Nian Zhang
Orcid: 0000-0003-1916-7719
According to our database1,
Nian Zhang
authored at least 81 papers
between 2003 and 2023.
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Bibliography
2023
An extended hybrid decision-making method under Fermatean hesitant fuzzy set based on regret theory.
J. Ambient Intell. Humaniz. Comput., December, 2023
A neurodynamics-based nonnegative matrix factorization approach based on discrete-time projection neural network.
J. Ambient Intell. Humaniz. Comput., December, 2023
Fast Attack Detection Method for Imbalanced Data in Industrial Cyber-Physical Systems.
J. Artif. Intell. Soft Comput. Res., October, 2023
IEEE Trans. Intell. Transp. Syst., August, 2023
Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure.
Adv. Eng. Informatics, August, 2023
Special issue on deep interpretation of deep learning: prediction, representation, modeling and utilization.
Neural Comput. Appl., May, 2023
Knowl. Based Syst., March, 2023
World Wide Web (WWW), January, 2023
An approach of selecting cold chain logistics service provider based on SNAand FCE method.
J. Intell. Fuzzy Syst., 2023
Manhattan Nonnegative matrix factorization using the alternating direction method of multipliers.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023
2022
Multi-label modality enhanced attention based self-supervised deep cross-modal hashing.
Knowl. Based Syst., 2022
Channel exchange and adversarial learning guided cross-modal person re-identification.
Knowl. Based Syst., 2022
Research on Green Closed-Loop Supply Chain Considering Manufacturer's Fairness Concerns and Sales Effort.
J. Theor. Appl. Electron. Commer. Res., 2022
Research on Green Supplier Selection Based on Hesitant Fuzzy Set and Extended LINMAP Method.
Int. J. Fuzzy Syst., 2022
Int. J. Artif. Intell. Tools, 2022
IET Image Process., 2022
A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the ICCMS 2022: The 14th International Conference on Computer Modeling and Simulation, Chongqing, China, June 24, 2022
Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022
2021
Detecting slender objects with uncertainty based on keypoint-displacement representation.
Neural Networks, 2021
Mob. Inf. Syst., 2021
Application of catastrophe progression method on hybrid multiple attribute decision-making problems based on regret theory.
J. Intell. Fuzzy Syst., 2021
Int. J. Artif. Intell. Tools, 2021
LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks.
Complex., 2021
A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification.
Comput. Intell. Neurosci., 2021
Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks.
Cybern. Syst., 2021
Cybern. Syst., 2021
Analysis of Multi-Phase Trans-Inductor Voltage Regulator with Fast Transient Response for Large Load Current Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
A 5.72-μW, 1.02-MHz, -40~125°C, 1μs-Startup Time Relaxation Oscillation with Fully-on-Chip Voltage Reference and LDO Regulator.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021
2020
A novel method for multi-attribute risk decision-making based on regret theory and hybird information.
J. Intell. Fuzzy Syst., 2020
Int. J. Comput. Intell. Syst., 2020
Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM).
CoRR, 2020
Complex., 2020
Supply Chain Decision-Making and Coordination considering Anticipated Regret under Price Discount.
Complex., 2020
IEEE Access, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM).
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm.
Neural Comput. Appl., 2019
Dual hesitant fuzzy linguistic power-geometric operators based on Archimedean t-conorms and t-norms and their application to group decision making.
J. Intell. Fuzzy Syst., 2019
A novel superiority and inferiority ranking method for engineering investment selection under interval-valued intuitionistic fuzzy environment.
J. Intell. Fuzzy Syst., 2019
Dual Hesitant Fuzzy Linguistic Power-Average Operators Based on Archimedean t-Conorms and t-Norms.
IEEE Access, 2019
IEEE Access, 2019
2018
MAGDM method based on interval grey linguistic correlated ordered geometric operators.
J. Intell. Fuzzy Syst., 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Supervised Feature Selection Method for High-Dimensional Data Classification in Photo-Thermal Infrared Imaging with Limited Training Data.
Proceedings of the 5th International Conference on Control, 2018
2017
Neural Comput. Appl., 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2016
An effective LS-SVM-based approach for surface roughness prediction in machined surfaces.
Neurocomputing, 2016
Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016
Building a more diverse biomedical engineering workforce: Biomedical engineering at the university of the district of Columbia, a historically black college & university.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Independent component analysis based blind source separation algorithm and its application in the gravity and magnetic signal processing.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method.
J. Intell. Fuzzy Syst., 2014
A novel SIR method for multiple attributes group decision making problem under hesitant fuzzy environment.
J. Intell. Fuzzy Syst., 2014
2013
Solar radiation prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks.
Proceedings of the IEEE International Systems Conference, 2013
Proceedings of the IEEE International Systems Conference, 2013
2012
Solar radiation prediction based on recurrent neural networks trained by Levenberg-Marquardt backpropagation learning algorithm.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010
2008
Real time implementation of Particle Swarm Optimiation based model parameter identification and an application example.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm.
Neurocomputing, 2007
Behavior-Based Autonomous Robot Navigation on Challenging Terrain: A Dual Fuzzy Logic Approach.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
IEEE Trans. Fuzzy Syst., 2006
Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP).
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003