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Weihua Zhao, Weijie Guo, Liangyuan Zhao, Qingyun Li, Xiaohuan Cao and Xianqiang Tang
Many studies have investigated the influence of hydropower stations on macroinvertebrate communities, but few have clarified the influence of different types of hydropower stations. A total of 133 samples obtained from seven rivers, on which 45 hydropowe...
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Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C...
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Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang and Changming Sun
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature representa...
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Manuel Moya, David Sánchez, José Ángel Romero and José Ramón Villar-García
The loads generated inside agricultural silos under static and dynamic conditions depend on the mechanical properties of the materials stored inside them. Silo calculation methodologies are based on these mechanical properties. Although it is known that ...
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Jiabao Li, Lichi An, Yabing Cheng and Haoxiang Wang
To improve the noise comfort of the whole machine, it is necessary to establish the sound quality prediction model of the Hy-Vo chain transmission system. Compared with the silent chain transmission system, the Hy-Vo chain transmission system normally op...
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Ryota Higashimoto, Soh Yoshida and Mitsuji Muneyasu
This paper addresses the performance degradation of deep neural networks caused by learning with noisy labels. Recent research on this topic has exploited the memorization effect: networks fit data with clean labels during the early stages of learning an...
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Maria Perraki, Vasilios Skliros, Petros Mecaj, Eleni Vasileiou, Christos Salmas, Ioannis Papanikolaou and Georgios Stamatis
Sixteen surface (5) and groundwater (11) samples were collected from the south-eastern part of Attica, Greece, and analysed for physico-chemical parameters and microplastics (MPs) by optical microscopy and Raman microspectroscopy (RS). A total of 3399 pa...
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Bouwèdèo Toi Bissang, Antonio J. Aragón-Barroso, Gnon Baba, Jesús González-López and Francisco Osorio
Drinking water requires excellent physico-chemical quality. It must therefore not contain any substance which is harmful, or which may harm the health of the consumer. The drinking water supply of Bangeli canton (Togo) is provided by ground water and sur...
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Ziting Yuan, Yantao Jian, Zhi Chen, Pengfei Jin, Sen Gao, Qi Wang, Zijun Ding, Dandan Wang and Zhiyuan Ma
The Hutuo River Drinking Water Source Area is an important water source of Shijiazhuang (North China Plain). Knowing the characteristics of groundwater chemistry/quality is essential for the protection and management of water resources. However, there ar...
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Laura Marcelli
The telescope Mini-EUSO has been observing, since 2019, the Earth in the ultraviolet band (290?430 nm) through a nadir-facing UV-transparent window in the Russian Zvezda module of the International Space Station. The instrument has a square field of view...
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