Zobrazeno 1 - 10
of 1 395
pro vyhledávání: '"Liang Gang"'
Publikováno v:
IEEE Access, Vol 12, Pp 24554-24568 (2024)
Leveraging the excellent feature representation capabilities of neural networks, deep learning methods have been widely adopted for object detection in synthetic aperture radar (SAR) images. However, persistent challenges are encountered in SAR ship
Externí odkaz:
https://doaj.org/article/217d0b81f62d4c9485aca8b7686914f9
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 4, Pp 591-592 (2024)
C16H14ZnN4O5, orthorhombic, Pbcn (no. 60), a = 19.0280(5) Å, b = 9.0707(2) Å, c = 20.0081(6) Å, V = 3453.34(16) Å3, Z = 8, Rgt (F) = 0.0396, wRref (F 2) = 0.0953, T = 230(2) K.
Externí odkaz:
https://doaj.org/article/b628bda7c79449ac87c2968f9a9e3aa7
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper focuses on the high-quality detection of hidden safety hazards in transmission and OPGW lines, and adopts neural network technology as the research basis. A Faster-R-CNN network structure model is constructed to realize end-to-end target d
Externí odkaz:
https://doaj.org/article/55bcaba88ebb452eacf264ea5ba9e43c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The current fiber optic communication network presents the characteristics of network scale, complexity, and efficiency, and the use of traditional means for the maintenance of power fiber optic cable has been greatly limited. In this paper, based on
Externí odkaz:
https://doaj.org/article/c1ce69dd657b4f5f8712325a2944501b
Autor:
Tang Zongrun, Liu Yingyi, Cui Limin, Liang Gang, Lu Yang, Zhang Wenjing, Song Haoyu, Hu Zhenghao
Publikováno v:
E3S Web of Conferences, Vol 522, p 01032 (2024)
An overview of the developmental history, characteristics, and applications of infrared sensors are firstly provided in the paper. Subsequently, it delves into the sensing mechanisms of commonly employed infrared sensors in substations, namely the th
Externí odkaz:
https://doaj.org/article/cd14c9db739e4ae4bd505c63bdc0c46c
Autor:
Yeltai Nurzat, Damao Dai, Julong Hu, Feiyu Zhang, Zaihuan Lin, Yang Huang, Liang Gang, Hang Ji, Xiaowen Zhang
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundCutaneous melanoma (CM) is an aggressive type of skin cancer. Even after standard treatment, the recurrence and malignant progression of CM were almost inevitable. The overall survival (OS) of patients with CM varied widely, making it criti
Externí odkaz:
https://doaj.org/article/6fe1eae9717449659d751e52d5700d7b
Publikováno v:
智慧农业, Vol 3, Iss 4, Pp 29-41 (2021)
With the continuous increase of import and export of various countries, people have put forward higher requirements on the efficiency and accuracy of meat and meat products safety indicators detection. Since electronic nose technology is simple to op
Externí odkaz:
https://doaj.org/article/d676851499a3467cabc3b89e6c8b8be4
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Objectives: In 2022, 55 million Chinese children participate in campus football; however, there is no physical fitness standard, making it a priority task to enhance the current national program. This study aimed to explore a pilot method for the dev
Externí odkaz:
https://doaj.org/article/e506415622c24a7485c870430796c172
Publikováno v:
Jixie qiangdu, Vol 41, Pp 430-435 (2019)
Aiming at exhaust pipe cracking failure of a single cylinder diesel engine, thermo-mechanical coupling approach based on equivalent vibration and material temperature effect was presented, and then varied stress was simulated using Finite Element Met
Externí odkaz:
https://doaj.org/article/583d1fa7fdcc46c985d4f7675fc47e76
Autor:
He, Sifeng, Yang, Xudong, Jiang, Chen, Liang, Gang, Zhang, Wei, Pan, Tan, Wang, Qing, Xu, Furong, Li, Chunguang, Liu, Jingxiong, Xu, Hui, Huang, Kaiming, Cheng, Yuan, Qian, Feng, Zhang, Xiaobo, Yang, Lei
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset. Compared with existing copy detection datasets restricted by either video-level annotation or small-scale, VCSL not on
Externí odkaz:
http://arxiv.org/abs/2203.02654
