Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jiangjian Xie"'
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110826- (2023)
In the wild, bird vocalizations of the same species across different populations may be different (e.g., so called dialect). Besides, the number of species is unknown in advance. These two facts make the task of bird species recognition based on voca
Externí odkaz:
https://doaj.org/article/28e6e61f449d4c968352041fca141da8
Publikováno v:
IEEE Access, Vol 8, Pp 41062-41070 (2020)
As the population and the distribution of Crested Ibis (Nipponia nippon) become larger, it is necessary to propose a highly efficient census method to estimate the population size of the Crested Ibis. Passive acoustic monitoring (PAM) has a very good
Externí odkaz:
https://doaj.org/article/3e84732328714f8a8ac01c1124bb3d67
Publikováno v:
Animals, Vol 13, Iss 5, p 838 (2023)
Recognizing wildlife based on camera trap images is challenging due to the complexity of the wild environment. Deep learning is an optional approach to solve this problem. However, the backgrounds of images captured from the same infrared camera trap
Externí odkaz:
https://doaj.org/article/4abc273fc5954607a91a76fa12348c00
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4378 (2022)
Live fuel moisture content (LFMC) is an important index used to evaluate the wildfire risk and fire spread rate. In order to further improve the retrieval accuracy, two ensemble models combining deep learning models were proposed. One is a stacking e
Externí odkaz:
https://doaj.org/article/f0a59860eba647d797fc68f044fbda61
Publikováno v:
Entropy, Vol 23, Iss 11, p 1507 (2021)
Deep convolutional neural networks (DCNNs) have achieved breakthrough performance on bird species identification using a spectrogram of bird vocalization. Aiming at the imbalance of the bird vocalization dataset, a single feature identification model
Externí odkaz:
https://doaj.org/article/2ca38a7e0955475892901a44421f3ddc
Publikováno v:
Applied Sciences, Vol 9, Iss 15, p 3153 (2019)
Currently, wireless acoustic sensor networks (WASN) are commonly used for wild bird monitoring. To better realize the automatic identification of birds during monitoring, the enhancement of bird audio is essential in nature. Currently, distributed be
Externí odkaz:
https://doaj.org/article/e40bc1ca22a141b799554e12fa573224
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2794 (2019)
Infrared camera trapping, which helps capture large volumes of wildlife images, is a widely-used, non-intrusive monitoring method in wildlife surveillance. This method can greatly reduce the workload of zoologists through automatic image identificati
Externí odkaz:
https://doaj.org/article/9513fe7481d847e6bb1ae51b06550fb4
Autor:
Song, Meishu, Yang, Zijiang, Triantafyllopoulos, Andreas, Jing, Xin, Karas, Vincent, Jiangjian, Xie, Zhang, Zixing, Yoshiharu, Yamamoto, Schuller, Bjoern W.
We propose a novel Dynamic Restrained Uncertainty Weighting Loss to experimentally handle the problem of balancing the contributions of multiple tasks on the ICML ExVo 2022 Challenge. The multitask aims to recognize expressed emotions and demographic
Externí odkaz:
http://arxiv.org/abs/2206.11049
Patch-U-Net: tree species classification method based on U-Net with class-balanced jigsaw resampling
Publikováno v:
International Journal of Remote Sensing. 43:532-548
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f88c8ab4194092edd2e0a3d39f95809
https://doi.org/10.1080/01431161.2021.2019850
https://doi.org/10.1080/01431161.2021.2019850
Publikováno v:
Ecological Informatics. 75:102089
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884be17c245c57ecc78fb285cbf0adff
https://doi.org/10.1016/j.ecoinf.2023.102089
https://doi.org/10.1016/j.ecoinf.2023.102089