Fengping Hu

According to our database1, Fengping Hu authored at least 13 papers between 2009 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Image matching algorithm of defects on navel orange surface based on compressed sensing.
J. Ambient Intell. Humaniz. Comput., February, 2024

2021
Welding Defect Recognition Technology and Application Based on Convolutional Neural Network.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Data sharing scheme for 5G IoT based on blockchain.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Application of new generation communication technology in power Internet of Things.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Design of agricultural product traceability platform based on 5G-IoT and blockchain.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

2020
An improved industrial sub-pixel edge detection algorithm based on coarse and precise location.
J. Ambient Intell. Humaniz. Comput., 2020

An improved spatial-temporal correlation algorithm combined with compressed sensing and LEACH protocol in WSNs.
Int. J. Inf. Comput. Secur., 2020

2019
An improved algorithm for sentiment analysis based on maximum entropy.
Soft Comput., 2019

2017
An improved floc image segmentation algorithm based on Otsu and particle swarm optimisation.
Int. J. Comput. Sci. Eng., 2017

An improved tracking algorithm of floc based on compressed sensing and particle filter.
Ann. des Télécommunications, 2017

An Improved Spatial-Temporal Correlation Algorithm of Wsns Based on Compressed Sensing.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2015
A study on fast SIFT image mosaic algorithm based on compressed sensing and wavelet transform.
J. Ambient Intell. Humaniz. Comput., 2015

2009
Power and environment aware control of Beowulf clusters.
Clust. Comput., 2009


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