Cheng Qian

Orcid: 0000-0003-1681-8512

Affiliations:
  • Towson University, Department of Computer and Information Sciences, Towson, MD, USA
  • Hood College, Department of Computer Science and Information Technology, Frederick, MD, USA


According to our database1, Cheng Qian authored at least 24 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Smart Irrigation Systems from Cyber-Physical Perspective: State of Art and Future Directions.
Future Internet, July, 2024

Deep learning-based power quality disturbance detection and classification in smart grid.
Int. J. Sens. Networks, 2024

Assessing deep learning performance in power demand forecasting for smart grid.
Int. J. Sens. Networks, 2024

Digital Twin based Internet of Vehicles.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

A Real-Time Hand Gesture Recognition System on Raspberry Pi: A Deep Learning-Based Approach.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

Deep Reinforcement Learning for Channel State Information Prediction in Internet of Vehicles.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., December, 2023

Open Radio Access Networks for Smart IoT Systems: State of Art and Future Directions.
Future Internet, 2023

Named Data Networking (NDN) for Data Collection of Digital Twins-based IoT Systems.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Digital Twins of Smart Campus: Performance Evaluation Using Machine Learning Analysis.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Attack Evaluations of Deep Learning Empowered WiFi Sensing in IoT Systems.
Proceedings of the IEEE INFOCOM 2023, 2023

Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Toward Generative Adversarial Networks for the Industrial Internet of Things.
IEEE Internet Things J., 2022

Secure IoT Search Engine: Survey, Challenges Issues, Case Study, and Future Research Direction.
IEEE Internet Things J., 2022

Digital Twin - Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions.
Future Internet, 2022

Performance Assessment of Deep Neural Network on Activity Recognition in WiFi Sensing.
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

A Taxonomy of Security and Defense Mechanisms in Digital Twins-based Cyber-Physical Systems.
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Integrated Simulation Platform for Internet of Vehicles.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Towards Efficient and Intelligent Internet of Things Search Engine.
IEEE Access, 2021

Towards Online Continuous Reinforcement Learning on Industrial Internet of Things.
Proceedings of the 2021 IEEE SmartWorld, 2021

Towards Scalability of the IoT Search Engine.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
Search Engine for Heterogeneous Internet of Things Systems and Optimization.
Proceedings of the IEEE Intl Conf on Dependable, 2020

2019
Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities.
IEEE Access, 2019

Search Engine for the Internet of Things: Lessons From Web Search, Vision, and Opportunities.
IEEE Access, 2019


  Loading...