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PmcaNet: Pyramid multiscale channel attention network for electron microscopy image segmentation 期刊论文
Journal of Intelligent & Fuzzy Systems, 2024, 卷号: 46, 期号: 2, 页码: 4895-4907
作者:  Gao, Kaihan;  Ju, Yiwei;  Li, Shuai;  Yang, Xuebing;  Zhang, Wensheng;  Li, Guoqing
Adobe PDF(1371Kb)  |  收藏  |  浏览/下载：8/2  |  提交时间：2024/05/28
Electron microscopy  Image segmentation  Convolutional neural network  Multiscale feature pyramid  
Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：143/0  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
A Torque Control Strategy for a Robotic Dolphin Platform Based on Angle of Attack Feedback 期刊论文
Biomimetics, 2023, 卷号: 8, 页码: 291
作者:  Tianzhu Wang;  Junzhi Yu;  Di Chen;  Yan Meng
Adobe PDF(1925Kb)  |  收藏  |  浏览/下载：148/57  |  提交时间：2023/09/21
robotic dolphin  torque control  angle of attack  motion improvement  
Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 卷号: 7, 期号: 3, 页码: 912-930
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Pu ZQ(蒲志强);  Yi JQ(易建强)
Adobe PDF(4728Kb)  |  收藏  |  浏览/下载：294/85  |  提交时间：2023/06/02
A novel event-triggered adaptive tracking control framework for a manipulator with aperiodic neural network estimation 期刊论文
Assembly Automation, 2022, 页码: 1-16
作者:  Gao jie
Adobe PDF(2045Kb)  |  收藏  |  浏览/下载：241/82  |  提交时间：2022/06/14
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：220/66  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：248/52  |  提交时间：2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Dai, Yuxin;  Xin, Kejun;  Zheng, Xiaolong;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1159Kb)  |  收藏  |  浏览/下载：371/129  |  提交时间：2021/12/28
Knowledge fusion  Knowledge reasoning  Decision-making  Hierarchical graph attention  Reinforcement learning  
3-D Path Planning With Multiple Motions for a Gliding Robotic Dolphin 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2904-2915
作者:  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(2493Kb)  |  收藏  |  浏览/下载：415/70  |  提交时间：2021/05/31
Dolphins  Path planning  Robot kinematics  Dynamics  Task analysis  Heuristic algorithms  Astar (A*) algorithm  dynamic modeling  gliding robotic dolphin  path planning  segmented Bezier curve  
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:  Wei, Qinglai;  Wang, Lingxiao;  Liu, Yu;  Polycarpou, Marios M.
Adobe PDF(4019Kb)  |  收藏  |  浏览/下载：344/78  |  提交时间：2021/03/08
Elevators  Optimal control  Backpropagation  Machine learning  Neural networks  Learning (artificial intelligence)  Actor  –critic  adaptive dynamic programming  deep learning (DL)  elevator group control (EGC)  optimal control  reinforcement learning (RL)