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4 days ago · In this study, we develop systematic methods, applying statistical analysis and dynamical-systems theory, to reduce parameter count in a biophysical model. We ...
6 days ago · The optimization of parameters was performed using the Nelder–Mead method, a technique for finding local minima without relying on function derivatives.
6 days ago · [72] introduced an improved teaching learning based optimization (TLBO) method by adjusting the Tsallis entropy parameters and integrating a support vector ...
6 days ago · The magnetic fields of simple currents are described. •. Gradient coils are explained. •. The relation between the various spatial field derivatives is ...
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Jul 23, 2024 · Parameter-Free ... A Fast Method for Fuzzy Rules Learning with Derivative-Free Optimization by Formulating Independent Evaluations of Each Fuzzy Rule ...
Jul 9, 2024 · This work proposes (time) cost-effective diagnostic assistance that leverages artificial intelligence systems to help ED clinicians make efficient and accurate ...
Jul 5, 2024 · Using these models, we demonstrate that when the information provided by different channels is not independent, linear fusion performs sub-optimally and even ...
Jul 16, 2024 · The architectural hyperparameters of MViT are optimized using Quantum Dynamic Optimization, which ensures a Pareto-optimal solution. The Peak Signal-to ...
3 days ago · Because our method is extremely fast, we were able to optimize these parameters for each population to account for differences in sample size and demography.
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3 days ago · We systematically explored how varying the number and positions of alkyl chains on lateral thiophene rings affects the photovoltaic properties. The geometric ...