Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Zengfu Wang"'
Publikováno v:
Leida xuebao, Vol 13, Iss 1, Pp 253-269 (2024)
Appropriate and effective resource scheduling is the key to achieving the best performance for a space-based radar. Considering the resource scheduling problem of multi-target tracking in a space-based radar system, we establish a cost function that
Externí odkaz:
https://doaj.org/article/27f7a575de0f4f72a41b374d228120e7
Consistency-based Air Target Height Estimation and Location in Distributed Space-based Radar Network
Publikováno v:
Leida xuebao, Vol 12, Iss 6, Pp 1249-1262 (2023)
When single space-based radar tracks and detects air targets, problems such as missing pitch angle information and nonlinear measurement lead to large target height estimation errors. Multi-space-based radar networking can solve this problem. Moreove
Externí odkaz:
https://doaj.org/article/3e641abf247c4d2290ccc7e879514e58
Publikováno v:
Aerospace, Vol 11, Iss 10, p 822 (2024)
A four-dimensional (4D) trajectory is a multi-dimensional time series that embodies rich spatiotemporal features. However, its high complexity and inherent uncertainty pose significant challenges for accurate prediction. In this paper, we present a n
Externí odkaz:
https://doaj.org/article/13b750790b8b49148336b9473f9d3505
Publikováno v:
Entropy, Vol 26, Iss 10, p 823 (2024)
To address the complex maneuvering characteristics of hypersonic targets in adjacent space, this paper proposes an LSTM trajectory estimation method combined with the attention mechanism and optimizes the model from the information-theoretic perspect
Externí odkaz:
https://doaj.org/article/f50d205d8c554b7f8d91d8eefa5f0b7a
Publikováno v:
Leida xuebao, Vol 12, Iss 3, Pp 642-656 (2023)
The traditional networked radar power allocation is typically optimized with a given jamming model, while the jammer resource allocation is optimized with a given radar power allocation method; such research lack gaming and interaction. Given the ris
Externí odkaz:
https://doaj.org/article/59f2ce508bc649b88b5122ae160e34bf
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3118-3129 (2021)
Abstract Chest X‐ray images taken under different conditions follow different distributions, preventing the models trained on a domain from generalising well on the other domain. In this paper, a generative domain adaptation (GDA) method is propose
Externí odkaz:
https://doaj.org/article/922a5e5584f14bee92aa760affe4c3d4
Autor:
Jiwei Chen, Zengfu Wang
Publikováno v:
IET Image Processing, Vol 15, Iss 6, Pp 1221-1231 (2021)
Abstract Deep learning occupies an undisputed dominance in crowd counting. This paper proposes a novel convolutional neural network architecture called SegCrowdNet. Despite the complex background in crowd scenes, the proposed SegCrowdNet still adapti
Externí odkaz:
https://doaj.org/article/038dd6cfaf78480e813390a8c668f349
Publikováno v:
IEEE Access, Vol 9, Pp 123847-123860 (2021)
Submarine cables are indispensable in today’s international data transmission. In the process of submarine cable path planning, any factors that may potentially affect reliability and cost should be considered. Still, the degree of importance of th
Externí odkaz:
https://doaj.org/article/3ec44de765a841a3874a211094a974ee
Publikováno v:
IEEE Access, Vol 8, Pp 37976-37987 (2020)
Combining global and local features is an essential solution to improve discriminative performances in facial expression recognition tasks. The limitations of existing methods are that they cannot extract crucial local features and ignore the complem
Externí odkaz:
https://doaj.org/article/58e532d71db148a89534a5421a663dba
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
In this article, we consider the problem of optimally selecting a subset of transmitters from a transmitter set available to a multiple-input and multiple-output radar network. The aim is to minimize the location estimation error of underlying target
Externí odkaz:
https://doaj.org/article/16d22a793fe04fc7958228d1b18e46d9