Combining binary particle swarm optimization with support vector machine for enhancing rice varieties classification accuracy TTK Nga, TV Pham, DM Tam, I Koo, VY Mariano, T Do-Hong IEEE Access 9, 66062-66078, 2021 | 14 | 2021 |
Enhancing the classification accuracy of rice varieties by using convolutional neural networks N Tran-Thi-Kim, T Pham-Viet, I Koo, V Mariano, T Do-Hong International Journal of Electrical and Electronic Engineering …, 2023 | 11 | 2023 |
Extending color properties for texture descriptor based on local ternary patterns to classify rice varieties TTK Nga, T Pham-Viet, DM Nhat, DM Tam, I Koo, VY Mariano, T Do-Hong EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 9 …, 2022 | 4 | 2022 |
Information security in intelligent reflecting surface-aided two-way network PV Tuan, PN Son, TT Duy, TTK Nga, I Koo 2022 IEEE Ninth International Conference on Communications and Electronics …, 2022 | 1 | 2022 |
Applying Texture Feature Based on Local Ternary Pattern for Binary Particle Swarm Optimization plus Support Vector Machine-based Classification of Rice Varieties TTK Nga, T Pham-Viet, DM Nhat, VY Mariano, T Do-Hong 2022 IEEE Ninth International Conference on Communications and Electronics …, 2022 | | 2022 |