Search Results - "Frontiers of information technology & electronic engineering"

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    Applications of artificial intelligence in intelligent manufacturing: a review by Li, Bo-hu, Hou, Bao-cun, Yu, Wen-tao, Lu, Xiao-bing, Yang, Chun-wei

    “…Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid…”
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    Hybrid-augmented intelligence: collaboration and cognition by Zheng, Nan-ning, Liu, Zi-yi, Ren, Peng-ju, Ma, Yong-qiang, Chen, Shi-tao, Yu, Si-yu, Xue, Jian-ru, Chen, Ba-dong, Wang, Fei-yue

    “…The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and…”
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    Challenges and opportunities: from big data to knowledge in AI 2.0 by Zhuang, Yue-ting, Wu, Fei, Chen, Chun, Pan, Yun-he

    “…In this paper, we review recent emerging theoretical and technological advances of artificial intelligence (AI) in the big data settings. We conclude that…”
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    Data-driven soft sensors in blast furnace ironmaking: a survey by Luo, Yueyang, Zhang, Xinmin, Kano, Manabu, Deng, Long, Yang, Chunjie, Song, Zhihuan

    “…The blast furnace is a highly energy-intensive, highly polluting, and extremely complex reactor in the ironmaking process. Soft sensors are a key technology…”
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    Crowd intelligence in AI 2.0 era by Li, Wei, Wu, Wen-jun, Wang, Huai-min, Cheng, Xue-qi, Chen, Hua-jun, Zhou, Zhi-hua, Ding, Rong

    “…The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence(AI), bringing a new…”
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    Parallel cognition: hybrid intelligence for human-machine interaction and management by Ye, Peijun, Wang, Xiao, Zheng, Wenbo, Wei, Qinglai, Wang, Fei-Yue

    “…As an interdisciplinary research approach, traditional cognitive science adopts mainly the experiment, induction, modeling, and validation paradigm. Such…”
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    Cross-media analysis and reasoning: advances and directions by Peng, Yu-xin, Zhu, Wen-wu, Zhao, Yao, Xu, Chang-sheng, Huang, Qing-ming, Lu, Han-qing, Zheng, Qing-hua, Huang, Tie-jun, Gao, Wen

    “…Cross-media analysis and reasoning is an active research area in computer science, and a promising direction for artificial intelligence. However, to the best…”
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    Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond by Li, Tian-cheng, Su, Jin-ya, Liu, Wei, Corchado, Juan M.

    “…Since the landmark work of R. E. Kalman in the 1960s, considerable efforts have been devoted to time series state space models for a large variety of dynamic…”
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    Current trends in the development of intelligent unmanned autonomous systems by Zhang, Tao, Li, Qing, Zhang, Chang-shui, Liang, Hua-wei, Li, Ping, Wang, Tian-miao, Li, Shuo, Zhu, Yun-long, Wu, Cheng

    “…Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligence (AI). The development of such systems can…”
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    Moving target defense: state of the art and characteristics by Cai, Gui-lin, Wang, Bao-sheng, Hu, Wei, Wang, Tian-zuo

    “…Moving target defense (MTD) has emerged as one of the game-changing themes to alter the asymmetric situation between attacks and defenses in cyber-security…”
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    A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot by Tian, Manjun, Li, Xiali, Kong, Shihan, Wu, Licheng, Yu, Junzhi

    “…To tackle the problem of aquatic environment pollution, a vision-based autonomous underwater garbage cleaning robot has been developed in our laboratory. We…”
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    SEVAR: a stereo event camera dataset for virtual and augmented reality by Dong, Yuda, Chen, Zetao, He, Xin, Li, Lijun, Shu, Zichao, Cao, Yinong, Feng, Junchi, Liu, Shijie, Li, Chunlai, Wang, Jianyu

    “…Conclusions In this paper, we present a precisely synchronized event-based dataset, designed especially for multi-sensor fusion in SLAM applications, with a…”
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    Federated learning on non-IID and long-tailed data via dual-decoupling by Wang, Zhaohui, Li, Hongjiao, Li, Jinguo, Hu, Renhao, Wang, Baojin

    “…Federated learning (FL), a cutting-edge distributed machine learning training paradigm, aims to generate a global model by collaborating on the training of…”
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    Communication efficiency optimization of federated learning for computing and network convergence of 6G networks by Cai, Yizhuo, Lei, Bo, Zhao, Qianying, Peng, Jing, Wei, Min, Zhang, Yushun, Zhang, Xing

    “…Federated learning effectively addresses issues such as data privacy by collaborating across participating devices to train global models. However, factors…”
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    Simultaneously transmitting and reflecting (STAR) RISs for 6G: fundamentals, recent advances, and future directions by Liu, Yuanwei, Xu, Jiaqi, Wang, Zhaolin, Mu, Xidong, Zhang, Jianhua, Zhang, Ping

    “…Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) have been attracting significant attention in both academia and…”
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