Search alternatives:
reduction algorithm » prediction algorithm (Expand Search), prediction algorithms (Expand Search), detection algorithm (Expand Search)
sequence reduction » sequence prediction (Expand Search), sequence predictions (Expand Search), source reduction (Expand Search)
reduction algorithm » prediction algorithm (Expand Search), prediction algorithms (Expand Search), detection algorithm (Expand Search)
sequence reduction » sequence prediction (Expand Search), sequence predictions (Expand Search), source reduction (Expand Search)
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Exploiting travel sequences to optimise facility layouts with multiple input/output points
Published 2024“…While the study focuses on fertiliser manufacturing, the findings are applicable to other settings, such as warehousing, where complex movement sequences and multiple IO points are common in processes like picking, packing, and shipping.…”
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Table 1_Exploring the impact of deubiquitination on melanoma prognosis through single-cell RNA sequencing.docx
Published 2024“…Cell types were annotated based on known marker genes, and the AUCell algorithm assessed the enrichment of deubiquitination-related genes. …”
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Data Sheet 1_Exploring the impact of deubiquitination on melanoma prognosis through single-cell RNA sequencing.zip
Published 2024“…Cell types were annotated based on known marker genes, and the AUCell algorithm assessed the enrichment of deubiquitination-related genes. …”
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Error measure comparison for Davis dataset.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Feature optimization using MRO.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Error measure comparison for Binding-DB dataset.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Feature extraction by HUNet.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Error measure comparison for KIBA dataset.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Statistical description of datasets.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Drug discovery for NSCLC patients using DTransL.
Published 2025“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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