Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm

H Yu, J Song, C Chen, AA Heidari, J Liu, H Chen… - … Applications of Artificial …, 2022 - Elsevier
Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Human‐centered attention‐aware networks for action recognition

S Liu, Y Li, W Fu - International Journal of Intelligent Systems, 2022 - Wiley Online Library
Action recognition in video is a research hot spot in the field of computer vision. Learning
important clues in video context has significant effect to promote the interaction prediction …

Energy trading scheme based on consortium blockchain and game theory

Y Chen, Y Li, Q Chen, X Wang, T Li, C Tan - Computer Standards & …, 2023 - Elsevier
With the gradual opening of the electricity sales market, distributed energy trading is
becoming an important research topic. However, it is not easy to design practical energy …

Collective reinforcement learning based resource allocation for digital twin service in 6G networks

Z Huang, D Li, J Cai, H Lu - Journal of Network and Computer Applications, 2023 - Elsevier
Abstract The 6th generation (6G) mobile communications technology will realize the
interconnection of humans, machines, things as well as virtual space. The development of …

[HTML][HTML] Sports match prediction model for training and exercise using attention-based LSTM network

Q Zhang, X Zhang, H Hu, C Li, Y Lin, R Ma - Digital Communications and …, 2022 - Elsevier
Sports matches are very popular all over the world. The prediction of a sports match is
helpful to grasp the team's state in time and adjust the strategy in the process of the match …

Federated learning‐based trajectory prediction model with privacy preserving for intelligent vehicle

M Han, K Xu, S Ma, A Li, H Jiang - International Journal of …, 2022 - Wiley Online Library
The existing trajectory prediction is mainly for specific road sections, which is poor to adapt
to complex and changing traffic scenarios. Meanwhile, decentralized trajectory data is hard …

SARM: service function chain active reconfiguration mechanism based on load and demand prediction

J Cai, K Qian, J Luo, K Zhu - International Journal of Intelligent …, 2022 - Wiley Online Library
Network function virtualization is a promising technology for providing personalized services
via agile service function chains (SFCs). Flexible SFC orchestration and rational resource …

A comprehensive study of Mozi botnet

TF Tu, JW Qin, H Zhang, M Chen, T Xu… - International Journal of …, 2022 - Wiley Online Library
With the trend of digital transformation of enterprises, the use of Internet of Things (IoT)
devices is increasing. IoT devices that are not protected by security measures have …

[HTML][HTML] Reinforcement learning-based delay-aware path exploration of parallelized service function chains

Z Huang, D Li, C Wu, H Lu - Mathematics, 2022 - mdpi.com
The parallel processing of the service function chain (SFC) is expected to provide better low-
delay service delivery, because it breaks through the bottleneck of traditional serial …

Achieving optimal rewards in cryptocurrency stubborn mining with state transition analysis

Y Zhang, M Zhao, T Li, Y Wang, T Liang - Information Sciences, 2023 - Elsevier
Bitcoin uses a decentralized network of miners and a distributed consensus algorithm to
agree on blockchains to process transactions, and designs certain incentive strategy to …