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Lei Zhang, Cuikun Wang, Caihua Chen and Mingzhe Cui
Against the backdrop of China?s continuous promotion of green and low-carbon transformation and the development of construction industrialization, high-strength composite structural systems have significant development prospects. However, their research ...
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Yulu Hou, Zhijun Zhao, Haibin Dong, Jiliang Ma and Yun Gao
Apiculture is an important industry closely related to the national economy and people?s livelihoods. Beekeepers? behavior is an important factor affecting the yield, quality, and benefits of apiculture. However, there is a lack of a systematic understan...
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Min Liu, Meng Xu, Liang Yuan, Shuiqin Zhang, Yanting Li and Bingqiang Zhao
Due to its broad yield-increasing effect and low cost, humic acid urea (HAU) has become one of the leading modified fertilizers worldwide. The fertisphere is the primary space where urea (U) granules participate in the soil nitrogen cycle, forming a nutr...
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Olga Kurasova, Arnoldas Bud?ys and Viktor Medvedev
As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of informatio...
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Gustavo E. Ramos-Alcaraz, Miguel A. Alonso-Arévalo and Juan M. Nuñez-Alfonso
Accurate attitude determination is crucial for satellites and spacecraft. Among attitude determination devices, star sensors are the most accurate. Solving the lost-in-space problem is the most critical function of the star sensor. Our research introduce...
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Orchidea Maria Lecian
The Reissner?Nordstrom spacetimes and some generalised Reissner?Nordstrom spacetimes are analysed. The blackhole solutions are considered. The generalised Reissner?Nordstrom spacetimes with a cosmological-constant term, endowed with a Schwarzschild solid...
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Jinkun Yang, Haitao Ma and Le Chen
In the process of globalization, the transformation of production methods has triggered a restructuring of scales, resulting in the emergence of a new spatial phenomenon known as cross-border regions. Previous studies have focused on the coordination of ...
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Zixin Feng, Teligeng Yun, Yu Zhou, Ruirui Zheng and Jianjun He
Geometric mean metric learning (GMML) algorithm is a novel metric learning approach proposed recently. It has many advantages such as unconstrained convex objective function, closed form solution, faster computational speed, and interpretability over oth...
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Bardia Rafieian, Pedro Hermosilla and Pere-Pau Vázquez
In data science and visualization, dimensionality reduction techniques have been extensively employed for exploring large datasets. These techniques involve the transformation of high-dimensional data into reduced versions, typically in 2D, with the aim ...
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Yunhong Li, Yuandong Bi, Weichuan Zhang, Jie Ren and Jinni Chen
An image edge detection algorithm using multi-directional and multi-scale Gabor filters is proposed in this paper. The main merit of this method is that high edge detection accuracy can be obtained while maintaining noise robustness. The approach propose...
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