Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Zhipeng, Cao"'
Autor:
Xiaoxin Mi, Zhen Dong, Zhipeng Cao, Bisheng Yang, Zhen Cao, Chao Zheng, Jantien Stoter, Liangliang Nan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104139- (2024)
Accurate lane maps with semantics are crucial for various applications, such as high-definition maps (HD Maps), intelligent transportation systems (ITS), and digital twins. Manual annotation of lanes is labor-intensive and costly, prompting researche
Externí odkaz:
https://doaj.org/article/e865c1adaad241929ac0f72d82f67d17
Autor:
Juehua Zhu, Qiang Dong, Zhipeng Cao, Yi Xu, Shufan Zhang, Qi Fang, Xiuying Cai, Xiang Han, Shilin Yang
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34225- (2024)
Introduction: Primary Sjögren's syndrome (PSS) is a systemic autoimmune disease that mainly affects exocrine glands. Little is known about PSS associated cervical and intracranial cerebral large-vessel vasculitis outside of individual case reports.
Externí odkaz:
https://doaj.org/article/806759f68c794fbdb585b69a3af8045c
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 12, Pp 677-681 (2024)
Flexible photodetector is crucial for the intelligent industrial applications. However, the optical-sensitive materials are usually grown in a high temperature and then transferred onto the flexible substrate. This paper reported a directly fabricate
Externí odkaz:
https://doaj.org/article/c1cbee84d4ef4da0a5bb0a5e13d3470f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4986-5000 (2024)
Earth observation (EO) videos are undergoing rapid expansion due to the swift advancements in aerial, spaceborne, and ground remote sensing technologies enabling the continuous capture of imagery of the Earth's surface. Compared with traditional imag
Externí odkaz:
https://doaj.org/article/3fdd4365708a4f87b2e64ec264b0f67c
Autor:
Zhipeng Cao, Guilai Zhan, Jinmei Qin, Renata B. Cupertino, Jonatan Ottino-Gonzalez, Alistair Murphy, Devarshi Pancholi, Sage Hahn, Dekang Yuan, Peter Callas, Scott Mackey, Hugh Garavan
Publikováno v:
NeuroImage, Vol 293, Iss , Pp 120622- (2024)
Correlating transcriptional profiles with imaging-derived phenotypes has the potential to reveal possible molecular architectures associated with cognitive functions, brain development and disorders. Competitive null models built by resampling genes
Externí odkaz:
https://doaj.org/article/5bf238024c144747b095adb721d50a2a
Publikováno v:
Energies, Vol 17, Iss 16, p 4076 (2024)
To ensure the stable operation of a wind turbine generator system when the wind speed exceeds the rated value and address the issue of excessive rotor speed during high wind speeds, this paper proposes a novel variable pitch controller strategy based
Externí odkaz:
https://doaj.org/article/16967ec9768e4485b1b43c512dbef1bf
Autor:
Zhipeng Cao, Liangcun Jiang, Peng Yue, Jianya Gong, Xiangyun Hu, Shuaiqi Liu, Haofeng Tan, Chang Liu, Boyi Shangguan, Dayu Yu
Publikováno v:
Geo-spatial Information Science, Pp 1-20 (2023)
ABSTRACTArtificial Intelligence (AI) Machine Learning (ML) technologies, particularly Deep Learning (DL), have demonstrated significant potential in the interpretation of Remote Sensing (RS) imagery, covering tasks such as scene classification, objec
Externí odkaz:
https://doaj.org/article/35b755753428416f8762e33772c09a68
Autor:
Peng Li, Tongrui Li, Sen Liao, Zhipeng Cao, Rui Xu, Yuzhe Wang, Jianghao Yao, Shengtao Cui, Zhe Sun, Yilin Wang, Xiangang Wan, Juan Jiang, Donglai Feng
Publikováno v:
npj Quantum Materials, Vol 8, Iss 1, Pp 1-7 (2023)
Abstract Using angle resolved photoemission spectroscopy measurements and first principle calculations, we report that the possible unconventional 2q antiferromagnetic (AFM) order in NdSb can induce unusual modulation on its electronic structure. The
Externí odkaz:
https://doaj.org/article/323c96a31d2f46a48e68bacee45053dd
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 2, Pp 218-241 (2023)
ABSTRACTThe rapid processing, analysis, and mining of remote-sensing big data based on intelligent interpretation technology using remote-sensing cloud computing platforms (RS-CCPs) have recently become a new trend. The existing RS-CCPs mainly focus
Externí odkaz:
https://doaj.org/article/2bbe15b50c124bccb64201ff363bb64d
Autor:
Zhipeng Cao, Matthew McCabe, Peter Callas, Renata B. Cupertino, Jonatan Ottino-González, Alistair Murphy, Devarshi Pancholi, Nathan Schwab, Orr Catherine, Kent Hutchison, Janna Cousijn, Alain Dagher, John J. Foxe, Anna E. Goudriaan, Robert Hester, Chiang-Shan R. Li, Wesley K. Thompson, Angelica M. Morales, Edythe D. London, Valentina Lorenzetti, Maartje Luijten, Rocio Martin-Santos, Reza Momenan, Martin P. Paulus, Lianne Schmaal, Rajita Sinha, Nadia Solowij, Dan J. Stein, Elliot A. Stein, Anne Uhlmann, Ruth J. van Holst, Dick J. Veltman, Reinout W. Wiers, Murat Yücel, Sheng Zhang, Patricia Conrod, Scott Mackey, Hugh Garavan, The ENIGMA Addiction Working Group
Publikováno v:
Frontiers in Neuroimaging, Vol 2 (2023)
IntroductionThere are growing concerns about commonly inflated effect sizes in small neuroimaging studies, yet no study has addressed recalibrating effect size estimates for small samples. To tackle this issue, we propose a hierarchical Bayesian mode
Externí odkaz:
https://doaj.org/article/a9e7bfb5c4094b3094c15ed84edecb02