Search alternatives:
routing optimization » joint optimization (Expand Search), production optimization (Expand Search), learning optimization (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
based routing » based testing (Expand Search), based dosing (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
routing optimization » joint optimization (Expand Search), production optimization (Expand Search), learning optimization (Expand Search)
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
based routing » based testing (Expand Search), based dosing (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Minimum turn-back time of turn-back stations.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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Adjustment results of weight factors.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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Comparative discussion on database-1.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Schematic view of fog layer.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Simulation parameter.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Systematic model of fog-cloud COVID prediction.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Comparative discussion on database-2.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Solution encoding.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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51
Architectural view of DNFN.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Modelled view of cloud layer.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Architecture of Deep LSTM.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Architectural view of PSP-Net.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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Simulation parameters.
Published 2023“…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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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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