Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Yuexing Peng"'
Publikováno v:
IET Signal Processing, Vol 16, Iss 5, Pp 588-600 (2022)
Abstract Unmanned aerial vehicles (UAVs), widely used due to their low cost and versatility, pose security and privacy threats, which calls for their reliable recognition at low altitudes. However, strong ground clutter and multipath effects severely
Externí odkaz:
https://doaj.org/article/4d476cff1d2945f08a153eaa38826b53
Publikováno v:
Frontiers in Surgery, Vol 8 (2021)
Background: Elderly patients undergoing hip fracture repair surgery are at increased risk of delirium due to aging, comorbidities, and frailty. But current methods for identifying the high risk of delirium among hospitalized patients have moderate ac
Externí odkaz:
https://doaj.org/article/a0fcc7f012ed4a2090c1d11013858f9c
Publikováno v:
IEEE Access, Vol 7, Pp 4045-4055 (2019)
Electric load forecasting (ELF) is vitally beneficial for electrical power planning and economical running in smart grid. However, the medium-term load forecasting has been rarely studied. In addition, existing ELF models mainly consider the impact o
Externí odkaz:
https://doaj.org/article/5b09c27e60764e598d47e5228531e13d
Publikováno v:
Energies, Vol 12, Iss 20, p 3809 (2019)
Short term load forecasting (STLF) is one of the basic techniques for economic operation of the power grid. Electrical load consumption can be affected by both internal and external factors so that it is hard to forecast accurately due to the random
Externí odkaz:
https://doaj.org/article/f5851bf354e54bcea5273c63a30f1f70
Publikováno v:
Sensors, Vol 16, Iss 10, p 1562 (2016)
The bandwidth shortage has motivated the exploration of the millimeter wave (mmWave) frequency spectrum for future communication networks. To compensate for the severe propagation attenuation in the mmWave band, massive antenna arrays can be adopted
Externí odkaz:
https://doaj.org/article/79f73ac2622d4490ba8e5e1a07bc7c3c
Publikováno v:
IEEE Sensors Journal. 23:6369-6377
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-14
This paper proposes a knowledge-and-data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network. The aircraft recognizability analysis shows that: (1) the semantic feature of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b088c30f13203d32fc4df524b988b610
http://arxiv.org/abs/2204.07360
http://arxiv.org/abs/2204.07360
Publikováno v:
Frontiers in Surgery, Vol 8 (2021)
Frontiers in Surgery
Frontiers in Surgery
Background: Elderly patients undergoing hip fracture repair surgery are at increased risk of delirium due to aging, comorbidities, and frailty. But current methods for identifying the high risk of delirium among hospitalized patients have moderate ac
Publikováno v:
IEEE Access, Vol 7, Pp 4045-4055 (2019)
Electric load forecasting (ELF) is vitally beneficial for electrical power planning and economical running in smart grid. However, the medium-term load forecasting has been rarely studied. In addition, existing ELF models mainly consider the impact o