Zobrazeno 1 - 10
of 381
pro vyhledávání: '"Mengke Wang"'
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2389-2399 (2024)
Abstract Aiming at the problem that traditional methods are difficult to fully utilize the rich spectral information in hyperspectral images (HSI) and fail to capture the complex higher‐order relations in hyperspectral data, which leads to limited
Externí odkaz:
https://doaj.org/article/8c15645a1d80419c91c028b4f094e508
Autor:
Mengke Wang, Samuel B. Lassers, Yash S. Vakilna, Bryce A. Mander, William C. Tang, Gregory J. Brewer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Spindle-shaped waves of oscillations emerge in EEG scalp recordings during human and rodent non-REM sleep. The association of these 10–16 Hz oscillations with events during prior wakefulness suggests a role in memory consolidation. Human a
Externí odkaz:
https://doaj.org/article/4f8410eeae31423cae70f8d16f17f2a2
Publikováno v:
IEEE Access, Vol 12, Pp 41988-41998 (2024)
Nonwoven fabric defect detection is an essential part of the production process, and it is important to realize fast and accurate nonwoven fabric defect detection to improve production efficiency. Aiming at the problems of nonwoven fabric defect dete
Externí odkaz:
https://doaj.org/article/d834877c72da49fd8e9278af86e8f930
Stable and Highly Efficient Photocatalysis with Two-Dimensional Organic–Inorganic Hybrid Perovskites
Publikováno v:
ACS Omega, Vol 9, Iss 3, Pp 3931-3941 (2024)
Externí odkaz:
https://doaj.org/article/8fe5158674cf4c458512801b510f7d73
Autor:
Quanxin Bi, Mengke Wang, Jiang Li, Jinmin Lian, Yongchao Niu, Yifan Cui, Xiaojuan Liu, Haiyan Yu, Libing Wang
Publikováno v:
Horticultural Plant Journal, Vol 9, Iss 6, Pp 1193-1206 (2023)
Yellowhorn (Xanthoceras sorbifolium), especially its varieties, is the red petal yellowhorn (X. sorbifolium var. purpurea), an important tree species with great ornamental value, and its flower petals change color throughout the flowering period. In
Externí odkaz:
https://doaj.org/article/563559728d604ddf8897b0bcd5740acf
Publikováno v:
ACS Omega, Vol 9, Iss 1, Pp 1714-1722 (2023)
Externí odkaz:
https://doaj.org/article/e151b169145e41a2995282f12b5efff2
Autor:
Zhenhua Liu, Mengke Wang, Lijun Meng, Yixiao Chen, Qiuyi Wang, Yan Zhang, Xuefeng Xi, Wenyi Kang
Publikováno v:
Food Science and Human Wellness, Vol 12, Iss 6, Pp 2014-2021 (2023)
Patrinia scabiosaefolia, is used as wild vegetable in China for more than 2 000 years, with a variety of pharmacological activities, including anti-inflammatory, anti-tumor and hypoglycemic. Based on our ongoing research on chemical constituents and
Externí odkaz:
https://doaj.org/article/6d0cdd2437f0405b883ff333c7f3a1c8
Autor:
Xiao Han, Jia Guo, Mengke Wang, Nan Zhang, Jie Ren, Ying Yang, Xu Chi, Yusheng Chen, Huan Yao, Yong-Liang Zhao, Yun-Gui Yang, Yingpu Sun, Jiawei Xu
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 21, Iss 4, Pp 805-822 (2023)
After implantation, complex and highly specialized molecular events render functionally distinct organ formation, whereas how the epigenome shapes organ-specific development remains to be fully elucidated. Here, nano-hmC-Seal, RNA bisulfite sequencin
Externí odkaz:
https://doaj.org/article/e09189b74a6a4253a9ff8f65ba82ec80
Publikováno v:
Sensors, Vol 24, Iss 11, p 3694 (2024)
The research on high-precision and all-scenario localization using the millimeter-wave (mmWave) band is of great urgency. Due to the characteristics of mmWave, blockages make the localization task more complex. This paper proposes a cooperative local
Externí odkaz:
https://doaj.org/article/8b8bbfd4e77d410ab5aa10d4c3bfd4e1
Multi feature fusion network for schizophrenia classification and abnormal brain network recognition
Autor:
Chang Wang, Chen Wang, Yaning Ren, Rui Zhang, Lunpu Ai, Yang Wu, Xiangying Ran, Mengke Wang, Heshun Hu, Jiefen Shen, Zongya Zhao, Yongfeng Yang, Wenjie Ren, Yi Yu
Publikováno v:
Brain Research Bulletin, Vol 206, Iss , Pp 110848- (2024)
Schizophrenia classification and abnormal brain network recognition have an important research significance. Researchers have proposed many classification methods based on machine learning and deep learning. However, fewer studies utilized the advant
Externí odkaz:
https://doaj.org/article/e805624154a34398be5ccd1c9b9cc763