Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Yingwei Yu"'
Autor:
Yingwei Yu, Naizheng Bian
Publikováno v:
IEEE Access, Vol 8, Pp 49730-49740 (2020)
Network intrusion detection is an essential means to ensure the security of the network information system. In the real network, abnormal behaviors occur much less frequently than normal behaviors, resulting in scarcity of abnormal samples. We propos
Externí odkaz:
https://doaj.org/article/20f8160b2b4449b8813d9ce3984493a5
Autor:
Yingwei Yu, Chenxi Xia
Publikováno v:
Highlights in Art and Design. 2:42-48
As a way of artistic creation, misappropriation has long been studied and used by artists. This article will define the concept of misappropriation, by This article will define the concept of misappropriation, by combing the historical context of mis
Autor:
Chenxi Xia, Yingwei Yu
Publikováno v:
Highlights in Art and Design. 2:29-34
In the 5,000 years of Chinese history, the Tang Dynasty, with its self-confidence, openness and tolerance, widely absorbed the essence of various ethnic groups and foreign cultures, realized a high degree of intermingling of Hu and Han peoples and cu
Publikováno v:
Journal of Medical Biochemistry. 42:122-137
Background: As the most common primary malignant intracranial tumor, glioblastoma has a poor prognosis with limited treatment options. It has a high propensity for recurrence, invasion, and poor immune prognosis due to the complex tumor microenvironm
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Publikováno v:
Day 2 Wed, March 09, 2022.
The industry has focused mainly on extracting key performance indicators (KPI) from its operational processes that aggregate data in different forms. The computation of average values has been one of the most important ways to measure process perform
Publikováno v:
Day 1 Tue, March 08, 2022.
Operators drilling a directional well may suffer the uncertainties from the downhole environment, the equipment, and the human decision-making process. We proposed a method to evaluate steering decisions of multiple reinforcement learning agents by c
Publikováno v:
Day 4 Thu, March 11, 2021.
Drilling a directional well becomes an essential process in the oil and gas industry to ensure better reservoir exposure and less wellbore collision risk. In the high-volume drilling market, cost-effective mud motors are dominant. The motor is capabl
Publikováno v:
Day 1 Tue, March 03, 2020.
One of the practical challenges in the oil and gas industry is the lack of quality data for applying machine learning techniques. A way to tackle this problem is to build a hybrid system that combines physics models with machine learning workflows. T