Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Siqian, Zhang"'
Autor:
Shuai Zhang, Haoyu Zhang, Xuejia Liu, Shengyuan Wang, Chuan Wang, Ge Zhou, Siqian Zhang, Lijia Chen
Publikováno v:
Journal of Materials Research and Technology, Vol 29, Iss , Pp 589-608 (2024)
The two-phase titanium alloy Ti–10 V–5Al-2.5Fe-0.1 B was taken as the experimental material, and thermal compression experiments were carried out at a deformation temperature of 770–920 °C and a strain rate of 0.0005–0.5 s−1. An Arrhenius
Externí odkaz:
https://doaj.org/article/203202f8f0f74469b52d71ee6ce2ddd9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15845-15861 (2024)
Synthetic aperture radar automatic target recognition (SAR ATR) has ushered in a new era dominated by deep-learning (DL) techniques. However, the DL-based recognition systems inevitably confront catastrophic forgetting for learned knowledge and overf
Externí odkaz:
https://doaj.org/article/5cd75c424a3148bb8edf41ccfd758c5b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4611-4625 (2024)
Deep learning has offered new ideas in SAR ship target recognition. Although many methods improve the recognition performance through the improvement of loss function and migration of deep networks, scattering features as the important intrinsic feat
Externí odkaz:
https://doaj.org/article/d8c7dbb407824960a7a453e2db04ec94
Publikováno v:
Crystals, Vol 14, Iss 10, p 869 (2024)
The thermal compression experiments of the GH99 alloy were carried out at different strains from 1020 °C to 1170 °C and 0.001 s−1–1 s−1 conditions using a Gleeble-3800 thermal compression simulation tester. Construction of thermal processing
Externí odkaz:
https://doaj.org/article/3b5e5f1235d94c22bb40c30dea0ae90c
Publikováno v:
Innovation and Green Development, Vol 3, Iss 1, Pp 100093- (2024)
This research delves into the underlying impacts of farmers' innovative entrepreneurship on agricultural and rural economic development in China, adopting a dynamic and spatio-temporal perspective. The study utilizes panel data encompassing 30 provin
Externí odkaz:
https://doaj.org/article/3181ab48987645f5a78651ee26a61cb9
Autor:
Xueyu, Jiang, Xin, Che, Ge, Zhou, Yunsheng, Zhang, Haoyu, Zhang, Siqian, Zhang, Lijia, Chen, Xue, Cao
Publikováno v:
In Materials Today Communications March 2024 38
Publikováno v:
Journal of Materials Research and Technology, Vol 23, Iss , Pp 4376-4384 (2023)
The Gleeble-3800 thermomechanical simulator unit was used to perform single-pass hot compression tests of the single-phase BCC structure AlFeCoNiMo0.2 high-entropy alloy at the deformation temperature of 950–1150 °C and strain rate of 0.001-1s−1
Externí odkaz:
https://doaj.org/article/11959493ffe447c0ba6615c00a5affa2
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1930 (2024)
SAR image target recognition relies heavily on a large number of annotated samples, making it difficult to classify the unseen class targets. Due to the lack of effective category auxiliary information, the current zero-shot target recognition method
Externí odkaz:
https://doaj.org/article/d83124e3e9fe4675ab2d8352b61a27b2
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-20 (2022)
Abstract In recent years, deep learning has brought significant progress for the problem of synthetic aperture radar (SAR) target classification. However, SAR image characteristics are highly sensitive to the change of imaging conditions. The inconsi
Externí odkaz:
https://doaj.org/article/b8836c2d7081454183137265463c8099
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-18 (2022)
Abstract Due to the huge data storage and transmission pressure, sparse data collection strategy has provided opportunities and challenges for 3D SAR imaging. However, sparse data brought by the sparse linear array will produce high-level side-lobes,
Externí odkaz:
https://doaj.org/article/34058495df254cafa98e160f2ee31df1