Nan Hou

According to our database, Nan Hou authored at least 28 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Adaptive denoising method for leakage detection of liquid pipelines using automatic variational mode decomposition.

Jingyi Lu, Jiali Li, Xuefeng Zhao, Yao Chen, Lan Meng, Dandi Yang, Nan Hou

J. Frankl. Inst., 2025

2024

Distributed Fault Estimation Over Sensor Networks With Randomly Switching Topologies Under Binary Encoding Scheme.

Nan Hou, Zidong Wang, Hongli Dong, Yuxuan Shen, Hongjian Liu

IEEE Trans. Netw. Sci. Eng., 2024

2023

Participative leadership and employees' cyberloafing: A self-concept-based theory perspective.

Jian Peng, Nan Hou, Yanchun Zou, Ruizhi Long

Inf. Manag., December, 2023

Finite-horizon distributed set-membership filtering with dynamical bias and DoS attacks under binary encoding schemes.

Xuerong Li, Jinbo Song, Nan Hou, Dongyan Dai, Fan Yang

Inf. Sci., September, 2023

Finite-Horizon Variance-Constrained Estimation for Complex Networks Subject to Dynamical Bias Using Binary Encoding Schemes.

Weijian Li, Nan Hou, Fan Yang, Xianye Bu, Ligang Sun

IEEE Access, 2023

2022

Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme.

Nan Hou, Zidong Wang, Hongli Dong, Jun Hu, Xiaohui Liu

IEEE Trans. Netw. Sci. Eng., 2022

Finite-horizon resilient state estimation for complex networks with integral measurements from partial nodes.

Nan Hou, Jiahui Li, Hongjian Liu, Yuan Ge, Hongli Dong

Sci. China Inf. Sci., 2022

Novel leakage detection by ensemble 1DCNN-VAPSO-SVM in oil and gas pipeline systems.

Dandi Yang, Nan Hou, Jingyi Lu, Daan Ji

Appl. Soft Comput., 2022

Applications of Kalman Filtering in Time Series Prediction.

Xuegui Li, Shuo Feng, Nan Hou, Hanyang Li, Shuai Zhang, Zhen Jian, Qianlong Zi

Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

2021

A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol.

Nan Hou, Hongli Dong, Zidong Wang, Hongjian Liu

IEEE Trans. Neural Networks Learn. Syst., 2021

Outlier-resistant bserver-based H∞ PID control under stochastic communication protocol.

Haijing Fu, Jiahui Li, Fei Han, Nan Hou, Hongli Dong

Appl. Math. Comput., 2021

2020

Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks.

Nan Hou, Zidong Wang, Daniel W. C. Ho, Hongli Dong

IEEE Trans. Cybern., 2020

Fault estimation for time-varying systems with Round-Robin protocol.

Haijing Fu, Hongli Dong, Jinbo Song, Nan Hou, Gongfa Li

Kybernetika, 2020

Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol.

Xuerong Li, Fei Han, Nan Hou, Hongli Dong, Hongjian Liu

Int. J. Syst. Sci., 2020

Outlier-resistant <i>H</i>_∞ filtering for a class of networked systems under Round-Robin protocol.

Haijing Fu, Hongli Dong, Fei Han, Yuxuan Shen, Nan Hou

Neurocomputing, 2020

Fault estimation for complex networks with randomly varying topologies and stochastic inner couplings.

Hongli Dong, Nan Hou, Zidong Wang

Autom., 2020

2019

On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays.

Jiahui Li, Hongli Dong, Zidong Wang, Nan Hou, Fuad E. Alsaadi

Neural Comput. Appl., 2019

Dynamical performance analysis of communication-embedded neural networks: A survey.

Wei Chen, Derui Ding, Jingyang Mao, Hongjian Liu, Nan Hou

Neurocomputing, 2019

Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol.

Xianye Bu, Hongli Dong, Fei Han, Nan Hou, Gongfa Li

Neurocomputing, 2019

2018

Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies.

Hongli Dong, Nan Hou, Zidong Wang, Weijian Ren

IEEE Trans. Neural Networks Learn. Syst., 2018

Event-triggered non-fragile <i>H</i>_∞ fault detection for discrete time-delayed nonlinear systems with channel fadings.

Weijian Ren, Shibo Sun, Nan Hou, Chaohai Kang

J. Frankl. Inst., 2018

Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes.

Nan Hou, Hongli Dong, Weidong Zhang, Yurong Liu, Fuad E. Alsaadi

Int. J. Gen. Syst., 2018

2017

H_∞ state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels.

Nan Hou, Hongli Dong, Zidong Wang, Weijian Ren, Fuad E. Alsaadi

Neural Networks, 2017

Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels.

Hongli Dong, Xianye Bu, Nan Hou, Yurong Liu, Fuad E. Alsaadi, Tasawar Hayat

Inf. Fusion, 2017

State estimation for delayed Markovian jumping neural networks over sensor nonlinearities and disturbances.

Jiahui Li, Hongli Dong, Fei Han, Nan Hou

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016

Non-fragile state estimation for discrete Markovian jumping neural networks.

Nan Hou, Hongli Dong, Zidong Wang, Weijian Ren, Fuad E. Alsaadi

Neurocomputing, 2016

2015

Non-fragile H_∞ filtering for nonlinear systems with randomly occurring gain variations and channel fadings.

Weijian Ren, Nan Hou, Qiong Wang, Yang Lu, Xiaohui Liu

Neurocomputing, 2015

2014

Expression Profile of the <i>Schistosoma japonicum</i> Degradome Reveals Differential Protease Expression Patterns and Potential Anti-schistosomal Intervention Targets.

Shuai Liu, Pengfei Cai, Xianyu Piao, Nan Hou, Xiaosu Zhou, Chuang Wu, Heng Wang, Qijun Chen

PLoS Comput. Biol., 2014