing (توسيع البحث)
intra sample » entire sample (توسيع البحث), data sample (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a whale » a whole (توسيع البحث), _ whale (توسيع البحث), a while (توسيع البحث)
processing optimization » process optimization (توسيع البحث), process optimisation (توسيع البحث), routing optimization (توسيع البحث)
whale optimization » swarm optimization (توسيع البحث)
sample processing » image processing (توسيع البحث), waste processing (توسيع البحث), pre processing (توسيع البحث)
intra sample » entire sample (توسيع البحث), data sample (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
a whale » a whole (توسيع البحث), _ whale (توسيع البحث), a while (توسيع البحث)
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1
Robustness of the optimization process in a real dataset.
منشور في 2023"…<p>S3 Fig shows the results of the optimization process for different start points supplied to the optimization function. …"
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2
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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3
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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4
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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5
A method to concatenate multiple short time series for evaluating dynamic behaviour during walking
منشور في 2019"…The collected time series were cut into multiple shorter time series of varying lengths and subsequently concatenated using a novel algorithm that identifies similar poses in successive time series in order to determine an optimal concatenation time point. …"
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6
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…"