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Blockchain-enabled device command operation security for Industrial Internet of Things 期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2023, 卷号: 148, 页码: 280-297
作者:  Fu, Luxia;  Zhang, Zhuang;  Tan, Liang;  Yao, Zhengyi;  Tan, Hongxin;  Xie, Jingxue;  She, Kun
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Access control  Device commands  Blockchain  Commands assert quota  
Chip design with machine learning: a survey from algorithm perspective 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2023, 卷号: 66, 期号: 11, 页码: 31
作者:  He, Wenkai;  Li, Xiaqing;  Song, Xinkai;  Hao, Yifan;  Zhang, Rui;  Du, Zidong;  Chen, Yunji
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
chip design  machine learning  chip design automation  design result estimation  design optimization and correction  design construction  
Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2023, 卷号: 28, 期号: 4, 页码: 23
作者:  Chu, Cheng;  Liu, Cheng;  Xu, Dawen;  Wang, Ying;  Luo, Tao;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Deformable convolution network  neural network accelerator  irregular memory access  runtime tile scheduling  
Improving Seed-Based FPGA Packing with Indirect Connection for Realization of Neural Networks 期刊论文
ELECTRONICS, 2023, 卷号: 12, 期号: 12, 页码: 13
作者:  Yu, Le;  Guo, Baojin;  Zhi, Tian;  Bai, Lida
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
FPGA  EDA  packing  seed-based  indirect connections  
Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)  
A synergistic reinforcement learning-based framework design in driving automation 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 101, 页码: 15
作者:  Qi, Yuqiong;  Hu, Yang;  Wu, Haibin;  Li, Shen;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07
Autonomous Driving  Heterogeneous Multicore AI Accelerator  Criteria  Reinforcement Learning  Scheduling  
LIAS: A Lightweight Incentive Authentication Scheme for Forensic Services in IoV 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 16
作者:  Zhang, Mingyue;  Zhou, Junlong;  Cong, Peijin;  Zhang, Gongxuan;  Zhuo, Cheng;  Hu, Shiyan
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Forensics  Authentication  Security  Privacy  Computer architecture  Cameras  Message authentication  Anonymous authentication  forensic service  lightweight  incentive  Internet of Vehicles  security  
Ultrathin Eardrum-Inspired Self-Powered Acoustic Sensor for Vocal Synchronization Recognition with the Assistance of Machine Learning 期刊论文
SMALL, 2022, 卷号: 18, 期号: 13, 页码: 9
作者:  Jiang, Yang;  Zhang, Yufei;  Ning, Chuan;  Ji, Qingqing;  Peng, Xiao;  Dong, Kai;  Wang, Zhong Lin
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
acoustic sensors  machine learning  self-powered sensors  triboelectric nanogenerators  voice recognition  
On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 9
作者:  Xiong, Wenjun;  Liu, Chen;  Wen, Guanghui;  Qiu, Jianlong;  Xu, Yongjun
收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07
Nonhomogeneous media  Convergence  Supply chains  Uncertainty  Stability criteria  Numerical stability  Safety  Constraints  fast convergence speed  learning control scheme  multilayer supply chain networks (SCNs)  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：30/0  |  提交时间：2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method