Abdujelil Abdurahman

Orcid: 0000-0003-2248-4678

Affiliations:
  • Xinjiang University, Ürümqi, China


According to our database1, Abdujelil Abdurahman authored at least 27 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Nonseparation Approach to General-Decay Synchronization of Quaternion-Valued Neural Networks with Mixed Time Delays.
Axioms, September, 2024

2023
Adaptive pinning cluster synchronization of a stochastic reaction-diffusion complex network.
Neural Networks, September, 2023

Fixed/predefined-time lag synchronization of complex-valued BAM neural networks with stochastic perturbations.
Appl. Math. Comput., May, 2023

A Multifaceted Approach to Oral Assessment Based on the Conformer Architecture.
IEEE Access, 2023

2021
H∞ output synchronization of directed coupled reaction-diffusion neural networks via event-triggered quantized control.
J. Frankl. Inst., 2021

2020
Fixed-Time Lag Synchronization Analysis for Delayed Memristor-Based Neural Networks.
Neural Process. Lett., 2020

Spacial sampled-data control for H∞ output synchronization of directed coupled reaction-diffusion neural networks with mixed delays.
Neural Networks, 2020

Improved Control Schemes for Projective Synchronization of Delayed Neural Networks with Unmatched Coefficients.
Int. J. Pattern Recognit. Artif. Intell., 2020

2019
General Decay Lag Synchronization for Competitive Neural Networks with Constant Delays.
Neural Process. Lett., 2019

Nonlinear control scheme for general decay projective synchronization of delayed memristor-based BAM neural networks.
Neurocomputing, 2019

2018
Synchronization of hybrid coupled reaction-diffusion neural networks with time delays via generalized intermittent control with spacial sampled-data.
Neural Networks, 2018

Pinning impulsive stabilization for BAM reaction-diffusion neural networks with mixed delays.
J. Frankl. Inst., 2018

Global asymptotic and robust stability of inertial neural networks with proportional delays.
Neurocomputing, 2018

New results on the general decay synchronization of delayed neural networks with general activation functions.
Neurocomputing, 2018

General decay synchronization of delayed BAM neural networks via nonlinear feedback control.
Appl. Math. Comput., 2018

2017
Finite-Time Synchronization of Complex Dynamical Networks with Time-Varying Delays and Nonidentical Nodes.
J. Control. Sci. Eng., 2017

General decay synchronization of memristor-based Cohen-Grossberg neural networks with mixed time-delays and discontinuous activations.
J. Frankl. Inst., 2017

Lag synchronization for Cohen-Grossberg neural networks with mixed time-delays via periodically intermittent control.
Int. J. Comput. Math., 2017

Adaptive Control Strategy for Projective Synchronization of Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
New results on exponential synchronization of memristor-based neural networks with discontinuous neuron activations.
Neural Networks, 2016

Exponential lag synchronization for memristor-based neural networks with mixed time delays via hybrid switching control.
J. Frankl. Inst., 2016

Global generalized exponential stability for a class of nonautonomous cellular neural networks via generalized Halanay inequalities.
Neurocomputing, 2016

Finite-time synchronization for fuzzy cellular neural networks with time-varying delays.
Fuzzy Sets Syst., 2016

2015
Finite-time synchronization for memristor-based neural networks with time-varying delays.
Neural Networks, 2015

The existence and stability of the anti-periodic solution for delayed Cohen-Grossberg neural networks with impulsive effects.
Neurocomputing, 2015

Exponential Lag Synchronization for Delayed Cohen-Grossberg Neural Networks with Discontinuous Activations.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

2013
Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013


  Loading...