| A water quality prediction method based on the deep LSTM network considering correlation in smart mariculture Z Hu, Y Zhang, Y Zhao, M Xie, J Zhong, Z Tu, J Liu Sensors 19 (6), 1420, 2019 | 150 | 2019 |
| Accurate prediction scheme of water quality in smart mariculture with deep Bi-S-SRU learning network J Liu, C Yu, Z Hu, Y Zhao, Y Bai, M Xie, J Luo Ieee Access 8, 24784-24798, 2020 | 94 | 2020 |
| A method overview in smart aquaculture Z Hu, R Li, X Xia, C Yu, X Fan, Y Zhao Environmental Monitoring and Assessment 192, 1-25, 2020 | 84 | 2020 |
| Segmentation and measurement scheme for fish morphological features based on Mask R-CNN C Yu, X Fan, Z Hu, X Xia, Y Zhao, R Li, Y Bai Information Processing in Agriculture 7 (4), 523-534, 2020 | 66 | 2020 |
| Infrared small target detection based on multiscale local contrast learning networks C Yu, Y Liu, S Wu, Z Hu, X Xia, D Lan, X Liu Infrared Physics & Technology 123, 104107, 2022 | 40 | 2022 |
| The anonymization protection algorithm based on fuzzy clustering for the ego of data in the internet of things M Xie, M Huang, Y Bai, Z Hu Journal of Electrical and Computer Engineering 2017 (1), 2970673, 2017 | 25 | 2017 |
| Constrained-focal-loss based deep learning for segmentation of spores Y Zhao, F Lin, S Liu, Z Hu, H Li, Y Bai IEEE Access 7, 165029-165038, 2019 | 24 | 2019 |
| Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores Y Zhao, S Liu, Z Hu, Y Bai, C Shen, X Shi Computers and electronics in agriculture 169, 105230, 2020 | 23 | 2020 |
| Automatic and accurate prediction of key water quality parameters based on SRU deep learning in mariculture J Liu, C Yu, Z Hu, Y Zhao, X Xia, Z Tu, R Li 2018 IEEE International conference on advanced manufacturing (ICAM), 437-440, 2018 | 22 | 2018 |
| A long-term water quality prediction method based on the temporal convolutional network in smart mariculture Y Fu, Z Hu, Y Zhao, M Huang Water 13 (20), 2907, 2021 | 21 | 2021 |
| Pay attention to local contrast learning networks for infrared small target detection C Yu, Y Liu, S Wu, X Xia, Z Hu, D Lan, X Liu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 19 | 2022 |
| Segmentation and density statistics of mariculture cages from remote sensing images using mask R-CNN C Yu, Z Hu, R Li, X Xia, Y Zhao, X Fan, Y Bai Information Processing in Agriculture 9 (3), 417-430, 2022 | 17 | 2022 |
| An active and passive reputation method for secure wideband spectrum sensing based on blockchain X Xie, Z Hu, M Chen, Y Zhao, Y Bai Electronics 10 (11), 1346, 2021 | 16 | 2021 |
| Ship detection and recognition based on improved YOLOv7 W Wu, X Li, Z Hu, X Liu Comput. Mater. Contin 76 (1), 489-498, 2023 | 15 | 2023 |
| Group channel pruning and spatial attention distilling for object detection Y Chu, P Li, Y Bai, Z Hu, Y Chen, J Lu Applied Intelligence 52 (14), 16246-16264, 2022 | 15 | 2022 |
| Recognition of pyralidae insects using intelligent monitoring autonomous robot vehicle in natural farm scene B Liu, Z Hu, Y Zhao, Y Bai, Y Wang arXiv preprint arXiv:1903.10827, 2019 | 15 | 2019 |
| Intelligent measurement of morphological characteristics of fish using improved U-Net C Yu, Z Hu, B Han, P Wang, Y Zhao, H Wu Electronics 10 (12), 1426, 2021 | 14 | 2021 |
| Fish eye recognition based on weighted constraint AdaBoost and pupil diameter automatic measurement with improved Hough circle transform Z Hu, Y Zhang, Y Zhao, L Cao, Y Bai, M Huang Transactions of the Chinese Society of Agricultural Engineering 33 (23), 226-232, 2017 | 14 | 2017 |
| Segmentation of fruit with diseases in natural scenes based on logarithmic similarity constraint Otsu Y Zhao, Z Hu Transactions of the Chinese Society for Agriculture Machinery 46 (11), 9-15, 2015 | 14* | 2015 |
| Study on fish caudal peduncle measuring method based on image processing and linear fitting ZH Hu, L Cao, YR Zhang, YC Zhao Fishery Modernization 44 (2), 43-49, 2017 | 13 | 2017 |
Yong BaiHainan UniversityVerified email at hainanu.edu.cn