Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Zhanpeng Yang"'
Publikováno v:
IET Image Processing, Vol 18, Iss 5, Pp 1161-1177 (2024)
Abstract More accurate methods for crop row detection benefit intelligent operation of agricultural machinery, especially avoiding mishandling or crushing crops. For achieving such a target, a traditional method combining the ExGR exponents, Otsu alg
Externí odkaz:
https://doaj.org/article/0dabd688ba6746efbc10f5a704fe1795
Publikováno v:
Symmetry, Vol 16, Iss 10, p 1363 (2024)
Deep neural network models are vulnerable to attacks from adversarial methods, such as gradient attacks. Evening small perturbations can cause significant differences in their predictions. Adversarial training (AT) aims to improve the model’s adver
Externí odkaz:
https://doaj.org/article/4648795261e94184a1436bc1b24dcaf1
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 7, Pp 1175-1181 (2023)
Abstract Domain adaptation modulation classification aims to improve the cross‐domain robustness of modulation classification, with the basic idea of mitigating the domain shift between the label‐rich source domain and label‐poor target domain
Externí odkaz:
https://doaj.org/article/c3a8e69a8edd4e3882757068b4f60fa2
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 20 (2023)
The end effector characterizing a flipping–cutting way is designed firstly for picking spherical fruits with a good universality, which is mainly composed of three parts such as a clamping mechanism, a flipping mechanism, and a cutting mechanism. S
Externí odkaz:
https://doaj.org/article/0e22fefdcd5548d1842065d55c0f41f8
Publikováno v:
Axioms, Vol 12, Iss 4, p 376 (2023)
The metric matrix theory is an important research object of metric measure geometry and it can be used to characterize the geometric structure of a set. For intuitionistic fuzzy sets (IFS), we defined metric information matrices (MIM) of IFS by using
Externí odkaz:
https://doaj.org/article/9db81589f5d84eff84a62468a9033888
Publikováno v:
IEEE Access, Vol 9, Pp 148017-148023 (2021)
In this paper, we focus the problem of unsupervised domain adaptation which transfers knowledge from a well-labeled source domain to an unlabeled target domain with distinctive distributions. Based on Gromov-Hausdorff’s theory, we proposed two kind
Externí odkaz:
https://doaj.org/article/16d7b5987e864a538b69a0f7c9ea5d1e
Publikováno v:
IEEE Access, Vol 8, Pp 130314-130322 (2020)
Automatic modulation classification (AMC) plays a key role in cognitive radio. For AMC, convolutional neural networks (CNNs) have been explored in previous works extensively and deliver the best performance. However, temporal dependencies of signals
Externí odkaz:
https://doaj.org/article/d9bd5b2aad7045b5a887b28cec7dbc9b
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2726 (2023)
With the progress of signal processing technology and the emergence of new system radars, the space electromagnetic environment becomes more and more complex, which puts forward higher requirements for the deinterleaving method of radar signals. Trad
Externí odkaz:
https://doaj.org/article/c8c4ea014252406b829ada40eff96980
Publikováno v:
Sensors, Vol 21, Iss 22, p 7474 (2021)
With the development of signal processing technology and the use of new radar systems, signal aliasing and electronic interference have occurred in space. The electromagnetic signals have become extremely complicated in their current applications in
Externí odkaz:
https://doaj.org/article/155dc6e7d8394f20990801edae434677
Publikováno v:
Information Sciences. 628:424-438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a7d0b57b29570e007f8da4aa04bae54
https://doi.org/10.1016/j.ins.2023.01.096
https://doi.org/10.1016/j.ins.2023.01.096