Guangyu Jia

Orcid: 0000-0001-7539-4348

According to our database1, Guangyu Jia authored at least 16 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Path Planning and Trajectory Tracking Control of Quadrotor Dragging System in Marine Environment.
IEEE Access, 2024

2023
Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation.
Comput. Biol. Medicine, 2023

A Framework of Robust Congestion Mitigation with Traffic Estimation, Split Ratio Optimisation and Path Planning.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types.
Pattern Recognit., 2022

2021
Further Results for Pinning Stabilization of Boolean Networks.
IEEE Trans. Control. Netw. Syst., 2021

MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images.
Neurocomputing, 2021

A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques.
Neurocomputing, 2021

Personalized Course Recommendation System Fusing with Knowledge Graph and Collaborative Filtering.
Comput. Intell. Neurosci., 2021

Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method.
Comput. Biol. Medicine, 2021

A Joint Communication and Federated Learning Framework for Internet of Things Networks.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Depth Estimation of Hard Inclusions in Soft Tissue by Autonomous Robotic Palpation Using Deep Recurrent Neural Network.
IEEE Trans Autom. Sci. Eng., 2020

Classification of electromyographic hand gesture signals using machine learning techniques.
Neurocomputing, 2020

Channel Assignment in Uplink Wireless Communication Using Machine Learning Approach.
IEEE Commun. Lett., 2020

Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Machine Learning for Predictive Deployment of UAVs with Rate Splitting Multiple Access.
Proceedings of the IEEE Globecom Workshops, 2020

2016
Function perturbation of mix-valued logical networks with impacts on limit sets.
Neurocomputing, 2016


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