Forecasting bitcoin price fluctuation by twitter sentiment analysis O Sattarov, HS Jeon, R Oh, JD Lee 2020 international conference on information science and communications …, 2020 | 63 | 2020 |
Recommending cryptocurrency trading points with deep reinforcement learning approach O Sattarov, A Muminov, CW Lee, HK Kang, R Oh, J Ahn, HJ Oh, HS Jeon Applied Sciences 10 (4), 1506, 2020 | 57 | 2020 |
Twitter attribute classification with q-learning on bitcoin price prediction S Otabek, J Choi IEEE Access 10, 96136-96148, 2022 | 14 | 2022 |
Reducing GPS error for smart collars based on animal’s behavior A Muminov, O Sattarov, CW Lee, HK Kang, MC Ko, R Oh, J Ahn, HJ Oh, ... Applied Sciences 9 (16), 3408, 2019 | 8 | 2019 |
Enhanced Bitcoin Price Direction Forecasting with DQN M Azamjon, O Sattarov, D Na IEEE Access, 2024 | 3 | 2024 |
Forecasting Bitcoin Volatility through On-Chain and Whale-Alert Tweet Analysis using the Q-Learning Algorithm M Azamjon, O Sattarov, J Cho IEEE Access, 2023 | 2 | 2023 |
Multi-level deep Q-networks for Bitcoin trading strategies S Otabek, J Choi Scientific Reports 14 (1), 771, 2024 | 1 | 2024 |
Virtual Fence Moving Algorithm for Circulated Grazing O Sattarov, A Muminov, HS Jeon, CW Lee, HK Kang, HJ Oh, JD Lee 2019 International Conference on Information Science and Communications …, 2019 | 1 | 2019 |