Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Haiming Ni"'
Autor:
Wenxin Xia, Furui Jian, Cailing Yu, Haiming Ni, Hongqu Wu, Faidah Arina Nur, Lili Sun, Chuanwang Cao
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 282, Iss , Pp 116742- (2024)
Fluoride is an environmental pollutant that severely injures various organisms in ecosystems. Herein, the non-target organism, fall webworm (Hyphantria cunea), was used to determine the toxicological mechanism of NaF exposure. In this study, H. cunea
Externí odkaz:
https://doaj.org/article/f94d3855f2bb449c981e92a2dfb7a393
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8122 (2024)
In recent years, deep-learning methods have significantly improved the classification results in the field of plant-leaf recognition. However, limited by the model input, the original image needs to be compressed to a certain size before it can be in
Externí odkaz:
https://doaj.org/article/64414e0a00254b5880ca9f3805cb9b2e
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4794 (2024)
The majority of the energy required for human survival is derived either directly or indirectly from solar radiation, thus it is important to investigate the periodic fluctuations in global solar radiation over time. In this study, six cities—Harbi
Externí odkaz:
https://doaj.org/article/10c450e370164a9280cb20f22458533e
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
As an emerging fringe science, bionics integrates the understanding of nature, imitation of nature, and surpassing nature in one aspect, and it organically combines the synergistic complementarity of function and structure–function integrated mater
Externí odkaz:
https://doaj.org/article/1b13583b222b47c59d7a2940197c1275
Publikováno v:
Forests, Vol 13, Iss 12, p 2072 (2022)
Taxonomic studies of leaves are one of the most effective means of correctly identifying plant species. In this paper, mixed activation function is used to improve the ResNet50 network in order to further improve the accuracy of leaf recognition. Fir
Externí odkaz:
https://doaj.org/article/bfa452f0dd724d5a8c8d2a63e49c7ea4
Publikováno v:
Geofluids, Vol 2021 (2021)
In coal mine paste filling technology, geomaterials like coal gangue and fly ash are used as the main component, and cement is applied as the cementing material. In the mining production, mining-and-filling is a cyclic work, where the filling immedia
Externí odkaz:
https://doaj.org/article/07d1dd8791b94bf1be058b2f15c2e9e4
Publikováno v:
Forests, Vol 12, Iss 7, p 937 (2021)
The precise segmentation of forest areas is essential for monitoring tasks related to forest exploration, extraction, and statistics. However, the effective and accurate segmentation of forest images will be affected by factors such as blurring and d
Externí odkaz:
https://doaj.org/article/3db8b035d55f4fb8b2529f8e684776c5
Publikováno v:
Journal of Forestry Research. 33:579-589
Plant recognition has great potential in forestry research and management. A new method combined back propagation neural network and radial basis function neural network to identify tree species using a few features and samples. The process was carri
Publikováno v:
Geofluids, Vol 2021 (2021)
In coal mine paste filling technology, geomaterials like coal gangue and fly ash are used as the main component, and cement is applied as the cementing material. In the mining production, mining-and-filling is a cyclic work, where the filling immedia
Publikováno v:
Geotechnical and Geological Engineering. 39:3611-3626
As the underground transportation hub and power center, the stability of chamber group is one of the key points of coal mine construction. With the increasing of mining depth, it is more and more difficult to control the stability of roadway and cham