Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Yonglin Tian"'
Publikováno v:
Guangxi Zhiwu, Vol 43, Iss 12, Pp 2352-2361 (2023)
In order to study the effect of different application modes of phosphorus-solubilizing bacterial fertilizer (PSB fertilizer) on seedling phosphorus nutrition of Pinus massoniana, a pot inoculation experiment with local and evenly application of PSB f
Externí odkaz:
https://doaj.org/article/0c0ab85e854e45d989b9360d6c8c69e6
Autor:
Rui QIN, Xiaolong LIANG, Juanjuan LI, Wenwen DING, Jiachen HOU, Yutong WANG, Yonglin TIAN, Ding WEN
Publikováno v:
智能科学与技术学报, Vol 5, Pp 212-221 (2023)
Aiming to address the dual complexities that current scientific research institutes face in both management work and research tasks, parallel scientific research institutes were proposed.Parallel scientific research institutes were constructed based
Externí odkaz:
https://doaj.org/article/8f29c1d022394f8fa9b21528a73857c9
Publikováno v:
智能科学与技术学报, Vol 5, Pp 180-199 (2023)
Although deep learning methods have achieved better results than traditional trajectory prediction algorithms, there are still problems such as information loss, interaction and uncertainty difficulties in modelling, and lack of interpretability of p
Externí odkaz:
https://doaj.org/article/20234a95bb3244859251799d64bb6692
Autor:
Xiao Wang, Jun Huang, Yonglin Tian, Chen Sun, Lie Yang, Shanhe Lou, Chen Lv, Changyin Sun, Fei-Yue Wang
Publikováno v:
Research, Vol 7 (2024)
Recent years have witnessed numerous technical breakthroughs in connected and autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly advanced the development of intelligent transportation systems (ITSs); on the other hand
Externí odkaz:
https://doaj.org/article/f6909d08def74e22acaf6ad12ee08750
Autor:
Yonglin TIAN, Yuanwen CHEN, Jing YANG, Yutong WANG, Xiao WANG, Qinghai MIAO, Ziran WANG, Fei-Yue WANG
Publikováno v:
智能科学与技术学报, Vol 5, Pp 121-132 (2023)
With the development of technologies such as artificial intelligence and virtual reality, digital technology is continuously changing and enriching human experiences and production methods, and has become a powerful tool for controlling and managing
Externí odkaz:
https://doaj.org/article/acf87e2dc2484c55a44ff975b7b8075d
Publikováno v:
智能科学与技术学报, Vol 3, Pp 387-398 (2021)
With the large-scale integration of new energy devices, the fragility, openness and uncertainty of the bulk power grid system have increased significantly, and the system management and control are facing significant challenges.Constructing a paralle
Externí odkaz:
https://doaj.org/article/228326a444264fa08e82862bcfbf243d
Autor:
Fei-Yue WANG, Yanfen WANG, Yizhu CHEN, Yonglin TIAN, Hongwei QI, Xiao WANG, Weishan ZHANG, Jun ZHANG, Yong YUAN
Publikováno v:
智能科学与技术学报, Vol 2, Pp 305-313 (2020)
In view of the widespread isolated data island in the era of big data, the basic framework of federated ecology was proposed, and its construction and operation mechanism were discussed.Federated ecology was based on the premise of controllable data
Externí odkaz:
https://doaj.org/article/89a1ea6e88f640149c0c7f932c15a218
Autor:
Yuhang Liu, Yu Shen, Lili Fan, Yonglin Tian, Yunfeng Ai, Bin Tian, Zhongmin Liu, Fei-Yue Wang
Publikováno v:
Sensors, Vol 22, Iss 24, p 9930 (2022)
Radar is widely employed in many applications, especially in autonomous driving. At present, radars are only designed as simple data collectors, and they are unable to meet new requirements for real-time and intelligent information processing as envi
Externí odkaz:
https://doaj.org/article/106eb43388734cbf8d9af4d8d5e43182
A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation
Publikováno v:
Sensors, Vol 22, Iss 23, p 9483 (2022)
Computer vision tasks, such as motion estimation, depth estimation, object detection, etc., are better suited to light field images with more structural information than traditional 2D monocular images. However, since costly data acquisition instrume
Externí odkaz:
https://doaj.org/article/e0cbabb8b5574688abacb8a7e38e0f2d
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2868 (2021)
Three-dimensional information perception from point clouds is of vital importance for improving the ability of machines to understand the world, especially for autonomous driving and unmanned aerial vehicles. Data annotation for point clouds is one o
Externí odkaz:
https://doaj.org/article/c5e703ee7fc4471c845ab7b092bf2c0d