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Akademický článek

Adversarial Attacks to Manipulate Target Localization of Object Detector

Autor: Kai Xu, Xiao Cheng, Ji Qiao, Jia-Teng Li, Kai-Xuan Ji, Jia-Yong Zhong, Peng Tian, Jian-Xun Mi

Publikováno v: IEEE Access, Vol 12, Pp 179418-179430 (2024)

Adversarial attack has gradually become an important branch in the field of artificial intelligence security, where the potential threat brought by adversarial example attack is more not to be ignored. This paper proposes a new attack mode for the ta

Externí odkaz: https://doaj.org/article/4a6ac6faacc349538a74977a0ef87de8

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Akademický článek

Multi-task transient stability assessment of power system based on graph neural network with interpretable attribution analysis

Autor: Sili Gu, Ji Qiao, Wenlong Shi, Fan Yang, Xiang Zhou, Zixuan Zhao

Publikováno v: Energy Reports, Vol 9, Iss , Pp 930-942 (2023)

Transient power angle stability analysis and voltage stability analysis are the key basis of power system security and stability control. The diversified operation modes of power system put forward higher requirements for real-time and topology gener

Externí odkaz: https://doaj.org/article/c38226f25eca413a9f247507377d88ef

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Akademický článek

Evaluation of dietary Perilla frutescens seed on performance and carcass quality in finishing castrated male Songliao black pigs

Autor: Ji Qiao Xia, XinMiao He, Lan Wang, Liang Wang, Dong Ji Zhang, Ji Feng Wang, Di Liu

Publikováno v: Veterinary Medicine and Science, Vol 8, Iss 2, Pp 598-606 (2022)

Abstract Objectives This study was conducted to investigate the effects of dietary supplementation of Perilla frutescens seed (PFS) on growth performance, blood profiles, meat quality and meat nutrient characteristics in finishing castrated male Song

Externí odkaz: https://doaj.org/article/6f303b04cf364f039b8f9887bcec9602

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Akademický článek

Power flow adjustment for smart microgrid based on edge computing and multi-agent deep reinforcement learning

Autor: Tianjiao Pu, Xinying Wang, Yifan Cao, Zhicheng Liu, Chao Qiu, Ji Qiao, Shuhua Zhang

Publikováno v: Journal of Cloud Computing: Advances, Systems and Applications, Vol 10, Iss 1, Pp 1-13 (2021)

Abstract In current power grids, a massive amount of power equipment raises various emerging requirements, e.g., data perception, information transmission, and real-time control. The existing cloud computing paradigm is stubborn to address issues and

Externí odkaz: https://doaj.org/article/b39fdd95463846c2b610eeb6d2973f3a

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