Zobrazeno 1 - 10
of 88
pro vyhledávání: '"SegFormer"'
Autor:
Yun Zhang, Liang Tong, Xingping Lai, Shenggen Cao, Baoxu Yan, Yanbin Yang, Yongzi Liu, Wei He
Publikováno v:
International Journal of Coal Science & Technology, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Coal-rock interface identification technology was pivotal in automatically adjusting the shearer’s cutting drum during coal mining. However, it also served as a technical bottleneck hindering the advancement of intelligent coal mining. Thi
Externí odkaz:
https://doaj.org/article/0536c3b9ea724cf5a8eaea93ccd2b65b
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract Palm leaf manuscripts (PLMs) are of great importance in recording Buddhist Scriptures, medicine, history, philosophy, etc. Some damages occur during the use, spread, and preservation procedure. The comprehensive investigation of Sanskrit PLM
Externí odkaz:
https://doaj.org/article/0ec5a46ee15042fcbb82ec251c12590d
Publikováno v:
IEEE Access, Vol 12, Pp 31168-31181 (2024)
Automated weeding equipment is urgently needed to deal with weeds in farmlands in the context of the rapid development of Intelligent Agriculture. A system for accurately identifying crops and weeds in images is crucial component of automated weeding
Externí odkaz:
https://doaj.org/article/019157bb98684ea6bab3b16c5433d6ba
Autor:
Bolin Fu, Xidong Sun, Yuyang Li, Zhinan Lao, Tengfang Deng, Hongchang He, Weiwei Sun, Guoqing Zhou
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2724-2761 (2023)
Vegetation is crucial for wetland ecosystems. Human activities and climate changes are increasingly threatening wetland ecosystems. Combining satellite images and deep learning for classifying marsh vegetation communities has faced great challenges b
Externí odkaz:
https://doaj.org/article/daf5c5f5d34a49469756186ccb53044d
Autor:
Xiqin Yan, Shoubao Geng, Hao Jiang, Zhongyu Sun, Nan Wang, Shijie Zhang, Long Yang, Meili Wen
Publikováno v:
Land, Vol 13, Iss 5, p 613 (2024)
In the granite regions of southern China, benggang poses a substantial threat to the ecological environment due to significant soil erosion. This phenomenon also imposes constraints on economic development, necessitating substantial investments in re
Externí odkaz:
https://doaj.org/article/156d8a873f5448b8b1992bf147026b94
Publikováno v:
Sci, Vol 6, Iss 1, p 5 (2024)
The environmental physiognomy of an area can significantly diminish its aesthetic appeal, rendering it susceptible to visual pollution, the unbeaten scourge of modern urbanization. In this study, we propose using a deep learning network and a robotic
Externí odkaz:
https://doaj.org/article/8a84d7ff137f4f6da1b439d924ae2b72
Autor:
Pendotagaya, Srinivas
This research delves into the application of semantic segmentation in precision agriculture, specifically targeting the automated identification and classification of various irrigation system types within agricultural landscapes using high-resolutio
Externí odkaz:
https://digital.library.unt.edu/ark:/67531/metadc2356131/
Akademický článek
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Akademický článek
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Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4697 (2023)
In the era of big data, making full use of remote sensing images to automatically extract surface water bodies (WBs) in complex environments is extremely challenging. Due to the weak capability of existing algorithms in extracting small WBs and WB ed
Externí odkaz:
https://doaj.org/article/b4f44413674945358d3edd1c70e474ab