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NTIS 바로가기한국습지학회지 = Journal of wetlands research, v.25 no.4, 2023년, pp.267 - 273
김준오 (국립한밭대학교 건설환경공학과) , 백지원 (주식회사 유앤유) , 김종락 (주식회사 유앤유) , 박정수 (국립한밭대학교 건설환경공학과)
Algae are an important component of the ecosystem. However, the excessive growth of cyanobacteria has various harmful effects on river environments, and diatoms affect the management of water supply processes. Algal monitoring is essential for sustainable and efficient algae management. In this stud...
Chandana, R. K., and Ramachandra, A. C. (2022). Real?time object detection system with YOLO and CNN?models: A review. arXiv preprint arXiv:2208.00773.?
Chapman, R. L. (2013). Algae: the world's most?important "plants"-an introduction. Mitigation and?Adaptation Strategies for Global Change, 18, 5-12.?
Diwan, T., Anirudh, G., and Tembhurne, J. V. (2023).?Object detection using YOLO: Challenges,?architectural successors, datasets and applications.?multimedia Tools and Applications, 82(6),?9243-9275.?
Girshick, R., Donahue, J., Darrell, T., and Malik, J.?(2014). Rich feature hierarchies for accurate object?detection and semantic segmentation. In Proceedings?of the IEEE conference on computer vision and?pattern recognition (pp. 580-587).?
Grattan, L. M., Holobaugh, S., and Morris Jr, J. G.?(2016). Harmful algal blooms and public health.?Harmful algae, 57, 2-8.?
Griffith, A. W., and Gobler, C. J. (2020). Harmful algal?blooms: A climate change co-stressor in marine and?freshwater ecosystems. Harmful Algae, 91, 101590.?
Hussain, M. (2023). YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward?Digital Manufacturing and Industrial Defect?Detection. Machines, 11(7), 677.?
Jiang, P., Ergu, D., Liu, F., Cai, Y., and Ma, B. (2022).?A Review of Yolo algorithm developments. Procedia?Computer Science, 199, 1066-1073.?
Krizhevsky, A., Sutskever, I., and Hinton, G. E. (2012).?Imagenet classification with deep convolutional?neural networks. Advances in neural information?processing systems, 25.?
Medina, E., Petraglia, M. R., Gomes, J. G. R., and?Petraglia, A. (2017). Comparison of CNN and MLP?classifiers for algae detection in underwater?pipelines. In 2017 seventh international conference?on image processing theory, tools and applications?(IPTA) (pp. 1-6). IEEE.?
OpenCV. (2010). https://opencv.org/ accessed 5 June?2023?
Paerl, H. W., and Huisman, J. (2008). Blooms like it?hot. Science, 320(5872), 57-58.?
Park, J., Baek, J., Kim, J., You, K., and Kim, K. (2022).?Deep Learning-Based Algal Detection Model?Development Considering Field Application. Water,?14(8), 1275.?
Qian, P., Zhao, Z., Liu, H., Wang, Y., Peng, Y., Hu, S.,?... and Zeng, Z. (2020). Multi-target deep learning?for algal detection and classification. In 2020 42nd?annual international conference of the IEEE?engineering in medicine & biology society (EMBC)?(pp. 1954-1957). IEEE.?
Ren, S., He, K., Girshick, R., and Sun, J. (2015). Faster?r-cnn: Towards real-time object detection with?region proposal networks. Advances in neural?information processing systems, 28.?
Redmon, J., Divvala, S., Girshick, R., and Farhadi, A.?(2016). You only look once: Unified, real-time?object detection. In Proceedings of the IEEE?conference on computer vision and pattern?recognition (pp. 779-788).?
Redmon, J., and Farhadi, A. (2017). YOLO9000: better,?faster, stronger. In Proceedings of the IEEE?conference on computer vision and pattern?recognition (pp. 7263-7271).?
Redmon, J., and Farhadi, A. (2018). Yolov3: An?incremental improvement. arXiv preprint?arXiv:1804.02767.?
Suh, S., Park, Y., Ko, K., Yang, S., Ahn, J., Shin, J. K.,?and Kim, S. (2021). Weighted mask R-CNN for?improving adjacent boundary segmentation. J. of?Sensors, 2021, 1-8.?
Sultana, F., Sufian, A., and Dutta, P. (2020). A review?of object detection models based on convolutional?neural network. Intelligent computing: image?processing based applications, 1-16.?
Zhiqiang, W., and Jun, L. (2017). A review of object?detection based on convolutional neural network. In?2017 36th Chinese control conference (CCC) (pp.?11104-11109). IEEE.
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