Titlebook: Exploration of Novel Intelligent Optimization Algorithms; 12th International S Kangshun Li,Yong Liu,Wenxiang Wang Conference proceedings 20

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法律的瑕疵

maverick

entitle

鸽子

Mingle

A Many-Objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differeion and authentication mechanism, the vehicle network is vulnerable to malicious attacks and intrusion, which poses a threat to the driver’s life safety and data privacy. To solve this problem, this paper proposes a method combining federal learning and differential privacy protection to protect the

Mingle

Intersect

图表证明

critique

The Combination of GRU and Dense Block for Image Denoising Network) and Dense block. The GRU contacts the previous state through the current state, which can more effectively extract noise features from the picture. The Dense block can effectively improve the feature propagation efficiency, reduce the problem of vanishing gradient, and optimize the process of feat