Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based models » based model (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based models » based model (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
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141
Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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142
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction
Published 2019“…In the present research, we propose and discuss a straightforward strategy not based on any learning modelling but exclusively relying upon the chemical similarity of a query compound to reference compounds with annotated activity against cell lines. …”
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MCR’s train diagram.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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150
Definition of variables.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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151
Fleet size sensitivity analysis.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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152
Other parameters.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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153
Rolling stocks’ information.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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154
Train operation plan.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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155
Definition of sets and indices.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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156
Systematic comparison of related studies.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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157
Objective function value statistics.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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158
Definition of parameters.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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159
Alternate routes’ information.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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160
MOR’s train diagram.
Published 2023“…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”