Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Chuanlei Zhang,Jiayang Guo Conference proc

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https://doi.org/10.1007/978-3-642-24157-4heavy hazy can greatly degrade the performance of object detection. To mitigate this problem, we propose a novel Detection-focused Dehazing Network (DDNet). This architecture utilizes low-level image restoration to assist in high-level visual tasks, enabling end-to-end training and inference. Specif

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Mehrphasen-Netzwerke, Drehstromtechnik,d on quantum walks to address issues such as number limitations in quantum voting. The proposed scheme utilizes single-qubit particles to blind the voting information, and then uses quantum walks techniques to transmit the information. This scheme utilizes quantum encryption technology, ensuring its

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https://doi.org/10.1007/978-981-97-5609-4Information Security; Machine Learning; Knowledge Discovery and Data Mining; Intelligent Computing in C