Daming Li

Affiliations:
  • Zhuhai Da Hengqin Science and Technology Development Co, Post-Doctoral Research Center, China
  • City University of Macau, Institute of Data Science, China


According to our database1, Daming Li authored at least 13 papers between 2019 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Impact of in-plane follower force on the frequency response of the hybrid angle-ply laminated system via dynamic simulation and generalized differential quadrature framework.
Eng. Comput., 2022

Blockchain as a service models in the Internet of Things management: Systematic review.
Trans. Emerg. Telecommun. Technol., 2022

2021
A new sign detection design for the residue number system based on quantum-dot cellular automata.
Photonic Netw. Commun., 2021

Energy-Efficient Speed Profile Optimization for High-Speed Railway Considering Neutral Sections.
IEEE Access, 2021

2020
Statistical analysis of tourist flow in tourist spots based on big data platform and DA-HKRVM algorithms.
Pers. Ubiquitous Comput., 2020

Risk evaluation of urban rainwater system waterlogging based on neural network and dynamic hydraulic model.
J. Intell. Fuzzy Syst., 2020

Emergency management system of urban waterlogging based on cloud computing platform and 3D visualization.
J. Intell. Fuzzy Syst., 2020

Evaluation method of sponge city potential based on neural network and fuzzy mathematical evaluation.
J. Intell. Fuzzy Syst., 2020

Load balancing mechanism in the cloud environment using preference alignments and an optimisation algorithm.
IET Commun., 2020

Improving communication precision of IoT through behavior-based learning in smart city environment.
Future Gener. Comput. Syst., 2020

Signal frequency domain analysis and sensor fault diagnosis based on artificial intelligence.
Comput. Commun., 2020

2019
A novel CNN based security guaranteed image watermarking generation scenario for smart city applications.
Inf. Sci., 2019

IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning.
Int. J. Inf. Manag., 2019


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