Modeling Discrete Combinatorial Systems as Alphabetic Bipartite Networks: Theory and Applications

Modeling non-Gaussian 1/f Noise by the Stochastic Differential Equations

Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network Infrastructure

Modeling Spacing Distribution of Queuing Vehicles in Front of a Signalized Junction Using Random-Matrix Theory

Modeling spatiotemporal noise covariance for MEG/EEG source analysis

Modeling the structure and evolution of discussion cascades

Modeling, Performance Analysis and Comparison of Two Level Single Chain Pointer Forwarding Strategy For Location Management in Wireless Mobile Communication

Modelling of 1/f noise by sequences of stochastic pulses of different duration

Modular Implementation of Particle Flow Algorithm with Minimized Dependence on the Detector Geometry

Modular organization as a basis for the functional integration/segregation in large-scale brain networks

Modularity and community detection in bipartite networks

Modularity and community structure in networks

Modularity-Maximizing Network Communities via Mathematical Programming

Module identification in bipartite and directed networks

Mona Lisa, the stochastic view and fractality in color space

Monte Carlo Calculation of the Single-Particle Spin-Echo Small-Angle Neutron Scattering Correlation Function

Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification

Monte Carlo simulation of virtual Compton scattering below pion threshold

Monte Carlo uncertainty estimation for wavelength calibration

Moving Taylor Bayesian Regression for nonparametric multidimensional function estimation with possibly correlated errors