Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
binary climate » binary image (Expand Search)
climate model » climate models (Expand Search), primate model (Expand Search)
library based » laboratory based (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
binary climate » binary image (Expand Search)
climate model » climate models (Expand Search), primate model (Expand Search)
library based » laboratory based (Expand Search)
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Comparison of ranks for classification algorithms across performance metrics.
Published 2022Subjects: -
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A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters
Published 2023“…The Fortran implementation of the algorithm is available as an open source library (https://github.com/qcuaeh/molalignlib) and is suitable to be used in global optimization methods for the identification of local minima or basins.…”
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Tradeoff between execution time and predictive performance for classification algorithms.
Published 2022Subjects: -
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An optimal solution for the HFS instance.
Published 2025“…Secondly, based on the data libraries of the IPMMPO, two tuple sets suitable for constraint programming modeling are further designed as data preprocessing. …”
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Hyperparameters of the LSTM Model.
Published 2025“…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …”
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Prediction results of individual models.
Published 2025“…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …”
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RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms
Published 2025“…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …”