Zobrazeno 1 - 10
of 2 190
pro vyhledávání: '"Species Classification"'
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 645-655 (2024)
Despite comprising only one per cent of global forests, mangroves provide vital ecological and economic benefits to their ecosystems. Due to its decreasing extent over the past decade, there is a rise in research innovations supporting mangrove conse
Externí odkaz:
https://doaj.org/article/b43e53ba699b445dba647617295adfe8
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Studying the composition rules and evolution mechanisms of genome sequences are core issues in the post-genomic era, and k-mer spectrum analysis of genome sequences is an effective means to solve this problem. Result We divided to
Externí odkaz:
https://doaj.org/article/194585d916da489caf751f93edede85b
Autor:
Ze-Lin Yu, Rui-Bai Wang
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
BackgroundStenotrophomonas strains are important opportunistic pathogens with great potential applications in industry and agriculture. Their significant genetic and phenotypic diversity has led to several changes in their taxonomic localization and
Externí odkaz:
https://doaj.org/article/0d017d5f5c974803b9b8c4436594c0af
Autor:
Fréderique Boeykens, Marie Abitbol, Heidi Anderson, Iris Casselman, Caroline Dufaure de Citres, Jessica J. Hayward, Jens Häggström, Mark D. Kittleson, Elvio Lepri, Ingrid Ljungvall, Maria Longeri, Leslie A. Lyons, Åsa Ohlsson, Luc Peelman, Pascale Smets, Tommaso Vezzosi, Frank G. van Steenbeek, Bart J.G. Broeckx
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Assessing the pathogenicity of a disease-associated genetic variant in animals accurately is vital, both on a population and individual scale. At the population level, breeding decisions based on invalid DNA tests can lead to the incorrect inclusion
Externí odkaz:
https://doaj.org/article/b7062e0d95804309901cbbee0b945201
Autor:
Pranajit Kumar Das, Md. Abu Kawsar, Puspendu Biswas Paul, Md. Abdullah Al Mamun Hridoy, Md. Sanowar Hossain, Sabyasachi Niloy
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111132- (2024)
There are about 33,000 different species of fish and they are visually identified using variety of traits, i.e., size and shape of body, head's size and shape, skin pattern, fin pattern, mouth pattern, scale pattern, and eye pattern etc. In tradition
Externí odkaz:
https://doaj.org/article/d41210f7ca514b178d96d0a44be17e09
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102874- (2024)
The classification of tree species in urban contexts is pivotal in assessing ecosystem services and fostering sustainable urban development. This paper explores using graph neural networks (GNNs) on graph structure data derived from quantitative stru
Externí odkaz:
https://doaj.org/article/2e0b01e2bff24431b93ae3ccae3d523f
Autor:
Bolin Fu, Hongyuan Kuang, Yan Wu, Tengfang Deng, Weiwei Sun, Xiangjin Shen, Ertao Gao, Hongchang He, Linhang Jiang
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTMangroves are one of the important components of Earth's carbon sinks. The current problems of base-model composition strategy of ensemble learning and image features combination are still major challenges in mangrove species classification.
Externí odkaz:
https://doaj.org/article/1418ff8a30874bad9acb86dba6cf4c3c
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTClassification of individual tree species (ITS) is critical for fine-scale forest surveys. However, it is difficult to obtain the complete and high-precision data needed for ITS classification in large areas. Lower spatial resolution time-ser
Externí odkaz:
https://doaj.org/article/a98c28bd8dfc43588f9642126afc6198
Autor:
Mengni Fu, Chi Lu, Yingwu Mao, Xiaoli Zhang, Yong Wu, Hongbin Luo, Zhi Liu, Wenfang Li, Guanglong Ou
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTAddressing accuracy and computational complexity challenges in hyperspectral image classification for small sample and multi-species scenarios, we developed DSC-DC, a lightweight convolutional neural network. This model is based on Depthwise
Externí odkaz:
https://doaj.org/article/7a17dce18f8b4685980832ce40ba340e
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Accurately identifying tree species is crucial in digital forestry. Several airborne LiDAR-based classification frameworks have been proposed to facilitate work in this area, and they have achieved impressive results. These models range from the clas
Externí odkaz:
https://doaj.org/article/3a6df850d6f34dfc97db4f44dae9ca77