Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Endai Huang"'
1
Akademický článek
Automatic Detection of Feral Pigeons in Urban Environments Using Deep Learning
Autor: Zhaojin Guo, Zheng He, Li Lyu, Axiu Mao, Endai Huang, Kai Liu
Publikováno v: Animals, Vol 14, Iss 1, p 159 (2024)
The overpopulation of feral pigeons in Hong Kong has significantly disrupted the urban ecosystem, highlighting the urgent need for effective strategies to control their population. In general, control measures should be implemented and re-evaluated p
Externí odkaz: https://doaj.org/article/d6f640efdc5c474db0b52cff55d7e689
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2
Akademický článek
FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors
Autor: Axiu Mao, Endai Huang, Haiming Gan, Kai Liu
Publikováno v: Animals, Vol 12, Iss 16, p 2142 (2022)
Deep learning dominates automated animal activity recognition (AAR) tasks due to high performance on large-scale datasets. However, constructing centralised data across diverse farms raises data privacy issues. Federated learning (FL) provides a dist
Externí odkaz: https://doaj.org/article/5fe8a8d9b7694ee293ff293634a3d76c
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3
Akademický článek
Cross-Modality Interaction Network for Equine Activity Recognition Using Imbalanced Multi-Modal Data
Autor: Axiu Mao, Endai Huang, Haiming Gan, Rebecca S. V. Parkes, Weitao Xu, Kai Liu
Publikováno v: Sensors, Vol 21, Iss 17, p 5818 (2021)
With the recent advances in deep learning, wearable sensors have increasingly been used in automated animal activity recognition. However, there are two major challenges in improving recognition performance—multi-modal feature fusion and imbalanced
Externí odkaz: https://doaj.org/article/b3c2de0aa15a4503ba9f41eae98c748d
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4
Occlusion-Resistant instance segmentation of piglets in farrowing pens using center clustering network
Autor: Endai Huang, Axiu Mao, Junhui Hou, Yongjian Wu, Weitao Xu, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu
Publikováno v: Computers and Electronics in Agriculture. 210:107950
Computer vision enables the development of new approaches to monitor the behavior, health, and welfare of animals. Instance segmentation is a high-precision method in computer vision for detecting individual animals of interest. This method can be us
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91ee8f285816d84237e1c2ef20dc180a
https://doi.org/10.1016/j.compag.2023.107950
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8
Cross-Modality Interaction Network for Equine Activity Recognition Using Imbalanced Multi-Modal Data
Autor: Endai Huang, Weitao Xu, Axiu Mao, Kai Liu, Haiming Gan, Rebecca S. V. Parkes
Publikováno v: Sensors, Vol 21, Iss 5818, p 5818 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 17
With the recent advances in deep learning, wearable sensors have increasingly been used in automated animal activity recognition. However, there are two major challenges in improving recognition performance—multi-modal feature fusion and imbalanced
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f49373dabb191c0a41d5be284a675a
https://www.mdpi.com/1424-8220/21/17/5818
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10
Center clustering network improves piglet counting under occlusion
Autor: Thomas D. Parsons, Yueju Xue, Maria Camila Ceballos, Kai Liu, Haiming Gan, Axiu Mao, Endai Huang
Publikováno v: Computers and Electronics in Agriculture. 189:106417
Counting nursing piglets is an essential task on commercial sow farms and provides a core parameter for evaluating sow reproductive performance. As a current management practice, piglets in farrowing pens are usually manually counted by caretakers se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::658015890646be134d79280a8e8b19d0
https://doi.org/10.1016/j.compag.2021.106417
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