Miss MAO Axiu (毛阿秀)

Research Output

  1. 2024
  2. Published

    Automatic Detection of Feral Pigeons in Urban Environments Using Deep Learning

    Guo, Z., He, Z., Lyu, L., Mao, A., Huang, E. & Liu, K., Jan 2024, In: Animals. 14, 1, 159.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  3. 2023
  4. Published

    A Teacher-to-Student Information Recovery Method Toward Energy-Efficient Animal Activity Recognition at Low Sampling Rates

    Mao, A., Zhu, M., Huang, E., Yao, X. & Liu, K., Oct 2023, In: Computers and Electronics in Agriculture. 213, 108242.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  5. Published

    DeMVpp-YOLO: A lightweight pig behavior detection model for improved pig health management in farrowing pens

    Guo, Z., Lyu, L., He, Z., Mao, A., Huang, E. & Liu, K., Oct 2023, 2023 International Symposium on Animal Environment and Welfare. 4 p.

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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  6. Published

    Deep Learning-based Animal Activity Recognition with Wearable Sensors: Overview, Challenges, and Future Directions

    Mao, A., Huang, E., Wang, X. & Liu, K., Aug 2023, In: Computers and Electronics in Agriculture. 211, 108043.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 4
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  7. Published

    Occlusion-Resistant instance segmentation of piglets in farrowing pens using center clustering network

    Huang, E., Mao, A., Hou, J., Wu, Y., Xu, W., Ceballos, M. C., Parsons, T. D., & 1 othersLiu, K., Jul 2023, In: Computers and Electronics in Agriculture. 210, 107950.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 1
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  8. Published

    A semi-supervised generative adversarial network for amodal instance segmentation of piglets in farrowing pens

    Huang, E., He, Z., Mao, A., Ceballos, M. C., Parsons, T. D. & Liu, K., Jun 2023, In: Computers and Electronics in Agriculture. 209, 107839.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 2
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  9. Published

    Robust animal activity recognition using wearable sensors: A correlation distillation-based information recovery method toward data having low sampling rates

    Mao, A. X., Huang, E. D., Zhu, M. L. & Liu, K., 24 May 2023, The U.S. Precision Livestock Farming 2023: Conference Proceedings of the 2nd U.S. Precision Livestock Farming Conference. ZHAO, Y., BERCKMANS, D., GAN, H., RAMIREZ, B., SIEGFORD, J. & WANG-LI, L. (eds.). The Proceedings Committee of the 2nd U.S. Precision Livestock Farming Conference, p. 416-423

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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  10. Published

    Occlusion-resistant locomotion analysis of piglets using amodal instance segmentation

    Gan, H., Mao, A., Sze, C. N., Huang, E., Ceballos, M. C., Parsons, T. D. & Liu, K., 22 May 2023, The U.S. Precision Livestock Farming 2023: Conference Proceedings of the 2nd U.S. Precision Livestock Farming Conference. ZHAO, Y., BERCKMANS, D., GAN, H., RAMIREZ, B., SIEGFORD, J. & WANG-LI, L. (eds.). The Proceedings Committee of the 2nd U.S. Precision Livestock Farming Conference, p. 78-84

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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  11. 2022
  12. Published

    Uniting farms: Federated learning for sensor-based animal activity recognition

    MAO, A., HUANG, E., GAN, H. & LIU, K., 30 Aug 2022.

    Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (without host publication)peer-review

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  13. Published

    Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation

    Gan, H., Ou, M., Li, C., Wang, X., Guo, J., Mao, A., Ceballos, M. C., & 3 othersParsons, T. D., Liu, K. & Xue, Y., Aug 2022, In: Computers and Electronics in Agriculture. 199, 107162.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 14
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  14. Published

    FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors

    Mao, A., Huang, E., Gan, H. & Liu, K., Aug 2022, In: Animals. 12, 16, 2142.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 7
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  15. Published

    Occlusion-Resistant Spatial Analysis of Pig Distribution Pattern in Farrowing Pens Using Center Clustering Network

    Huang, E., Mao, A., Gan, H. & Liu, K., Aug 2022.

    Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (without host publication)peer-review

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  16. Published

    Automated identification of chicken distress vocalisations using deep learning models

    Mao, A., Giraudet, C. S. E., Liu, K., De Almeida Nolasco, I., Xie, Z., Xie, Z., Gao, Y., & 4 othersTheobald, J., Bhatta, D., Stewart, R. & McElligott, A. G., Jun 2022, In: Journal of the Royal Society Interface. 19, 191, 20210921.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 7
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  17. 2021
  18. Published

    A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data

    Huang, E., Mao, A., Gan, H. & Liu, K., Oct 2021, Animal Environment and Welfare - Proceedings of International Symposium. Ni, J., Wang-Li, L. & Wang, C. (eds.). International Research Center for Animal Environment and Welfare, p. 287-294

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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  19. Published

    Center clustering network improves piglet counting under occlusion

    Huang, E., Mao, A., Gan, H., Ceballos, M. C., Parsons, T. D., Xue, Y. & Liu, K., Oct 2021, In: Computers and Electronics in Agriculture. 189, 106417.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 16
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  20. Published

    Cross-modality Interaction Network for Equine Activity Recognition Using Time-Series Motion Data

    Mao, A., Huang, E., Xu, W. & Liu, K., Oct 2021, Animal Environment and Welfare - Proceedings of International Symposium. Ni, J., Wang-Li, L. & Wang, C. (eds.). International Research Center for Animal Environment and Welfare, p. 269-276

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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  21. Published

    Cross-Modality Interaction Network for Equine Activity Recognition Using Imbalanced Multi-Modal Data

    Mao, A., Huang, E., Gan, H., Parkes, R. S. V., Xu, W. & Liu, K., Sept 2021, In: Sensors. 21, 17, 5818.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 11
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  22. Published

    Capacity Limit of Deep Learning Methods on Scenarios of Pigs in Farrowing Pen under Occlusion

    Huang, E., Mao, A., Ceballos, M. C., Parsons, T. D. & Liu, K., Jul 2021, 2021 ASABE Annual International Virtual Meeting. American Society of Agricultural and Biological Engineers, Vol. 3. p. 1917-1924 (American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

    Scopus citations: 4
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  23. 2020
  24. Presented

    Deep learning-based assessment of laying-hen feather conditions using color and thermal images

    Huang, E., Mao, A., Liu, K. & Xue, Y., 20 Oct 2020, (Presented).

    Research output: Conference Papers (RGC: 31A, 31B, 32, 33)33_Other conference paperpeer-review

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