Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Lukun Wang"'
Publikováno v:
Electronic Research Archive, Vol 32, Iss 1, Pp 332-353 (2024)
Photovoltaic (PV) power generation is pivotal to the energy strategies of various nations, yet it is plagued by significant security challenges. This paper proposes a large-scale neural network model that integrates time-domain and frequency-domain t
Externí odkaz:
https://doaj.org/article/66683bdd663946288afed80b8ef984ba
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12404-12432 (2023)
This systematic review aims to investigate recent developments in the area of arc fault detection. The rising demand for electricity and concomitant expansion of energy systems has resulted in a heightened risk of arc faults and the likelihood of rel
Externí odkaz:
https://doaj.org/article/663054a375794a0d9c7b496acd066717
Publikováno v:
Ecology and Evolution, Vol 13, Iss 11, Pp n/a-n/a (2023)
Abstract Aim As invasive plants are often in a non‐equilibrium expansion state, traditional species distribution models (SDMs) are likely underestimating their suitable habitat. New methods are necessary to identify potential invasion risk areas. L
Externí odkaz:
https://doaj.org/article/4f2b80dfec264029af01920a6600ad92
Publikováno v:
Plants, Vol 12, Iss 10, p 1923 (2023)
Mangrove forests are one of the most productive and seriously threatened ecosystems in the world. The widespread invasion of Spartina alterniflora has seriously imperiled the security of mangroves as well as coastal mudflat ecosystems. Based on a mod
Externí odkaz:
https://doaj.org/article/c6e2419100614ef0b757820efe6654ca
Publikováno v:
IEEE Access, Vol 8, Pp 99509-99518 (2020)
During recent years, maglev transportation has made great progress, and as a result, many intelligent levitation control algorithms have emerged. However, enterprises often find it difficult to make a choice when faced with the selection of a control
Externí odkaz:
https://doaj.org/article/fc05043754f34cf0b66b64606d6106d8
Autor:
Man-Wen Tian, Lukun Wang, Shu-Rong Yan, Xiao-Xiao Tian, Zheng-Qiao Liu, Joel Jose P. C. Rodrigues
Publikováno v:
IEEE Access, Vol 7, Pp 138614-138623 (2019)
In the mobile era, more and more financial institutions are beginning to cooperate with financial technology companies to enhance services and attract customers. The emergence of 5G technology has provided new choices for financial institutions, and
Externí odkaz:
https://doaj.org/article/396536796c7d415eaebda54ad349f717
Publikováno v:
IEEE Access, Vol 7, Pp 172676-172682 (2019)
This paper investigates the Cucker-Smale flocking control problem of leader-follower multiagent systems in the presence of periodic intermittent communication, in which networked agents update the states by communicating with their neighbors during a
Externí odkaz:
https://doaj.org/article/0b6d7ee9bd6642e987ec37e0b003422b
Autor:
Lukun Wang
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-11 (2018)
Abstract This paper provides a novel approach for recognizing human behavior from RGB-D video data. The three-dimensional convolutional restricted Boltzmann machine (3DCRBM) is proposed which can extract features from the raw RGB-D data. In a physica
Externí odkaz:
https://doaj.org/article/b4516199d99d4280960a6b9761b9a8a9
Autor:
Lukun Wang
Publikováno v:
Sensors, Vol 16, Iss 2, p 189 (2016)
This paper provides an approach for recognizing human activities with wearable sensors. The continuous autoencoder (CAE) as a novel stochastic neural network model is proposed which improves the ability of model continuous data. CAE adds Gaussian ran
Externí odkaz:
https://doaj.org/article/66b73c465c8249638b53cf078ee4f6d2
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-23
With the rapid development of information technology, image and text data have increased dramatically. Image and text matching techniques enable computers to understand information from both visual and text modalities and match them based on semantic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6de0ddb9472dd3afe5b0031e9ab7982d
https://doi.org/10.1145/3563390
https://doi.org/10.1145/3563390