Identification of switched autoregressive exogenous systems from large noisy datasets

S Hojjatinia, CM Lagoa… - International journal of …, 2020 - Wiley Online Library
The article introduces novel methodologies for the identification of coefficients of switching
autoregressive moving average with exogenous input systems and switched autoregressive …

Comparison of different spike sorting subtechniques based on rat brain basolateral amygdala neuronal activity

S Hojjatinia, CM Lagoa - 2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
Developing electrophysiological recordings of brain neuronal activity and their analysis
provide a basis for exploring the structure of brain function and nervous system …

Identification of switched autoregressive systems from large noisy data sets

S Hojjatinia, CM Lagoa… - 2019 American Control …, 2019 - ieeexplore.ieee.org
The paper introduces a novel methodology for the identification of coefficients of switched
autoregressive linear models. We consider the case when the system's outputs are …

Dynamic models of stress-smoking responses based on high-frequency sensor data

S Hojjatinia, ER Daly, T Hnat, SM Hossain… - npj Digital …, 2021 - nature.com
Self-reports indicate that stress increases the risk for smoking; however, intensive data from
sensors can provide a more nuanced understanding of stress in the moments leading up to …

Identification of switched autoregressive and switched autoregressive exogenous systems from large noisy data sets

S Hojjatinia, CM Lagoa, F Dabbene - arXiv preprint arXiv:1908.11713, 2019 - arxiv.org
The paper introduces novel methodologies for the identification of coefficients of switched
autoregressive and switched autoregressive exogenous linear models. We consider cases …

[图书][B] Data Analysis and System Identification Algorithms for Behavioral Dynamical Modeling

S Hojjatinia - 2022 - search.proquest.com
In the past few years, the development and advancements in new sensing technologies and
wearable activity monitors have enabled the collection of high frequency individual data …

[图书][B] Modeling, Monitoring and Scheduling Techniques for Network Recovery from Massive Failures

DZ Tootaghaj - 2018 - search.proquest.com
The Pennsylvania State University The Graduate School College of Engineering
MODELING, MONITORING AND SCHEDULING TECHNIQUES FOR Page 1 The …

System Identification Algorithms for Noisy Data with Application to Behavior Modeling

S Hojjatinia - 2020 - etda.libraries.psu.edu
Behavioral medicine is a branch of science which studies the biological, behavioral,
psychological, and social sciences relevant to health and illness. Control system …