Wheel defect detection with machine learning
G Krummenacher, CS Ong, S Koller… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Wheel defects on railway wagons have been identified as an important source of damage to
the railway infrastructure and rolling stock. They also cause noise and vibration emissions …
the railway infrastructure and rolling stock. They also cause noise and vibration emissions …
Function perturbations on singular Boolean networks
This paper is devoted to studying function perturbations on the transition matrix and
topological structure of a singular Boolean network (SBN) via the semi-tensor product of …
topological structure of a singular Boolean network (SBN) via the semi-tensor product of …
Maximum-likelihood adaptive filter for partially observed Boolean dynamical systems
M Imani, UM Braga-Neto - IEEE Transactions on Signal …, 2016 - ieeexplore.ieee.org
We present a framework for the simultaneous estimation of state and parameters of partially
observed Boolean dynamical systems (POBDS). Simultaneous state and parameter …
observed Boolean dynamical systems (POBDS). Simultaneous state and parameter …
Bayesian optimization objective-based experimental design
M Imani, SF Ghoreishi - 2020 American control conference …, 2020 - ieeexplore.ieee.org
Design has become a salient part of most of the scientific and engineering tasks, embracing
a wide range of domains including real experimental settings (eg, material discovery or drug …
a wide range of domains including real experimental settings (eg, material discovery or drug …
Boolean Kalman filter and smoother under model uncertainty
Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
state-space models that provide a rich framework for modeling many complex dynamical …
state-space models that provide a rich framework for modeling many complex dynamical …
Control of gene regulatory networks using Bayesian inverse reinforcement learning
M Imani, UM Braga-Neto - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states
to desirable ones has received much attention in recent years. Most of the existing methods …
to desirable ones has received much attention in recent years. Most of the existing methods …
Particle filters for partially-observed Boolean dynamical systems
M Imani, UM Braga-Neto - Automatica, 2018 - Elsevier
Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear
models with application in estimation and control of Boolean processes based on noisy and …
models with application in estimation and control of Boolean processes based on noisy and …
Control of gene regulatory networks with noisy measurements and uncertain inputs
M Imani, UM Braga-Neto - IEEE Transactions on Control of …, 2017 - ieeexplore.ieee.org
This paper is concerned with the problem of stochastic control of gene regulatory networks
(GRNs) observed indirectly through noisy measurements and with uncertainty in the …
(GRNs) observed indirectly through noisy measurements and with uncertainty in the …
Function perturbation impact on stability in distribution of probabilistic Boolean networks
X Li, H Li, Y Li, X Yang - Mathematics and Computers in Simulation, 2020 - Elsevier
In practical gene regulatory networks, function perturbation often occurs due to gene
mutation. This paper studies the function perturbation impact on the stability and set stability …
mutation. This paper studies the function perturbation impact on the stability and set stability …
Bayesian optimization for efficient design of uncertain coupled multidisciplinary systems
SF Ghoreishi, M Imani - 2020 American Control Conference …, 2020 - ieeexplore.ieee.org
Stabilization of complex cyber-physical systems is extremely important in keeping the critical
infrastructure and the environment safe. This is, in particular, critical in coupled …
infrastructure and the environment safe. This is, in particular, critical in coupled …