Sen Zhang

Orcid: 0000-0002-8010-6045

Affiliations:
  • University of Science and Technology Beijing, School of Automation & Electrical Engineering, China
  • Ministry of Education, Key Laboratory of Knowledge Automation for Industrial Processes, Beijing, China


According to our database1, Sen Zhang authored at least 51 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Inter-patient ECG classification with intra-class coherence based weighted kernel extreme learning machine.
Expert Syst. Appl., October, 2023

Reconstruction and classification of 3D burden surfaces based on two model drived data fusion.
Expert Syst. Appl., April, 2023

Inverse Calculation of Burden Distribution Matrix Using B-Spline Model Based PDF Control in Blast Furnace Burden Charging Process.
IEEE Trans. Ind. Informatics, 2023

2022
Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification.
Neurocomputing, 2022

Weight-sharing network structure based on multi-channel EEG time-frequency map.
Biomed. Signal Process. Control., 2022

2021
Data and knowledge driven approach for burden surface optimization in blast furnace.
Comput. Electr. Eng., 2021

Precise Burden Charging Operation During Iron-Making Process in Blast Furnace.
IEEE Access, 2021

2020
Data-Driven Multiobjective Optimization for Burden Surface in Blast Furnace With Feedback Compensation.
IEEE Trans. Ind. Informatics, 2020

A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm.
Sensors, 2020

Improved multi-layer online sequential extreme learning machine and its application for hot metal silicon content.
J. Frankl. Inst., 2020

Composite adaptive control for bilateral teleoperation systems without persistency of excitation.
J. Frankl. Inst., 2020

Multilayer probability extreme learning machine for device-free localization.
Neurocomputing, 2020

Data-Driven Nonzero-Sum Game for Discrete-Time Systems Using Off-Policy Reinforcement Learning.
IEEE Access, 2020

Joint Matrix Factorization: A Novel Approach for Recommender System.
IEEE Access, 2020

Burden Surface Decision Using MODE With TOPSIS in Blast Furnace Ironmkaing.
IEEE Access, 2020

Prediction Model of Blast Furnace Gas Flow Distribution Based on GWO-ELM.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019
Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network.
Sensors, 2019

A Soft Sensing Scheme of Gas Utilization Ratio Prediction for Blast Furnace Via Improved Extreme Learning Machine.
Neural Process. Lett., 2019

Prediction model of hot metal temperature for blast furnace based on improved multi-layer extreme learning machine.
Int. J. Mach. Learn. Cybern., 2019

The Exploration/Exploitation Tradeoff in Whale Optimization Algorithm.
IEEE Access, 2019

Log Likelihood Monitoring for Multimode Process Using Variational Bayesian Mixture Factor Analysis Model.
IEEE Access, 2019

Extreme Learning Machine Ensemble for CSI based Device-free Indoor Localization.
Proceedings of the 28th Wireless and Optical Communications Conference, 2019

An Effective Personalised Ranking Model via User Information under the GAN Framework.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

Blast furnace condition data clustering based on combination of T-distributed stochastic neighbor embedding and spectral clustering.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018
Data-driven prediction model for adjusting burden distribution matrix of blast furnace based on improved multilayer extreme learning machine.
Soft Comput., 2018

The Prediction of the Gas Utilization Ratio based on TS Fuzzy Neural Network and Particle Swarm Optimization.
Sensors, 2018

Prediction of the hot metal silicon content in blast furnace based on extreme learning machine.
Int. J. Mach. Learn. Cybern., 2018

Kernel online sequential ELM algorithm with sliding window subject to time-varying environments.
Memetic Comput., 2018

Prediction model of permeability index for blast furnace based on the improved multi-layer extreme learning machine and wavelet transform.
J. Frankl. Inst., 2018

Residual compensation extreme learning machine for regression.
Neurocomputing, 2018

A Hierarchical Extreme Learning Machine Algorithm for Advertisement Click-Through Rate Prediction.
IEEE Access, 2018

A Modified Residual Extreme Learning Machine Algorithm and Its Application.
IEEE Access, 2018

2017
Advertisement Click-Through Rate Prediction Based on the Weighted-ELM and Adaboost Algorithm.
Sci. Program., 2017

Alumina Concentration Detection Based on the Kernel Extreme Learning Machine.
Sensors, 2017

Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction.
Sensors, 2017

A Framework for Learning Analytics Using Commodity Wearable Devices.
Sensors, 2017

A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces.
Sensors, 2017

Online sequential ELM algorithm with forgetting factor for real applications.
Neurocomputing, 2017

Class-specific cost regulation extreme learning machine for imbalanced classification.
Neurocomputing, 2017

2016
A modified ELM algorithm for the prediction of silicon content in hot metal.
Neural Comput. Appl., 2016

An improved ELM algorithm for the measurement of hot metal temperature in blast furnace.
Neurocomputing, 2016

Identification of single-anode model of aluminum electrolytic cell based on Levys method.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Online monitoring system of alumina concentration in aluminum electrolytic cell.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Performance evaluation for shape estimation of extended objects using a modified hausdorff distance.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2013
A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network.
Int. J. Distributed Sens. Networks, 2013

An Improved ELM Algorithm Based on EM-ELM and Ridge Regression.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012
Human Tracking for Daily Life Surveillance Based on a Wireless Sensor Network.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2012

2010
Mobile sensing and simultaneously node localization in wireless sensor networks for human motion tracking.
Proceedings of the 11th International Conference on Control, 2010

Sensor deployment strategy for random field estimation: One-dimensional case.
Proceedings of the 11th International Conference on Control, 2010

2009
Detection of Activities by Wireless Sensors for Daily Life Surveillance: Eating and Drinking.
Sensors, 2009

2008
Particle filter for target tracking in multi-modality wireless sensor networks.
Proceedings of the IEEE International Conference on Systems, 2008


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