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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
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141
Contrast enhancement of digital images using dragonfly algorithm
Published 2024“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”
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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Published 2025“…In this paper, we introduce a Bayesian optimization algorithm for conformational ensemble augmentation, that is, locating missing conformers in an existing ensemble, which employs Bayesian optimization with physics-informed torsion-potential-based kernel function and a novel acquisition function that prioritizes potential energy surface exploration for increased conformer diversity. …”
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148
Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Published 2025“…In this paper, we introduce a Bayesian optimization algorithm for conformational ensemble augmentation, that is, locating missing conformers in an existing ensemble, which employs Bayesian optimization with physics-informed torsion-potential-based kernel function and a novel acquisition function that prioritizes potential energy surface exploration for increased conformer diversity. …”
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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Published 2025“…In this paper, we introduce a Bayesian optimization algorithm for conformational ensemble augmentation, that is, locating missing conformers in an existing ensemble, which employs Bayesian optimization with physics-informed torsion-potential-based kernel function and a novel acquisition function that prioritizes potential energy surface exploration for increased conformer diversity. …”
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On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem
Published 2019“…With the involvement of cross-entropy in the loss function of Q-learning, an efficient policy to decide when and where to predict or query an instance is learned through the developed framework. …”
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Locally sparse function-on-function regression
Published 2022“…Herein, we consider the case where both the response and covariates are functions. …”
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PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset.
Published 2025Subjects: -
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