Search alternatives:
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
time processing » image processing (Expand Search), pre processing (Expand Search), antigen processing (Expand Search)
binary time » binary image (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
time processing » image processing (Expand Search), pre processing (Expand Search), antigen processing (Expand Search)
binary time » binary image (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
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Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX
Published 2024“…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …”
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Testing accuracy and performance metrics for different DTL models for every class.
Published 2024Subjects: -
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The flow of the SP-DRL algorithm.
Published 2023“…The pointer network with an encoder and decoder structure is taken as the basic network for the deep reinforcement learning algorithm. A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …”
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Architecture of the EfficientNetB3-based regression model used for cattle weight prediction.
Published 2025Subjects: -
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