Yongming Huang
Orcid: 0000-0001-8376-3502Affiliations:
- Southeast University, College of Automation, Key Laboratory of Measurement and Control of Complex Systems of Engineering (CSE), Nanjing, China
- Southeast University, Nanjing, China (PhD 2012)
According to our database1,
Yongming Huang
authored at least 24 papers
between 2009 and 2024.
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Bibliography
2024
Secure iterative interval estimation method for cyber-physical systems subject to stealthy deception attacks.
Trans. Inst. Meas. Control, 2024
Erratum to "Clustering-Based Granular Representation of Time Series With Application to Collective Anomaly Detection".
IEEE Trans. Instrum. Meas., 2024
J. Syst. Control. Eng., 2024
A variable threshold weight approach to dynamic event-triggered consensus control for leader-following multi-agent systems under asynchronous DoS attacks.
J. Frankl. Inst., 2024
Dynamic weight-based granular representation of time series and its application in collective anomaly detection.
Comput. Electr. Eng., 2024
Proceedings of the 2024 3rd International Conference on Cyber Security, 2024
2023
A New Approach to Fault Estimation of Discrete-Time Markov Jump Fuzzy Systems with Iterative Current Observers.
Int. J. Fuzzy Syst., November, 2023
Bidirectional piecewise linear representation of time series with application to collective anomaly detection.
Adv. Eng. Informatics, October, 2023
Identification of depression state based on multi-scale acoustic features in interrogation environment.
IET Signal Process., April, 2023
Clustering-Based Granular Representation of Time Series With Application to Collective Anomaly Detection.
IEEE Trans. Instrum. Meas., 2023
Bidirectional Piecewise Linear Representation of Time Series and its Application in Clustering.
IEEE Trans. Instrum. Meas., 2023
2022
J. Intell. Fuzzy Syst., 2022
Evaluation Model of Urban Smart Energy System Based on Improved Genetic Algorithm-Bp Neural Network.
Int. J. Pattern Recognit. Artif. Intell., 2022
2020
Int. J. Pattern Recognit. Artif. Intell., 2020
2019
Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition.
J. Ambient Intell. Humaniz. Comput., 2019
Clust. Comput., 2019
IEEE Access, 2019
2017
Novel Sub-band Spectral Centroid Weighted Wavelet Packet Features with Importance-Weighted Support Vector Machines for Robust Speech Emotion Recognition.
Wirel. Pers. Commun., 2017
Half-soft starting control of switched reluctance motor using discrete position signal processing.
Clust. Comput., 2017
2016
Feature Fusion Methods for Robust Speech Emotion Recognition Based on Deep Belief Networks.
Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016
2015
Extraction of adaptive wavelet packet filter-bank-based acoustic feature for speech emotion recognition.
IET Signal Process., 2015
2014
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014
2009
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009