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Synthetic FCS data
The dataset used in this paper is a collection of simulated FCS experiments with various motion parameters and experimental setup parameters. -
Anomalous diffusion dynamics of learning in deep neural networks
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used ResNet-14, ResNet-20, ResNet-56, and ResNet-110 networks, as well as... -
Boosting the performance of anomalous diffusion classifiers with the proper c...
Understanding and identifying different types of single molecules' diffusion that occur in a broad range of systems (including living matter) is extremely important, as it can... -
Identification of Anomalous Diffusion Sources by Unsupervised Learning
Fractional Brownian motion (fBm) is a ubiquitous diffusion process in which the memory effects of the stochastic transport result in the mean squared particle displacement... -
Anomalous Diffusion
Anomalous diffusion dataset, containing trajectories of molecules, cells, or animals. -
Anomalous Diffusion Challenge
Anomalous Diffusion Challenge dataset, containing single-particle trajectories of diffusive motion of molecules, cells, or animals. -
On Anomalous Diffusion of Devices in Molecular Communication Network
A 1-D mobile anomalous-diffusive channel, where transmitter and receiver can also move anomalously, is considered. -
Ergodic characterization of non-ergodic anomalous diffusion processes
The dataset used in this paper is a collection of synthetic time series representing various anomalous diffusion processes.