Citation: | ZHU Longji, WU Zhonglan, ZHENG Changlu. Research on parallel interleaved DC/DC converter applied to mine electric locomotive[J]. Journal of Mine Automation, 2019, 45(6): 63-68. DOI: 10.13272/j.issn.1671-251x.2019010089 |
[1] | WANG Yiwei, LI Xiaoyu, WENG Zhi, BAI Fengshan. Low-light image enhancement method for underground mines based on an improved Zero-DCE model[J]. Journal of Mine Automation, 2025, 51(2): 57-64, 99. DOI: 10.13272/j.issn.1671-251x.2024110072 |
[2] | WANG Taiji. A method for estimating the step size of underground personnel based on generative adversarial networks[J]. Journal of Mine Automation, 2024, 50(6): 103-111. DOI: 10.13272/j.issn.1671-251x.2024020039 |
[3] | CAO Zhengyuan, JIANG Wei, FANG Chenghui. Intelligent detection method for coal flow foreign objects based on dual attention generative adversarial network[J]. Journal of Mine Automation, 2023, 49(12): 56-62. DOI: 10.13272/j.issn.1671-251x.18094 |
[4] | LI Gang, ZHANG Yabing, YANG Qinghe, ZOU Junpeng, CAI Tian, LIU Hang, ZHAO Yiming. Super-resolution reconstruction of rock CT images based on Real-ESRGAN[J]. Journal of Mine Automation, 2023, 49(11): 84-91. DOI: 10.13272/j.issn.1671-251x.2023080093 |
[5] | ZHANG Liya. Foreign object detection method for belt conveyor based on generative adversarial nets[J]. Journal of Mine Automation, 2023, 49(11): 53-59. DOI: 10.13272/j.issn.1671-251x.2023080046 |
[6] | KONG Erwei, ZHANG Yabang, LI Jiayue, WANG Manli. An enhancement method for low light images in coal mines[J]. Journal of Mine Automation, 2023, 49(4): 62-69, 85. DOI: 10.13272/j.issn.1671-251x.2022110054 |
[7] | TANG Shoufeng, SHI Ke, TONG Guangming, SHI Jingcan, LI Huashuo. A mine low illumination image enhancement algorithm[J]. Journal of Mine Automation, 2021, 47(10): 32-36. DOI: 10.13272/j.issn.1671-251x.2021060052 |
[8] | WANG Hongdong, GUO Weidong, ZHU Meiqiang, LEI Meng. An enhancement algorithm for low-illumination image of underground coal mine[J]. Journal of Mine Automation, 2019, 45(11): 81-85. DOI: 10.13272/j.issn.1671-251x.17498 |
[9] | WANG Xing, BAI Shangwang, PAN Lihu, CHEN Lichao. A mine image enhancement algorithm[J]. Journal of Mine Automation, 2017, 43(3): 48-52. DOI: 10.13272/j.issn.1671-251x.2017.03.011 |
[10] | YANG Yong, YUE Jianhua, LI Yuliang, WANG Qingfei. A dynamic image enhancement method for mine[J]. Journal of Mine Automation, 2015, 41(11): 48-52. DOI: 10.13272/j.issn.1671-251x.2015.11.012 |
1. |
鞠慕涵,刘万科,胡捷,谷宇鹏. 改进D~*算法的未知场景机器人运动规划. 导航定位学报. 2024(03): 145-153 .
![]() | |
2. |
陈思成,纪玉杰,路达. 采样机器人路径规划研究. 内燃机与配件. 2022(22): 96-98 .
![]() | |
3. |
郝天轩,赵立桢. 跨平台矿井应急救援路径寻优方案研究. 工矿自动化. 2020(05): 108-112 .
![]() | |
4. |
熊雄. 多出口建筑疏散最优路径分层搜索算法仿真. 计算机仿真. 2020(08): 419-423 .
![]() | |
5. |
王飞,江明. 基于一种改进的蚁群算法的移动机器人三维路径规划研究. 安徽工程大学学报. 2019(03): 43-48 .
![]() | |
6. |
张苏英,赵国花,郭宝樑,于佳兴,刘慧贤. 基于改进的蚁群算法的移动机器人路径规划. 河北工业科技. 2019(06): 390-395 .
![]() | |
7. |
沈显庆,孙启智. BSO算法在移动机器人三维路径规划中的应用. 黑龙江科技大学学报. 2019(06): 747-751 .
![]() | |
8. |
龚星宇,常心坦,贾澎涛,罗碧波. 基于蚁群算法的井下救援路径优化方法. 工矿自动化. 2018(03): 76-81 .
![]() |