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2020 – today
- 2024
[j18]Henry Ndu
, Akbar Sheikh-Akbari, Jiamei Deng, Iosif Mporas:
HyperVein: A Hyperspectral Image Dataset for Human Vein Detection. Sensors 24(4): 1118 (2024)- 2023
- [j17]Chenglin Yang, Jiamei Deng, Xianlai Chen, Ying An:
SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information. J. Biomed. Informatics 145: 104456 (2023) - 2022
- [j16]Amine Naimi, Jiamei Deng, Vineet Vajpayee, Victor M. Becerra, S. R. Shimjith, A. John Arul:
Nonlinear Model Predictive Control Using Feedback Linearization for a Pressurized Water Nuclear Power Plant. IEEE Access 10: 16544-16555 (2022) - [j15]Amine Naimi, Jiamei Deng, S. R. Shimjith, A. John Arul:
Fault Detection and Isolation of a Pressurized Water Reactor Based on Neural Network and K-Nearest Neighbor. IEEE Access 10: 17113-17121 (2022) - [j14]Xiaotian Zhang, Yihua Hu, Jiamei Deng, Hui Xu, Huiqing Wen:
Feature Engineering and Artificial Intelligence-Supported Approaches Used for Electric Powertrain Fault Diagnosis: A Review. IEEE Access 10: 29069-29088 (2022) - [j13]Amine Naimi, Jiamei Deng, Paul Doney, Akbar Sheikh-Akbari, S. R. Shimjith, A. John Arul:
Machine Learning-Based Fault Diagnosis for a PWR Nuclear Power Plant. IEEE Access 10: 126001-126010 (2022) - [c18]Piyush V. Surjagade, Jiamei Deng, Vineet Vajpayee, Victor M. Becerra, S. R. Shimjith, A. John Arul:
Fractional Order Integral Sliding Mode Control for PWR Nuclear Power Plant. ECC 2022: 987-992 - [c17]Amine Naimi, Jiamei Deng, Akbar Sheikh-Akbari, S. R. Shimjith, A. John Arul:
Input-Output Feedback Linearization Control for a PWR Nuclear Power Plant. ECC 2022: 1415-1420 - 2021
- [j12]Hao Xie, Fucheng Liao, Yunan Chen, Xinyue Zhang, Minli Li, Jiamei Deng:
Finite-Time Bounded Tracking Control for Fractional-Order Systems. IEEE Access 9: 11014-11023 (2021) - [j11]Mengyuan Sun, Fucheng Liao, Jiamei Deng:
Design of an optimal preview controller for linear discrete-time periodic systems. Trans. Inst. Meas. Control 43(12) (2021) - 2020
- [j10]Xiao Yu, Fucheng Liao, Jiamei Deng:
Tracking Controller Design with Preview Action for a Class of Lipschitz Nonlinear Systems and its Applications. Circuits Syst. Signal Process. 39(6): 2922-2947 (2020) - [c16]Vineet Vajpayee, Victor M. Becerra, Nils Bausch, Shohan Banerjee, Jiamei Deng, S. R. Shimjith, A. John Arul:
Robust Subspace Predictive Control based on Integral Sliding Mode for a Pressurized Water Reactor. CoDIT 2020: 7-12 - [c15]Vineet Vajpayee, Victor M. Becerra, Nils Bausch, Shohan Banerjee, Jiamei Deng, S. R. Shimjith, A. John Arul:
Disturbance Observer-based Subspace Predictive Control of a Pressurized Water-type Nuclear Reactor. CoDIT 2020: 1012-1017 - [c14]Shohan Banerjee, Jiamei Deng, Vineet Vajpayee, Victor M. Becerra, Nils Bausch, S. R. Shimjith, A. John Arul:
Interval Approach for Stability Analysis of a Pressurized Water Reactor with Parametric Uncertainty using LMI based H-infinity Controller. DeSE 2020: 21-26 - [c13]Amine Naimi, Jiamei Deng, S. R. Shimjith, A. John Arul:
Dynamic Neural Network-based Feedback Linearization Control of a Pressurized Water Reactor. DeSE 2020: 228-232 - [c12]Shohan Banerjee, Jiamei Deng, Chris Gorse, Vineet Vajpayee, Victor M. Becerra, S. R. Shimjith:
ANN Based Sensor and Actuator Fault Detection in Nuclear Reactors. ICCMA 2020: 88-94 - [c11]Amine Naimi, Jiamei Deng, Altahhan Abdulrahman, Vineet Vajpayee, Victor M. Becerra, Nils Bausch:
Dynamic Neural Network-based System Identification of a Pressurized Water Reactor. ICCMA 2020: 100-104 - [c10]Vineet Vajpayee, Victor M. Becerra, Nils Bausch, Shohan Banerjee, Jiamei Deng, S. R. Shimjith, A. John Arul:
Gain Scheduled Subspace Predictive Control of a Pressurized Water-type Nuclear Reactor. MED 2020: 91-96
2010 – 2019
- 2019
- [j9]Fucheng Liao, Chen Jia, Usman Malik, Xiao Yu, Jiamei Deng:
The preview control of a class of linear systems and its application in the fault-tolerant control theory. Int. J. Syst. Sci. 50(5): 1017-1027 (2019) - [j8]Yanrong Lu, Fucheng Liao, Jiamei Deng, Colin Pattinson:
Cooperative optimal preview tracking for linear descriptor multi-agent systems. J. Frankl. Inst. 356(2): 908-934 (2019) - [c9]Shohan Banerjee, Jiamei Deng, Vineet Vajpayee, Victor M. Becerra, Nils Bausch, S. R. Shimjith, A. John Arul:
LMI Based Robust PID Controller Design for PWR with Bounded Uncertainty using Interval Approach. ICCMA 2019: 253-259 - 2018
- [j7]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik:
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants. Neurocomputing 322: 102-119 (2018) - [j6]Fucheng Liao, Yu Wang, Yanrong Lu, Jiamei Deng:
Optimal preview control for a class of linear continuous-time large-scale systems. Trans. Inst. Meas. Control 40(14): 4004-4013 (2018) - [c8]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh:
A Constraint-Based Random Search Algorithm for Optimizing Neural Network Architectures and Ensemble Construction in Detecting Loss of Coolant Accidents in Nuclear Power Plants. DeSE 2018: 237-243 - [c7]David Tian, Jiamei Deng, Enrico Zio, Francesco Di Maio, Fucheng Liao:
Failure Modes Detection of Nuclear Systems Using Machine Learning. DSA 2018: 35-43 - [p1]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik:
A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants. Applications of Big Data Analytics 2018: 43-61 - 2017
- [j5]Yanrong Lu, Fucheng Liao, Jiamei Deng, Huiyang Liu:
Cooperative global optimal preview tracking control of linear multi-agent systems: an internal model approach. Int. J. Syst. Sci. 48(12): 2451-2462 (2017) - 2014
- [j4]Dezong Zhao, Cunjia Liu, Richard K. Stobart, Jiamei Deng, Edward Winward, Guangyu Dong:
An Explicit Model Predictive Control Framework for Turbocharged Diesel Engines. IEEE Trans. Ind. Electron. 61(7): 3540-3552 (2014) - [c6]Jiamei Deng, Andrew Ordys:
Modelling and control of hybrid systems - A forward look. CCECE 2014: 1-6 - 2013
- [j3]Jiamei Deng:
Dynamic neural networks with hybrid structures for nonlinear system identification. Eng. Appl. Artif. Intell. 26(1): 281-292 (2013) - [c5]Dezong Zhao, Cunjia Liu, Richard K. Stobart, Jiamei Deng, Edward Winward:
Explicit model predictive control on the air path of turbocharged diesel engines. ACC 2013: 5213-5218 - 2012
- [j2]Jiamei Deng, Bastian Maass, Richard K. Stobart:
Minimum Data Requirement for Neural Networks Based on Power Spectral Density Analysis. IEEE Trans. Neural Networks Learn. Syst. 23(4): 587-595 (2012)
2000 – 2009
- 2009
- [j1]Jiamei Deng, Victor M. Becerra, Richard K. Stobart:
Input Constraints Handling in an MPC/Feedback Linearization Scheme. Int. J. Appl. Math. Comput. Sci. 19(2): 219-232 (2009) - [c4]Bastian Maass, Richard K. Stobart, Jiamei Deng:
Diesel engine emissions prediction using parallel neural networks. ACC 2009: 1122-1127 - 2007
- [c3]Jiamei Deng, Victor M. Becerra, Richard K. Stobart:
Predictive control using feedback linearization based on dynamic neural models. SMC 2007: 2716-2721 - [c2]Jiamei Deng, Richard K. Stobart, Alexandros Plianos:
Combined hybrid clustering techniques and neural fuzzy networks to predict diesel engine emissions. SMC 2007: 3609-3614 - 2004
- [c1]Jiamei Deng, Victor M. Becerra:
Application of constrained predictive control on a 3D crane system. RAM 2004: 583-587
Coauthor Index
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