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Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 4-28
作者:  Mengting Liu;  Ying Zhou;  Yuwei Wu;  Feng Gao
Adobe PDF(14438Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Artificial intelligence (AI) art, audio-visual, artificial intelligence generated content (AIGC), multimodal, artistic evaluation  
Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1407-1420
作者:  Dan Zhang;  Qiusheng Lian;  Yueming Su;  Tengfei Ren
Adobe PDF(35567Kb)  |  收藏  |  浏览/下载：66/19  |  提交时间：2023/05/29
Dual prior  image reconstruction  multi-agent consensus equilibrium (MACE)  quanta image sensors (QIS)  
Automatic Lane-Level Intersection Map Generation using Low-Channel Roadside LiDAR 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1209-1222
作者:  Hui Liu;  Ciyun Lin;  Bowen Gong;  Dayong Wu
Adobe PDF(16514Kb)  |  收藏  |  浏览/下载：121/32  |  提交时间：2023/04/26
High-definition map  lane-level intersection map  roadside LiDAR  sliding window  traffic object trajectory  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：188/108  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 121-144
作者:  Guo-Yin Wang;  Dong-Dong Cheng;  De-You Xia;  Hai-Huan Jiang
Adobe PDF(2487Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/23
Swarm intelligence  single-population  multi-population  human-machine hybrid  multi-granularity  
A Lane-Level Road Marking Map Using a Monocular Camera 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 187-204
作者:  Wonje Jang;  Junhyuk Hyun;  Jhonghyun An;  Minho Cho;  Euntai Kim
Adobe PDF(30873Kb)  |  收藏  |  浏览/下载：221/41  |  提交时间：2021/11/03
Autonomous driving  lane-level map  road lane  road marking map  symbolic road marking  weighted loss  
Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets, and Future Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 407-436
作者:  Mohamed Amine Ferrag;  Lei Shu;  Othmane Friha;  Xing Yang
Adobe PDF(23596Kb)  |  收藏  |  浏览/下载：156/13  |  提交时间：2022/03/09
Agriculture 4.0  cyber security  intrusion detection system  machine learning approaches  smart agriculture  
Facial-sketch Synthesis: A New Challenge 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 257-287
作者:  Deng-Ping Fan;  Ziling Huang;  Peng Zheng;  Hong Liu;  Xuebin Qin;  Luc Van Gool
Adobe PDF(12340Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Facial sketch synthesis (FSS)  facial sketch dataset  benchmark  attribute  style transfer  
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 718-752
作者:  Othmane Friha;  Mohamed Amine Ferrag;  Lei Shu;  Leandros Maglaras;  Xiaochan Wang
Adobe PDF(46102Kb)  |  收藏  |  浏览/下载：185/28  |  提交时间：2021/04/09
Agricultural internet of things (IoT)  internet of things (IoT)  smart agriculture  smart farming  sustainable agriculture