Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Jinglei LIU"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract Based on the local resonance theory, the vibration isolation performance of four-component periodic pile barriers consisting of a matrix, an outer pipe, an inner pipe, and a pile core was investigated using the finite element method (FEM). T
Externí odkaz:
https://doaj.org/article/46d5e60efea04267b3f4c8cba2cec177
Autor:
Mengyuan Zhang, Jinglei Liu
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1305-1319 (2024)
Abstract Image clustering has received significant attention due to the growing importance of image recognition. Researchers have explored Riemannian manifold clustering, which is capable of capturing the non‐linear shapes found in real‐world dat
Externí odkaz:
https://doaj.org/article/56927651696544c085dbfb9661348438
Publikováno v:
Animal Diseases, Vol 4, Iss 1, Pp 1-16 (2024)
Abstract Oxidative stress is an important contributor to gastrointestinal diseases in multiple ways. Taurodeoxycholic acid (TDCA) is a metabolite of bile acids and has anti-inflammatory and protective effects on the intestinal tract. However, whether
Externí odkaz:
https://doaj.org/article/033587c776574c7da68b2968e74f2dbd
Autor:
Zhaoyong LUO, Yan JIANG, Xiaoli YU, Jinglei LIU, Boning LI, Keying ZHANG, Shuling WANG, Tian XIE
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 15, Pp 429-442 (2024)
Dendrobium is a traditional, valuable, and nourishing medicinal herb in China. It benefits the stomach, promotes fluid production, nourishes Yin, and clears heat. Polysaccharides are among the main active ingredients of Dendrobium. By reviewing liter
Externí odkaz:
https://doaj.org/article/1acf226db6724316ab7c7ec1f80678d5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6501-6513 (2024)
Scene-level change detection (SLCD) can provide semantic change information at image level, thus it is of great significance for monitoring land use changes. Supervised SLCD approaches tend to outperform unsupervised ones. However, the existing super
Externí odkaz:
https://doaj.org/article/6c0247d322924529839e105ccfff8fec
Publikováno v:
Symmetry, Vol 16, Iss 9, p 1130 (2024)
To investigate the impact of the geometric parameters of periodic pile barriers on bandgap characteristics in passive vibration isolation, a two-dimensional, three-component unit cell was developed using the finite element method (FEM). This study an
Externí odkaz:
https://doaj.org/article/d20500481969467cbbb26d6ea3f6cb5e
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1303-1318 (2023)
Abstract The development of the Internet and big data has led to the emergence of graphs as an important data representation structure in various real-world scenarios. However, as data size increases, computational complexity and memory requirements
Externí odkaz:
https://doaj.org/article/945a391d019049618f2df45390fbda2b
Autor:
Yan Zhao, Xiangxiang Yin, Hailong Wang, Lijie Ge, Jialei Yan, Yunhe Li, Huilin Li, Jinglei Liu
Publikováno v:
Shock and Vibration, Vol 2024 (2024)
To study the impact of cutting blasting on the surface, a vibration waveform prediction function was constructed, and a method of dividing the affected area was proposed. Based on the equivalent spherical charge theory, it is possible to establish a
Externí odkaz:
https://doaj.org/article/ffae3c5b776a412bbd7d17780c9c4116
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 6, Iss 1, Pp 1-14 (2021)
Abstract Significant progress has been made in circular RNA (circRNA) research in recent years. Increasing evidence suggests that circRNAs play important roles in many cellular processes, and their dysregulation is implicated in the pathogenesis of v
Externí odkaz:
https://doaj.org/article/aa50ae3425f541a7858c435bcde25cc0
Autor:
Zhongyuan Wang, Jinglei Liu
Publikováno v:
IEEE Access, Vol 8, Pp 124633-124645 (2020)
How to deal with data sets in high-dimensional space is the focus of image processing. At present, subspace clustering method is one of the most commonly used methods for processing high-dimensional data sets. Traditional subspace clustering assumes
Externí odkaz:
https://doaj.org/article/9a54c8d9d09b450f8244e4de42af5066