Search alternatives:
process optimization » model optimization (Expand Search)
mols optimization » wolf optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
linear based » lines based (Expand Search), linear unbiased (Expand Search), linear lagged (Expand Search)
binary layer » boundary layer (Expand Search), final layer (Expand Search), linear layer (Expand Search)
layer mols » layer mdl (Expand Search), layer modulus (Expand Search)
process optimization » model optimization (Expand Search)
mols optimization » wolf optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
linear based » lines based (Expand Search), linear unbiased (Expand Search), linear lagged (Expand Search)
binary layer » boundary layer (Expand Search), final layer (Expand Search), linear layer (Expand Search)
layer mols » layer mdl (Expand Search), layer modulus (Expand Search)
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Prediction percentage distribution using different algorithms applied in our research.
Published 2025Subjects: -
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LIME visualizations for the 3Conv3Dense model, providing insight into its prediction process.
Published 2025Subjects: -
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AFO-ideal point method algorithm flowchart.
Published 2024“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”
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Running time comparison of different algorithms.
Published 2024“…Based on the prediction results, a Prediction-based SFV Active Reconfiguration (PSAR) algorithm is proposed to achieve seamless SFC migration and routing update before the user experience quality degrades, ensuring network consistency and high quality service. …”
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DataSheet_2_A decision-making method for reservoir operation schemes based on deep learning and whale optimization algorithm.docx
Published 2023“…IWGAN uses the loss function which integrates Wasserstein distance, gradient penalty and difference item, and dynamically adds random noise in the process of model training. The whale optimization algorithm is improved by introducing Logistic chaotic mapping to initialize population, non-linear convergence factor and adaptive weights, and Levy flight perturbation strategy. …”
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DataSheet_1_A decision-making method for reservoir operation schemes based on deep learning and whale optimization algorithm.docx
Published 2023“…IWGAN uses the loss function which integrates Wasserstein distance, gradient penalty and difference item, and dynamically adds random noise in the process of model training. The whale optimization algorithm is improved by introducing Logistic chaotic mapping to initialize population, non-linear convergence factor and adaptive weights, and Levy flight perturbation strategy. …”
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Work flow diagram for proposed algorithm SK4OA.
Published 2024“…Researchers have proposed several cryptographic methods to offer cloud data security; however, their execution times are linear and longer. A Security Key 4 Optimization Algorithm (SK4OA) with a non-linear run time is proposed in this paper. …”
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Architecture of the EfficientNetB3-based regression model used for cattle weight prediction.
Published 2025Subjects: -
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Optimal Design of Aqueous Two-Phase Systems for Biomolecule Partitioning
Published 2023“…By integrating these two ANN-GC models into the computer-aided design technique, the optimal ATPS is identified by solving an optimization-based mixed-integer non-linear programming (MINLP) problem. …”
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