no code implementations • 9 Jan 2024 • Shengli Zhang, Zhiyong Tao, Sen Lin
However, the haze distribution in the real world is complex, and downsampling can lead to color distortion or loss of detail in the output results as the resolution of a feature map or image resolution decreases.
no code implementations • 9 Jan 2024 • Shengli Zhang, Zhiyong Tao, Sen Lin
Compared to existing state-of-the-art methods, DedustNet achieves superior performance and more reliable results in agricultural image dedusting, providing strong support for the application of agricultural machinery in dusty environments.
no code implementations • 16 Nov 2022 • Jiaqi Cao, Shengli Zhang, Qingxia Chen, Houtian Wang, Mingzhe Wang, Naijin Liu
To address the network-wide offloading problem, we propose a metagraph-based computation and transmission fusion offloading scheme for multi-tier networks.
no code implementations • 16 Nov 2022 • Jiaqi Cao, Shengli Zhang, Mingzhe Wang, Qingxia Chen, Houtian Wang, Naijin Liu
However, the overall delay is determined by both computation and transmission costs.
no code implementations • 1 Jan 2022 • Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, DaCheng Tao
Existing approaches typically rely on outside tools to infer visible body parts, which may be suboptimal in terms of both computational efficiency and ReID accuracy.
no code implementations • 1 May 2021 • Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang
In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.
no code implementations • 18 Jan 2021 • Sissi Xiaoxiao Wu, Gangqiang Li, Shengli Zhang, Xiaohui Lin
Simulation results demonstrate that the proposed AI-based methods are beneficial to improve performance of detecting and localizing malicious agents over score-based methods, and the peer-to-peer neural network model is indeed robust to target issues.
2 code implementations • 9 Oct 2020 • Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, DaCheng Tao
To alleviate these problems, this paper proposes the targeted attention attack (TAA) method for real world road sign attack.
no code implementations • 29 Nov 2019 • Taotao Wang, Soung Chang Liew, Shengli Zhang
Experimental results indicate that, without knowing the parameter values of the mining MDP model, our multi-dimensional RL mining algorithm can still achieve the optimal performance over time-varying blockchain networks.
Cryptography and Security
no code implementations • 24 Oct 2017 • Pei Cao, Shengli Zhang, Jiong Tang
On the other hand, while the deep neural networks based approaches feature adaptive feature extractions and inherent classifications, they usually require a substantial set of training data and thus hinder their usage for engineering applications with limited training data such as gearbox fault diagnosis.
no code implementations • 25 Aug 2017 • Wei Wang, Xiang-Gen Xia, Shengli Zhang, Chuanjiang He
In this paper, we propose a vector total variation (VTV) of feature image model for image restoration.