| Current and future applications of statistical machine learning algorithms for agricultural machine vision systems TU Rehman, MS Mahmud, YK Chang, J Jin, J Shin Computers and electronics in agriculture 156, 585-605, 2019 | 399 | 2019 |
| A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves J Shin, YK Chang, B Heung, T Nguyen-Quang, GW Price, A Al-Mallahi Computers and electronics in agriculture 183, 106042, 2021 | 128 | 2021 |
| Optimized 3D bioprinting technology based on machine learning: A review of recent trends and advances J Shin, Y Lee, Z Li, J Hu, SS Park, K Kim Micromachines 13 (3), 363, 2022 | 49 | 2022 |
| Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection J Shin, YK Chang, B Heung, T Nguyen-Quang, GW Price, A Al-Mallahi Biosystems Engineering 194, 49-60, 2020 | 49 | 2020 |
| Trends and prospect of machine vision technology for stresses and diseases detection in precision agriculture J Shin, MS Mahmud, TU Rehman, P Ravichandran, B Heung, YK Chang AgriEngineering 5 (1), 20-39, 2022 | 36 | 2022 |
| Development of antifreezing, printable, adhesive, tough, biocompatible, high-water content hydrogel for versatile applications Z Li, H Kumar, C Guo, J Shin, X He, Q Lu, H Bai, K Kim, J Hu ACS Applied Materials & Interfaces 15 (12), 16034-16045, 2023 | 15 | 2023 |
| Comparison of image texture based supervised learning classifiers for strawberry powdery mildew detection YK Chang, MS Mahmud, J Shin, T Nguyen-Quang, GW Price, B Prithiviraj AgriEngineering 1 (3), 434-452, 2019 | 9 | 2019 |
| Micro/nanotechnology-inspired rapid diagnosis of respiratory infectious diseases S Homayoonnia, Y Lee, D Andalib, MS Rahman, J Shin, K Kim, S Kim Biomedical Engineering Letters, 1-31, 2021 | 8 | 2021 |
| Optimizing parameters for image processing techniques using machine learning to detect powdery mildew in strawberry leaves J Shin, YK Chang, TN Quang, B Heung, P Ravichandran 2019 ASABE Annual International Meeting, 1, 2019 | 7 | 2019 |
| 3D bioprinting of human iPSC-Derived kidney organoids using a low-cost, high-throughput customizable 3D bioprinting system J Shin, H Chung, H Kumar, K Meadows, S Park, J Chun, K Kim Bioprinting 38, e00337, 2024 | 4 | 2024 |
| Visible light laser direct-writing of high-resolution, biocompatible, super-multifunctional and tough hydrogels without photoinitiators in 30 s Z Li, X He, H Kumar, J Shin, C Guo, B Abraham, A Shayesteh, M Kibria, ... Biomaterials Advances 147, 213318, 2023 | 2 | 2023 |
| Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture. AgriEngineering 2023, 5, 20–39 J Shin, MS Mahmud, TU Rehman, P Ravichandran, B Heung, YK Chang | 1 | 2022 |
| SUPERVISED MACHINE/DEEP LEARNING TECHNIQUES–A CASE STUDY OF POWDERY MILDEW DETECTION ON THE STRAWBERRY LEAF J Shin | 1 | 2020 |
| Machine Learning Driven Optimization for High Precision Cellular Droplet Bioprinting J Shin, M Kang, K Hyun, Z Li, H Kumar, K Kim, SS Park, K Kim bioRxiv, https://doi.org/10.1101/2024.09.04.61113, 2024 | | 2024 |
| Comparison of Image Processing Techniques with Supervised Machine Learning vs. Deep Learning Based on Texture Analysis to Detect Powdery Mildew on Strawberry Leaves J Shin, YK Chang, B Heung Handbook of Texture Analysis, 154-177, 2024 | | 2024 |
| Nanoparticle-based nanocomposite coatings with post-processing for enhanced antimicrobial capacity of polymeric film J Shin, R Jeong, H Kumar, C Park, SS Park, K Kim Biotechnology and Bioengineering, 2024 | | 2024 |
