Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kerang Cao"'
Autor:
Jun Wang, Ning Wang, Bingnan Sun, Kerang Cao, Hoekyung Jung, Mohammed A. El-Meligy, Mohamed Sharaf
Publikováno v:
IEEE Access, Vol 12, Pp 22746-22758 (2024)
In traditional Wireless Sensor Network routing protocols, data collected through timed interval sensing tends to have high temporal redundancy, which leads to unnecessary energy drain. To alleviate this problem and enable sensor networks to save ener
Externí odkaz:
https://doaj.org/article/467bf9dd0ab14e5ba404bb294776306f
Publikováno v:
Energies, Vol 17, Iss 16, p 3958 (2024)
Photovoltaic (PV) power generation is significantly impacted by environmental factors that exhibit substantial uncertainty and volatility, posing a critical challenge for accurate PV power prediction in power system management. To address this, a par
Externí odkaz:
https://doaj.org/article/4ed85a67181c44638b3f075dff2f280c
Publikováno v:
IEEE Access, Vol 11, Pp 126436-126446 (2023)
Regional traffic flow forecasting is the key to the realization of intelligent transportation system. The existing traffic flow forecasting methods have problems such as insufficient Spatio-temporal Correlation modeling and ignoring the impact of wea
Externí odkaz:
https://doaj.org/article/0819e615a1004883ad1cb6fa72513938
Publikováno v:
Advances in Mechanical Engineering, Vol 13 (2021)
The vibration and sound signals get widely applications in fault diagnosis of rolling bearing systems, but the detection accuracy is unstable at different measuring positions. This paper puts forward a two-step vibration-sound signal fusion method, i
Externí odkaz:
https://doaj.org/article/9ad7d88120994018a626769537a89f9c
Publikováno v:
Future Internet, Vol 12, Iss 11, p 178 (2020)
To classify the image material on the internet, the deep learning methodology, especially deep neural network, is the most optimal and costliest method of all computer vision methods. Convolutional neural networks (CNNs) learn a comprehensive feature
Externí odkaz:
https://doaj.org/article/dc1b67f39c2b4bfdaf4f69d6e7820a18
Publikováno v:
Information, Vol 11, Iss 8, p 391 (2020)
Facial beauty prediction (FBP) is a burgeoning issue for attractiveness evaluation, which aims to make assessment consistent with human opinion. Since FBP is a regression problem, to handle this issue, there are data-driven methods for finding the re
Externí odkaz:
https://doaj.org/article/0ac6b20907934e40a12c2b9cab92c094
Publikováno v:
Processes; Volume 10; Issue 11; Pages: 2287
A chemical industry park (CIP) has a wide variety of hazardous chemicals, and once an accident occurs, the level of danger increases geometrically, while the domino effect may bring devastating consequences. To improve the emergency rescue capability
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
In this note, we revisit two types of scheduling problem with weighted early/late work criteria and a common due date. For parallel identical machines environment, we present a dynamic programming approach running in pseudopolynomial time, to classif
Publikováno v:
International Journal of Computer Mathematics. :1-16
The pth moment stability of stochastic Markov jump systems (SMJSs) with time-delays and polynomial growth was investigated in this paper. Both the involved time-delays and polynomial growth are mod...
Publikováno v:
Information
Volume 11
Issue 8
Information, Vol 11, Iss 391, p 391 (2020)
Volume 11
Issue 8
Information, Vol 11, Iss 391, p 391 (2020)
Facial beauty prediction (FBP) is a burgeoning issue for attractiveness evaluation, which aims to make assessment consistent with human opinion. Since FBP is a regression problem, to handle this issue, there are data-driven methods for finding the re