Results 11 to 20 of about 7,798,024 (252)
Simulations of Heart Function [PDF]
BioMed Research International, 2015 Peer ...
Rodrigo Weber dos Santos +3 more
openaire +3 more sources
Tools for functional simulation [PDF]
Proceedings of the 25th conference on Winter simulation - WSC '93, 1993 Functional languages are useful for some types of simulation programming because they offer a clean, high-level programming style with powerful features such as higher-order functions and lazy evaluation. However, since functional languages are not specialized for simulation, they lack the powerful tools offered in simulation languages.
A. Bloss, M. Keenan, K. Johnson
openaire +1 more source
On the importance function in splitting simulation [PDF]
European Transactions on Telecommunications, 2002 AbstractThesplitting methodis a simulation technique for the estimation of very small probabilities. In this technique, the sample paths are split into multiple copies, at various stages in the simulation. Of vital importance to the efficiency of the method is theImportance Function(IF). This function governs the placement of the thresholds or surfaces
Marnix J. J. Garvels +2 more
openaire +7 more sources
Simulated performance intensity functions [PDF]
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011 Measuring speech intelligibility for different hearing aid fitting methods in a simulated environment would allow rapid prototyping and early design assessment. A simulated performance intensity function (SPIF) test methodology has been developed to allow experimentation using an auditory nerve model to predict listeners' phoneme recognition.
Andrew Hines, Naomi Harte
openaire +3 more sources
Z-contraction condition involving simulation function in b-metric space under fixed points considerations [PDF]
Mathematica Moravica, 2021 The purpose of this paper is to prove a common fixed point theorems for two pairs of mappings under the generalized Z-contraction with respect to the concept of simulation function in b-metric space.
Hamaizia Taieb, Murthy P. P.
doaj +1 more source
Frontiers in Computational Neuroscience, 2021 Reinforcement learning is a paradigm that can account for how organisms learn to adapt their behavior in complex environments with sparse rewards. To partition an environment into discrete states, implementations in spiking neuronal networks typically ...
Philipp Weidel +4 more
doaj +1 more source
Frontiers in Neuroinformatics, 2018 The reproduction and replication of scientific results is an indispensable aspect of good scientific practice, enabling previous studies to be built upon and increasing our level of confidence in them.
Guido Trensch +6 more
doaj +1 more source
Frontiers in Neuroinformatics, 2018 Computational neuroscience relies on simulations of neural network models to bridge the gap between the theory of neural networks and the experimentally observed activity dynamics in the brain.
Robin Gutzen +8 more
doaj +1 more source
On Pata–Suzuki-Type Contractions
Mathematics, 2020 In this manuscript, we introduce two notions, Pata−Suzuki Z -contraction and Pata Z -contraction for the pair of self-mapping g , f in the context of metric spaces. For such types of contractions, both the existence and uniqueness
Erdal Karapınar, V. M. L. Hima Bindu
doaj +1 more source
Simulating the Function of the MjNhaP1 Transporter [PDF]
The Journal of Physical Chemistry B, 2016 The structures of transport proteins have been steadily revealed in the last few decades, and yet the conversion of this information into molecular-level understanding of their function is still lagging behind. In this study, we try to elucidate how the action of the archaeal sodium/proton antiporter MjNhaP1 depends on its structure-energy relationship.
Raphael, Alhadeff, Arieh, Warshel
openaire +2 more sources