Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Jun‐bao Li"'
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
The object detection method serves as the core technology within the unmanned driving perception module, extensively employed for detecting vehicles, pedestrians, traffic signs, and various objects. However, existing object detection methods still en
Externí odkaz:
https://doaj.org/article/8210ff45e2af438cb3c6361ab86b8bfe
Publikováno v:
Defence Technology, Vol 19, Iss , Pp 91-102 (2023)
This article investigates the characteristics of shock wave overpressure generated by multi-layer composite charge under different detonation modes. Combining dimensional analysis and the explosion mechanism of the charge, a peak overpressure predict
Externí odkaz:
https://doaj.org/article/2aebff4ede084bc1815400fd2f0c61d8
Publikováno v:
Defence Technology, Vol 18, Iss 4, Pp 583-592 (2022)
A layered charge composed of the JH-2 explosive enveloped by a thick-walled cylindrical casing (active aluminum/rubber and inert lithium fluoride/rubber composites) was designed and explosion experiments were conducted in a 1.3 m3 tank and a 113 m3 b
Externí odkaz:
https://doaj.org/article/0cabf19c23c044a3a44e02fee2e4f509
Publikováno v:
IEEE Access, Vol 8, Pp 153250-153263 (2020)
Automatic target recognition (ATR) has always been an important research topic, and the performance is affected by feature extraction. High-resolution range profiles (HRRP) contains structural information of target from different angles. Existing tar
Externí odkaz:
https://doaj.org/article/a3e6f6b540a8462997e70d7f54960cc7
Publikováno v:
Materials & Design, Vol 191, Iss , Pp - (2020)
The shock response of aluminum powder/rubber matrix composites containing 40, 50, and 60 vol% Al was investigated using the plate impact test and explosive loading technique. The shock stress in the range of 0.61–13.97 GPa was measured and the free
Externí odkaz:
https://doaj.org/article/a47aded353a647169f0ba7d33ad0513b
Publikováno v:
Sensors, Vol 19, Iss 19, p 4244 (2019)
Infrared and visible image matching methods have been rising in popularity with the emergence of more kinds of sensors, which provide more applications in visual navigation, precision guidance, image fusion, and medical image analysis. In such applic
Externí odkaz:
https://doaj.org/article/04383c645ce54fa68f958e1214240040
Publikováno v:
Applied Intelligence. 53:9689-9707
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0076c3b68a3693f4f284ab7c8aa19e4b
https://doi.org/10.1007/s10489-022-03668-0
https://doi.org/10.1007/s10489-022-03668-0
Publikováno v:
Propellants, Explosives, Pyrotechnics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6448f16f452142e084ea92c8402803b
https://doi.org/10.1002/prep.202200318
https://doi.org/10.1002/prep.202200318
Publikováno v:
Физика горения и взрыва.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::926956c57b4607e5f7e1baf8e13e1cf1
https://doi.org/10.15372/fgv2022.9268
https://doi.org/10.15372/fgv2022.9268
Publikováno v:
Neurocomputing. 456:288-298
Deep convolutional neural networks have shown great potential in image recognition tasks. However, the fact that the mechanism of deep learning is difficult to explain hinders its development. It involves a large amount of parameter learning, which r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e10938385011478b3b95aa9d696de03
https://doi.org/10.1016/j.neucom.2021.05.092
https://doi.org/10.1016/j.neucom.2021.05.092