An intelligent blockchain-based system for safe vaccine supply and supervision

B Yong, J Shen, X Liu, F Li, H Chen, Q Zhou - International Journal of …, 2020 - Elsevier
Immunization is an indispensable mechanism for preventing infectious diseases in modern
society, and vaccine safety is closely related to public health and national security. However, …

Ensemble machine learning systems for the estimation of steel quality control

F Li, J Wu, F Dong, J Lin, G Sun… - … Conference on Big …, 2018 - ieeexplore.ieee.org
Recent advances in the steel industry have encountered challenges in soliciting decision
making solutions for quality control of products based on data mining techniques. In this paper, …

Smart fog based workflow for traffic control networks

Q Wu, J Shen, B Yong, J Wu, F Li, J Wang… - Future Generation …, 2019 - Elsevier
In this paper, we propose a novel traffic control architecture which is based on fog computing
paradigm and reinforcement leaning technologies. We firstly provide an overview of this …

Metallurgical data science for steel industry: A case study on basic oxygen furnace

…, A Dunsmore, H Dong, M Li, B Tao, F Li… - Steel research …, 2022 - Wiley Online Library
The steel industry has developed sensorization to generate data, monitoring systems, and
steelmaking process control. The remaining challenges are data storage issues, lack of cross‐…

Deep-reinforcement-learning-based production scheduling in industrial internet of things

…, L Liu, X Zheng, H Ma, F Dong, F Li - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The unprecedented prosperity of the Industrial Internet of Things (IIoT) promotes the traditional
industry transforming into intelligent manufacturing so that the whole production process …

Peak and valley regulation of distribution network with electric vehicles

F Li, H Guo, Z Jing, Z Wang… - The Journal of …, 2019 - Wiley Online Library
With the increasing number of electric vehicles (EVs), how to make full use of EVs to a peak
shaving and valley filling effect on the electrical load, realise the effective interaction …

Research on integrated bidirectional control of EV charging station for V2G

F Li, F Ji, H Guo, H Li, Z Wang - 2017 2nd International …, 2017 - ieeexplore.ieee.org
With the increasing number of electric vehicles, the interaction between the electric vehicle
and the power grid is becoming more and more obvious, V2G (Vehicle to Grid) technology …

Modeling and Characterization of Transformer Winding Faults in Offshore Wind Flexible DC Transmission System

F Li, Y Zhang, J Yang, Y Sun, D Yu… - 2024 International …, 2024 - ieeexplore.ieee.org
As a key equipment in the offshore wind power flexible DC transmission and delivery system,
the stability and reliability of the transformer directly affects the stable operation of the …

Method to improve charging power quality of electric vehicles

F Li, L Guo, L Liu, X Li, Q Wang - The Journal of Engineering, 2019 - Wiley Online Library
With the increasing number of electric vehicles, the vehicle‐to‐grid (V2G) technology has
become a hotspot for the present research because it can cause peak‐load shifting; it is also a …

A research of Monte Carlo optimized neural network for electricity load forecast

B Yong, L Huang, F Li, J Shen, X Wang… - The Journal of …, 2020 - Springer
In this paper, we apply the Monte Carlo neural network (MCNN), a type of neural network
optimized by Monte Carlo algorithm, to electricity load forecast. Meanwhile, deep MCNNs with …