Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Guokun Xie"'
Autor:
Guokun Xie, Khaled S. Al-Zahrani, Majdi Talal Amin, Rishabh Chaturvedi, Hazim Moria, Elsayed Tag-Eldin, Fatemeh Shariati
Publikováno v:
Case Studies in Thermal Engineering, Vol 38, Iss , Pp 102275- (2022)
Today, the photovoltaic (PV) system is widely used to convert solar irradiance into electricity; whereas, increasing PV temperature leads to decrement of life and efficiency of PV. Therefore, studying and new novelties for cooling them can play an im
Externí odkaz:
https://doaj.org/article/f2854bca2bd443318b97777aa10d764e
Publikováno v:
International Journal of Antennas and Propagation, Vol 2022 (2022)
Recently, ship target detection in Synthetic aperture radar (SAR) images has become one of the current research hotspots and plays an important role in the real-time detection of sea regions. The traditional SAR ship detection methods usually consist
Externí odkaz:
https://doaj.org/article/adfd46156d4b43ce98950b94cb70a504
Publikováno v:
Advances in Multimedia, Vol 2022 (2022)
In order to study the current intelligent home pension system control technology, the new voice interaction technology is applied to the existing intelligent home pension system, and a multicontrol entry intelligent home pension system method is prop
Externí odkaz:
https://doaj.org/article/39953cd936d048b280065c239c80f331
Publikováno v:
Information Technology and Control. 51:485-498
The human behavior datasets have the characteristics of complex background, diverse poses, partial occlusion, and diverse sizes. Firstly, this paper adopts YOLO v3 and YOLO v4 algorithms to detect human objects in videos, and qualitatively analyzes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4549641ffed2c9807a3482c42847a8a3
https://doi.org/10.5755/j01.itc.51.3.30540
https://doi.org/10.5755/j01.itc.51.3.30540
Publikováno v:
Ionics. 28:2197-2202
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a3cb247923c98bc6b79c379975cbec6
https://doi.org/10.1007/s11581-022-04504-8
https://doi.org/10.1007/s11581-022-04504-8
Publikováno v:
Water; Volume 14; Issue 21; Pages: 3374
In the current research of debris flow geological disaster prediction, determining reasonable disaster-inducing factors and ensuring the accuracy and rapidity of the prediction model are considered vital issues, and also, essential foundations for di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ef38adcf49f0abc07e0a49d4e959030
Publikováno v:
Molecular Physics. 120
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa6842b8f8829bd3a2091f0bd09ed2d0
https://doi.org/10.1080/00268976.2022.2068459
https://doi.org/10.1080/00268976.2022.2068459
Autor:
Guokun Xie, Ningning Wang
Publikováno v:
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy ISBN: 9783030895105
As the aging of our country's population continues to increase, the number of elderly people in our country continues to increase, and the demand for aging products will also continue to increase. At the same time, with the continuous innovation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d4aea46d094173c07aace5191932d2
https://doi.org/10.1007/978-3-030-89511-2_69
https://doi.org/10.1007/978-3-030-89511-2_69
Autor:
Guokun Xie, Yinxing Li
Publikováno v:
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy ISBN: 9783030895105
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62d67427173cc13b0a5c8cc0fcac0e73
https://doi.org/10.1007/978-3-030-89511-2_10
https://doi.org/10.1007/978-3-030-89511-2_10
Publikováno v:
2021 IEEE Asia Conference on Information Engineering (ACIE).
In order to improve the results of building health status recognition, a method of building health status detection based on machine learning algorithms is proposed. First analyze the process of building health status recognition, find the factors th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7ca6c121a62ede93f4f93af5d4298ff
https://doi.org/10.1109/acie51979.2021.9381070
https://doi.org/10.1109/acie51979.2021.9381070