Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xiaowei Shang"'
Autor:
Ting Liu, Siqi Wang, Jian Zhang, Lintai He, Bin Cheng, Huiyun Peng, Fanchun Liu, Bo Tan, Xiaowei Shang, Fan Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Thermal comfort studies are usually employed to find subjective thermal responses [indicated by neutral temperature (NT), i.e. the temperature with no thermal stress] of residents from a region towards thermal environments. According to the
Externí odkaz:
https://doaj.org/article/ea3166e19ae046b49ae55e17325e3f07
Publikováno v:
Buildings, Vol 14, Iss 10, p 3083 (2024)
Elevated temperatures in urban centers have become a common problem in cities around the world. However, the climate problems in suburban areas are equally severe; there is an urgent need to find zero-carbon ways to mitigate this problem. Recent stud
Externí odkaz:
https://doaj.org/article/5df55658cce543a79eae4b45f276a027
Publikováno v:
Nature-Based Solutions, Vol 4, Iss , Pp 100083- (2023)
Along with global climate change and urbanisation, the thermal environment is increasingly worse in summer, especially (sub)tropical regions. In recent decades, approaches improving the thermal environment have been frequently investigated. Factors o
Externí odkaz:
https://doaj.org/article/dac26f94d4204609bfc4e7b6c329e63b
Publikováno v:
IET Computer Vision, Vol 8, Iss 3, Pp 195-206 (2014)
This study proposes a new method to track the moving object based on undecimated scattering transform (UST). The UST removes the down‐sampling operation from the traditional scattering transform to produce a complete representation. Based on the US
Externí odkaz:
https://doaj.org/article/b9f2a5a20ede4ee787b6bf5750eae2fa
Publikováno v:
IEEE Transactions on Cloud Computing. :1-12
Publikováno v:
Journal of Thermal Biology. 113:103540
Publikováno v:
PACT
Substantial renovations in hardware cache have been focused on reducing cache interference between workloads recently. However, cache conflicts within each workload are surprisingly overlooked. The paper identifies that cache conflicts cannot be effe
Publikováno v:
2020 IEEE Cloud Summit.
This paper proposes a neuron drop-out mechanism to control the training paces of mobile devices in federated deep learning. The aim is to accelerate the speed of local training on slow mobile devices with minimal impact on training quality, such that
Publikováno v:
CVPR Workshops
Material recognition is researched in both computer vision and vision science fields. In this paper, we investigated how humans observe material images and found the eye fixation information improves the performance of material image classification m
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Material recognition from a single image is a challenging problem in the computer vision field due to the lack of reliable and discriminative features. Previous approaches employ off-the-shelf features such as SIFT descriptors or filter bank response