Dongyang Fu
Orcid: 0000-0003-0426-4356
According to our database1,
Dongyang Fu
authored at least 26 papers
between 2013 and 2024.
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Bibliography
2024
Remote. Sens., March, 2024
2023
Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images.
Remote. Sens., December, 2023
Remote Sensing Estimates of Particulate Organic Carbon Sources in the Zhanjiang Bay Using Sentinel-2 Data and Carbon Isotopes.
Remote. Sens., August, 2023
Evaluating Atmospheric Correction Methods for Sentinel-2 in Low-to-High-Turbidity Chinese Coastal Waters.
Remote. Sens., May, 2023
Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation.
Neural Process. Lett., February, 2023
Non-convex activated zeroing neural network model for solving time-varying nonlinear minimization problems with finite-time convergence.
Knowl. Based Syst., 2023
Discrete-Time Noise-Suppression Neural Dynamics for Optical Remote Sensing Image Extraction.
IEEE Access, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2022
Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection.
IEEE Trans. Emerg. Top. Comput., 2022
2021
Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization.
IEEE Trans. Ind. Informatics, 2021
Harbor Aquaculture Area Extraction Aided with an Integration-Enhanced Gradient Descent Algorithm.
Remote. Sens., 2021
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization.
Numer. Algorithms, 2021
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems.
Inf. Sci., 2021
Noise-tolerant gradient-oriented neurodynamic model for solving the Sylvester equation.
Appl. Soft Comput., 2021
Modified Newton Integration Algorithm With Noise Tolerance for Discrete Algebraic Matrix Riccati Equation.
IEEE Access, 2021
2020
RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization.
IEEE Trans. Ind. Informatics, 2020
Two neural dynamics approaches for computing system of time-varying nonlinear equations.
Neurocomputing, 2020
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.
Neurocomputing, 2020
Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation.
Appl. Soft Comput., 2020
An Integration-Implemented Newton-Raphson Iterated Algorithm With Noise Suppression for Finding the Solution of Dynamic Sylvester Equation.
IEEE Access, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
2019
Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error.
IEEE Access, 2019
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019
2018
Monitoring of chlorophyll-a and sea surface silicate concentrations in the south part of Cheju island in the East China sea using MODIS data.
Int. J. Appl. Earth Obs. Geoinformation, 2018
2013
Blind Estimation of Blur Parameters by 2D-DFT on Polar Coordinate System Presented on Rectangular Grids.
Proceedings of the Seventh International Conference on Image and Graphics, 2013