1 Y. Li, "Toward sustainability: Trade-offbetween data quality and quantity in crop pest recognition" 12 : 811241-, 2021
2 Y. Zhao, "Stereoscopic video quality assessment in the context of internet of things" 10 : 2021
3 Y. Li, "Semi-supervised few-shot learning approach for plant diseases recognition" 17 (17): 1-10, 2021
4 Y. Yang, "Radar target recognition based on few-shot learning" 27 : 1-11, 2021
5 J. Yang, "Noreference quality assessment for screen content images using visual edge model and AdaBoosting neural network" 30 : 6801-6814, 2021
6 J. Yang, "No-reference quality evaluation of stereoscopic video based on spatio-temporal texture" 22 (22): 2635-2644, 2019
7 Y. Li, "Meta-learning baselines and database for few-shot classification in agriculture" 182 : 106055-, 2021
8 K. Sim, "MaD-DLS: mean and deviation of deep and local similarity for image quality assessment" 22 : 2020
9 J. Yang, "MSTA-Net: Forgery detection by generating manipulation trace based on multi-scale self-texture attention" 31 : 2021
10 Nwamaka U. Okafor ; Yahia Alghorani ; Declan T. Delaney, "Improving Data Quality of Low-cost IoT Sensors in Environmental Monitoring Networks Using Data Fusion and Machine Learning Approach" 한국통신학회 6 (6): 220-228, 2020
1 Y. Li, "Toward sustainability: Trade-offbetween data quality and quantity in crop pest recognition" 12 : 811241-, 2021
2 Y. Zhao, "Stereoscopic video quality assessment in the context of internet of things" 10 : 2021
3 Y. Li, "Semi-supervised few-shot learning approach for plant diseases recognition" 17 (17): 1-10, 2021
4 Y. Yang, "Radar target recognition based on few-shot learning" 27 : 1-11, 2021
5 J. Yang, "Noreference quality assessment for screen content images using visual edge model and AdaBoosting neural network" 30 : 6801-6814, 2021
6 J. Yang, "No-reference quality evaluation of stereoscopic video based on spatio-temporal texture" 22 (22): 2635-2644, 2019
7 Y. Li, "Meta-learning baselines and database for few-shot classification in agriculture" 182 : 106055-, 2021
8 K. Sim, "MaD-DLS: mean and deviation of deep and local similarity for image quality assessment" 22 : 2020
9 J. Yang, "MSTA-Net: Forgery detection by generating manipulation trace based on multi-scale self-texture attention" 31 : 2021
10 Nwamaka U. Okafor ; Yahia Alghorani ; Declan T. Delaney, "Improving Data Quality of Low-cost IoT Sensors in Environmental Monitoring Networks Using Data Fusion and Machine Learning Approach" 한국통신학회 6 (6): 220-228, 2020
11 Y. Wang, "Generalizing from a few examples:A survey on few-shot learning" 53 (53): 1-34, 2020
12 J. Ma, "Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients" 2 : 233-244, 2021
13 X. Chao, "Few-shot imbalanced classification based on data augmentation" 27 : 1-9, 2021
14 Y. Li, "Few-shot cotton pest recognition and terminal realization" 169 : 105240-, 2020
15 L. Fu, "Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model" 22 (22): 754-776, 2021
16 Brainvendra Widi Dionova ; M.N. Mohammed ; S. Al-Zubaidi ; Eddy Yusuf, "Environment indoor air quality assessment using fuzzy inference system" 한국통신학회 6 (6): 185-194, 2020
17 Y. Li, "Entropy-based redundancy analysis and information screening" 7 : 2021
18 Y. Li, "Do we really need deep CNN for plant diseases identification?" 178 : 105803-, 2020
19 Y. Li, "Distance-entropy: An effective indicator for selecting informative data" 1 : 818895-, 2022
20 K. Sim, "Blind stereoscopic image quality evaluator based on binocular semantic and quality channels" 23 : 2021
21 Y. Li, "ANN-based continual classification in agriculture" 10 (10): 178-, 2020