关注
Hamid Khodabandehlou
Hamid Khodabandehlou
Senior Data Modeler at Mercury Financials LLC
在 nevada.unr.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Vibration‐based structural condition assessment using convolution neural networks
H Khodabandehlou, G Pekcan, MS Fadali
Structural Control and Health Monitoring 26 (2), e2308, 2019
2122019
A machine‐learning approach to calibrate generic Raman models for real‐time monitoring of cell culture processes
A Tulsyan, G Schorner, H Khodabandehlou, T Wang, M Coufal, C Undey
Biotechnology and Bioengineering 116 (10), 2575-2586, 2019
532019
Automatic real‐time calibration, assessment, and maintenance of generic Raman models for online monitoring of cell culture processes
A Tulsyan, T Wang, G Schorner, H Khodabandehlou, M Coufal, C Undey
Biotechnology and Bioengineering 117 (2), 406-416, 2020
492020
Active neural predictive control of seismically isolated structures
H Khodabandehlou, G Pekcan, MS Fadali, MMA Salem
Structural Control and Health Monitoring 25 (1), e2061, 2018
362018
Spectroscopic models for real‐time monitoring of cell culture processes using spatiotemporal just‐in‐time Gaussian processes
A Tulsyan, H Khodabandehlou, T Wang, G Schorner, M Coufal, C Undey
AIChE Journal 67 (5), e17210, 2021
202021
Hybrid state estimation using distributed compressive sensing
RJ Hamidi, H Khodabandelou, H Livani, M Sami-Fadali
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
162016
Application of distributed compressive sensing to power system state estimation
RJ Hamidi, H Khodabandehlou, H Livani, MS Fadali
2015 North American Power Symposium (NAPS), 1-6, 2015
162015
A quotient gradient method to train artificial neural networks
H Khodabandehlou, MS Fadali
2017 International Joint Conference on Neural Networks (IJCNN), 2576-2581, 2017
14*2017
Echo state versus wavelet neural networks: comparison and application to nonlinear system identification
H Khodabandehlou, MS Fadali
IFAC-PapersOnLine 50 (1), 2800-2805, 2017
122017
Nonlinear System Identification using Neural Networks and Trajectory-Based Optimization
H Khodabandehlou, MS Fadali
16th International Conference on Informatics in Control, Automation and …, 2019
112019
Model predictive controller design for bioprocesses based on machine learning algorithms
M Rashedi, H Khodabandehlou, M Demers, T Wang, C Garvin
IFAC-PapersOnLine 55 (7), 45-50, 2022
102022
Networked control of unmanned vehicle using wavelet-based generalized predictive controller
H Khodabandehlou, MS Fadali
2016 International Joint Conference on Neural Networks (IJCNN), 5226-5233, 2016
102016
Event classification in distribution networks using a quotient gradient system
H Khodabandehlou, I Niazazari, H Livani, MS Fadali
2019 North American Power Symposium (NAPS), 1-6, 2019
9*2019
Machine learning‐based model predictive controller design for cell culture processes
M Rashedi, M Rafiei, M Demers, H Khodabandehlou, T Wang, A Tulsyan, ...
Biotechnology and Bioengineering 120 (8), 2144-2159, 2023
62023
Training recurrent neural networks via dynamical trajectory-based optimization
H Khodabandehlou, MS Fadali
Neurocomputing 368, 1-10, 2019
42019
Networked Model Predictive Control Using a Wavelet Neural Network
H Khodabandehlou, MS Fadali
Advanced Control for Applications 2 (4), 2020
32020
Cell culture product quality attribute prediction using convolutional neural networks and Raman spectroscopy
H Khodabandehlou, M Rashedi, T Wang, A Tulsyan, G Schorner, ...
Biotechnology and Bioengineering, 2024
12024
Adaptive Matching Pursuit based Online Identification and Control Scheme for Nonlinear Systems
H Khodabandehlou
arXiv preprint arXiv:1803.01897, 2018
12018
Integration of just‐in‐time learning with variational autoencoder for cell culture process monitoring based on Raman spectroscopy
M Rashedi, H Khodabandehlou, T Wang, M Demers, A Tulsyan, C Garvin, ...
Biotechnology and Bioengineering, 2024
2024
Just-In-Time Learning With Variational Autoencoder For Cell Culture Process Monitoring And/Or Control
M Rashedi, H Khodabandehlou, TY Wang, A Tulsyan
US Patent App. 18/367,580, 2024
2024
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