Zobrazeno 1 - 10
of 2 690
pro vyhledávání: '"Xing FANG"'
Publikováno v:
Geo-spatial Information Science, Pp 1-11 (2024)
Coordinate transformation is a fundamental issue in the related studies of measurement. However, existing methodologies often need to pay more attention to the available spatial information, leading to suboptimal results. This paper addresses this is
Externí odkaz:
https://doaj.org/article/ecd6362f82b340d197e46b0eedb03ccf
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 20 (2024)
Background Cerebral microbleeds (CMBs) are common and varied in patients receiving extracorporeal membrane oxygenation (ECMO). Here, the authors describe CMB findings in patients receiving ECMO and their association with clinical factors. Methods and
Externí odkaz:
https://doaj.org/article/e6a2172f520f415799a219d832869ac3
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 4, Pp 220-224 (2024)
Objective In urban rail transit systems, train velocity measuring and positioning technology offers critical information to many applications such as train autonomous driving, collision avoidance, dispatching and directing. The architecture and funct
Externí odkaz:
https://doaj.org/article/8a35dd8088944444831c65383453c8da
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 261-272 (2024)
To improve the performance of hydrocyclones for in-situ natural gas hydrate recovery and desanding, this study analyzed the hydrocyclone’s sensitivity factors, optimized the structural parameters, and investigated the adaptability to the reservoir
Externí odkaz:
https://doaj.org/article/36fa1fb31b7d41edb57e748ed06965ab
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Natural gas hydrates (NGH) are considered a very promising source of clean energy due to their widespread distribution, high energy density, and pure combustion products. Currently, there are few studies on NGH reservoir well testing, and the models
Externí odkaz:
https://doaj.org/article/056ec268c55e49c0bfb3b3e7090a4423
Publikováno v:
Water, Vol 16, Iss 19, p 2819 (2024)
Construction sites rely on erosion control practices to protect bare slopes and prevent soil loss. The effectiveness of certain erosion controls is often under-evaluated if they are not a part of a product evaluation program. Furthermore, erosion con
Externí odkaz:
https://doaj.org/article/ad0b31d801c2460fb4dccfc8b0b68dd0
Publikováno v:
Symmetry, Vol 16, Iss 9, p 1118 (2024)
To achieve precise control of the symmetrical unmanned surface vehicle (USV) under strong external disturbances, we propose a disturbance estimation and conditional disturbance compensation control (CDCC) scheme. First, the differential flatness meth
Externí odkaz:
https://doaj.org/article/88fef7716a0e416c91ab03ec362fe13c
Publikováno v:
Sensors, Vol 24, Iss 14, p 4761 (2024)
Visual object tracking is an important technology in camera-based sensor networks, which has a wide range of practicability in auto-drive systems. A transformer is a deep learning model that adopts the mechanism of self-attention, and it differential
Externí odkaz:
https://doaj.org/article/d68d7134dd13457c909cfc03b058e119
Autor:
Xiaolong Xiao, Jiahao Guo, Jinggang Yang, Xing Fang, Mingming Shi, Yang Liu, Maosen Guo, Zhencheng Yang, Zaijun Wu
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Due to the problems such as fuzzy state assessment grading boundaries, the recognition accuracy is low when using traditional fuzzy techniques to grade the switchgear state. To address this problem, this paper proposes a switchgear state assessment a
Externí odkaz:
https://doaj.org/article/189ae61d99694c618579dce97a1e92a0
Publikováno v:
Acta Poloniae Pharmaceutica, Vol 80, Iss 1, Pp 143-152 (2023)
Mixed micelles (MMs), as a new targeted drug delivery system with high adjustability, have been widely studied in biomedicines. In order to study whether mixtures containing two different molecules have excellent targeted anti-tumor effect, MMs based
Externí odkaz:
https://doaj.org/article/066200a76b11420ab82ebeb59350d1a4