Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Shengye WANG"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Comparing with cities, rural communities especially those declining rural communities have become vulnerable to natural disasters owing to their backward socioeconomic conditions. Taking Xun County of China’s Henan Province as the study ar
Externí odkaz:
https://doaj.org/article/2775081548e5464db44ddca4c7ec1601
Publikováno v:
Meitan xuebao, Vol 49, Iss 8, Pp 3667-3676 (2024)
To meet the “peak carbon and carbon neutrality” targets, the gradual reduction of coal-fired electricity generation through the co-firing of coal and NH3 has emerged as a new pathway to achieve carbon reduction. However, the co-firing characteris
Externí odkaz:
https://doaj.org/article/4fbab074841e4be8b64a4da620dde120
Publikováno v:
Electronic Research Archive, Vol 32, Iss 5, Pp 3377-3395 (2024)
This issue discusses the asymptotic synchronization and the exponential synchronization for memristor-based quaternion-valued neural networks under the time-varying delays. Some criteria for synchronization of the memristor-based quaternion-valued ne
Externí odkaz:
https://doaj.org/article/98e99445b8924690980a05e51062fcd0
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 2, Pp 411-424 (2024)
Abstract Automatically detecting and locating remote occlusion small objects from the images of complex traffic environments is a valuable and challenging research. Since the boundary box location is not sufficiently accurate and it is difficult to d
Externí odkaz:
https://doaj.org/article/1033f408a0894c8090a7115f37821d1e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/1355ff086aa949b1b374dbc9a561f0fe
Autor:
Liming Sheng, Lei Zhuang, Jing Yang, Danhong Zhang, Ying Chen, Jie Zhang, Shengye Wang, Guoping Shan, Xianghui Du, Xue Bai
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background The machine learning models with dose factors and the deep learning models with dose distribution matrix have been used to building lung toxics models for radiotherapy and achieve promising results. However, few studies have integ
Externí odkaz:
https://doaj.org/article/866c6f325d184e10aa792689f4e0a163
Publikováno v:
Electronic Research Archive, Vol 31, Iss 9, Pp 5609-5631 (2023)
The issues of exponential projective synchronization and adaptive exponential projective synchronization are analyzed for quaternion-valued memristor-based neural networks (QVMNNs) with time delays. Different from the results of existing decompositio
Externí odkaz:
https://doaj.org/article/b4e416dbacc84f648df9ddf6dd5f2cc0
Publikováno v:
Videosurgery and Other Miniinvasive Techniques, Vol 17, Iss 3, Pp 524-532 (2022)
Externí odkaz:
https://doaj.org/article/2ad3c87aeec04acc93dbad2afb1d0bb5
Publikováno v:
Mathematics, Vol 11, Iss 16, p 3553 (2023)
In this paper, the adaptive synchronization problem of quaternion-valued Cohen–Grossberg neural networks (QVCGNNs), with and without known parameters, is investigated. On the basis of constructing an appropriate Lyapunov function, and utilizing par
Externí odkaz:
https://doaj.org/article/1f31d55bc707494dace05656fd3a017e
Publikováno v:
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-15 (2021)
Abstract Background Neural-network methods have been widely used for the prediction of dose distributions in radiotherapy. However, the prediction accuracy of existing methods may be degraded by the problem of dose imbalance. In this work, a new loss
Externí odkaz:
https://doaj.org/article/9efd789ca03e4cb29d60bf63dba6a3e4