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Deep CNN based droplet deposition segmentation for spray distribution assessment
Chen, T., Meng, Y., Su, J., Liu, C.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1109/ICAC55051.2022.9911061
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http://aura.abdn.ac.uk/bitstream/2164/20930/1/Chen_etal_ICAAC2022_Deep_CNN_Based_AAM.pdf
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Interpretation and Reporting of Predictive or Diagnostic Machine Learning Research in Trauma & Orthopaedics
Farrow, L., Zhong, M., Anderson, L., Ashcroft, G., Meek, R. M. D.
Bone and Joint Journal, vol. 103B, no. 12, pp. 1754-1758
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https://doi.org/10.1302/0301-620X.103B12.BJJ-2021-0851.R1
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http://aura.abdn.ac.uk/bitstream/2164/19056/1/Farrow_etal_BJJ_Interpretation_And_Reporting_AAM.pdf
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面向变电设备金属锈蚀检测的分层嵌套标注方法 (Hierarchical annotation method for metal corrosion detection of power equipment)
Zhang, B., Cao, Y., Zhang, P., Zhang, Z., He, Y., Zhong, M.
Journal of Southeast University (English Edition), vol. 37, no. 4, pp. 350-355
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https://doi.org/10.3969/j.issn.1003-7985.2021.04.002
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Deep Ensembles for Semantic Segmentation on Road Detection
Uzun, D., Yi, D.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.23919/ICAC50006.2021.9594247
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http://aura.abdn.ac.uk/bitstream/2164/19131/1/Uzun_etal_IEEE_Deep_Ensembles_For_AAM.pdf
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Application of a Brain-Inspired Deep Imitation Learning Algorithm in Autonomous Driving
Ahmedov, H. B., Yi, D., Sui, J.
Software Impacts, vol. 10, 100165
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https://doi.org/10.1016/j.simpa.2021.100165
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http://aura.abdn.ac.uk/bitstream/2164/17668/1/Ahmedov_etal_SI_application_of_a_VOR.pdf
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Segmentation of field grape bunches via an improved pyramid scene parsing network
Chen, S., Song, Y., Su, J., Fang, Y., Shen, L., Mi, Z., Su, B.
International journal of agricultural and biological engineering, vol. 14, no. 6, pp. 185-194
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https://doi.org/10.25165/j.ijabe.20211406.6903
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http://aura.abdn.ac.uk/bitstream/2164/18489/1/Chen_etal_IJABE_segmentation_of_field_VOR.pdf
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Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features
Korhonen, J., Su, Y., You, J., Hicks, S., Midoglu, C.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1145/3474085.3477933
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Probabilistic Faster R-CNN with Stochastic Region Proposing: Towards Object Detection and Recognition in Remote Sensing Imagery
Yi, D., Su, J., Chen, W. H.
Neurocomputing, vol. 459, pp. 290-301
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https://doi.org/10.1016/j.neucom.2021.06.072
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http://aura.abdn.ac.uk/bitstream/2164/18762/1/Yi_etal_NRC_Probabilistic_Faster_R_AAM.pdf
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Ir-UNet: Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery
Zhang, T., Xu, Z., Su, J., Yang, Z., Liu, C., Chen, W., Li, J.
Remote Sensing, vol. 13, no. 19, 3892
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https://doi.org/10.3390/rs13193892
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http://aura.abdn.ac.uk/bitstream/2164/18480/1/Zhang_etal_Ir_UNet_irregular_VOR.pdf
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Optimizing the flight route of UAV using biology migration algorithm
Zhang, Q. Y., He, X. Y., Dong, Y. Q., Jiang, S. Y., Song, H.
Contributions to Journals: Conference Articles
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https://doi.org/10.1088/1742-6596/2025/1/012052
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http://aura.abdn.ac.uk/bitstream/2164/17521/1/Zhang_etal_Optimizing_the_flight_VOR.pdf
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View publication in Scopus