Zobrazeno 1 - 10
of 57
pro vyhledávání: '"YUNFAN CHEN"'
Publikováno v:
Polish Journal of Pathology, Vol 75, Iss 2, Pp 138-152 (2024)
The calcium-activated chloride channel (CLCA4) in colon adenocarcinoma (COAD) and immunological infiltration have not been extensively studied. This work thoroughly employed several datasets to assess the expression, prognosis, and association betwee
Externí odkaz:
https://doaj.org/article/7defcd67ed8b461fb5a50cfeda9daf64
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6619-6632 (2024)
Abstract The aftermath of a natural disaster leaves victims trapped in rubble which is challenging to detect by smart drones due to the victims in low visibility under the adverse disaster environments and victims in various sizes. To overcome the ab
Externí odkaz:
https://doaj.org/article/1588807e195f436b83f3feed5afeeb20
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 12, p 352 (2023)
Recent research demonstrates that the fusion of multimodal images can improve the performance of pedestrian detectors under low-illumination environments. However, existing multimodal pedestrian detectors cannot adapt to the variability of environmen
Externí odkaz:
https://doaj.org/article/96f594d5919846d5b3e994a6d6fa69a5
Autor:
Yunfan Chen
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
The aim of the present study was to examine the relationships between ACEs and behavioral problems of children in their early adolescence in Chinese society. Results from bivariate analyses of 2,910 Chinese children in early adolescence indicated tha
Externí odkaz:
https://doaj.org/article/3099cbbbd1274581b03d82f632955008
Publikováno v:
Water Cycle, Vol 2, Iss , Pp 64-70 (2021)
In this study, a completely autotrophic nitrogen-removal over nitrite (CANON) process was started in a membrane bioreactor at ambient temperature, to which a static magnetic field (SMF) at a 20 mT intensity was applied to evaluate the enhancement
Externí odkaz:
https://doaj.org/article/f2485854647848e588ada82346e013bc
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
Drug addiction is a chronic psychiatric disorder characterized by compulsive drug-seeking and drug-using behavior, and a tremendous socioeconomic burden to society. Current pharmacological and psychosocial methods have shown limited treatment effects
Externí odkaz:
https://doaj.org/article/ab03ee049d7849a79a7a9e843bc0d104
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3686 (2022)
Owing to its wide range of applications, 3D object detection has attracted increasing attention in computer vision tasks. Most existing 3D object detection methods are based on Lidar point cloud data. However, these methods have some limitations in l
Externí odkaz:
https://doaj.org/article/2e385a99ae5d40a284670976661ef59f
Publikováno v:
IET Computer Vision, Vol 12, Iss 8, Pp 1179-1187 (2018)
In this study, a novel multi‐layer fused convolution neural network (MLF‐CNN) is proposed for detecting pedestrians under adverse illumination conditions. Currently, most existing pedestrian detectors are very likely to be stuck under adverse ill
Externí odkaz:
https://doaj.org/article/9f1ff332bc21473ab9d07817d9dcad24
Autor:
Yunfan Chen, Hyunchul Shin
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 809 (2020)
Pedestrian-related accidents are much more likely to occur during nighttime when visible (VI) cameras are much less effective. Unlike VI cameras, infrared (IR) cameras can work in total darkness. However, IR images have several drawbacks, such as low
Externí odkaz:
https://doaj.org/article/774d95eca233423da6cf7f863f31f64e
Publikováno v:
Entropy, Vol 21, Iss 6, p 570 (2019)
In this paper, we present a new effective infrared (IR) and visible (VIS) image fusion method by using a deep neural network. In our method, a Siamese convolutional neural network (CNN) is applied to automatically generate a weight map which represen
Externí odkaz:
https://doaj.org/article/e66e8e22779040418f21928c6df70941