Search alternatives:
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
based optimization » whale optimization (Expand Search)
batch processing » data processing (Expand Search), speech processing (Expand Search), waste processing (Expand Search)
binary b » binary _ (Expand Search)
b based » _ based (Expand Search), 1 based (Expand Search), 2 based (Expand Search)
processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
based optimization » whale optimization (Expand Search)
batch processing » data processing (Expand Search), speech processing (Expand Search), waste processing (Expand Search)
binary b » binary _ (Expand Search)
b based » _ based (Expand Search), 1 based (Expand Search), 2 based (Expand Search)
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Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments
Published 2025“…Finally, we illustrate the effectiveness of our proposal through extensive simulations and real-world applications.…”
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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
Published 2021“…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …”
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Flowchart scheme of the ML-based model.
Published 2024“…<b>Fii)</b> Texture information using local binary patterns. …”
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Pseudocode of the approximation algorithm <i>GA.</i>
Published 2025“…Finally, an empirical example was facilitated by examining real shared bikes stations in the Yanta district of Xi’an, China, to verify the effectiveness of the model and algorithm. …”
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Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish)
Published 2024“…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …”
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