no code implementations • 16 Jan 2024 • Sina Montazeri, Akram Mirzaeinia, Amir Mirzaeinia
In prior methods, it was observed that the application of Convolutional Neural Networks agent in Deep Reinforcement Learning to financial data resulted in an enhanced reward.
no code implementations • 10 Jan 2024 • Sina Montazeri, Akram Mirzaeinia, Haseebullah Jumakhan, Amir Mirzaeinia
To address this, we designed a CNN agent that concatenates the data from the last ninety days of the daily feature vector to create the CNN input matrix.
no code implementations • 18 Nov 2021 • Yao Sun, Lichao Mou, Yuanyuan Wang, Sina Montazeri, Xiao Xiang Zhu
Building height retrieval from synthetic aperture radar (SAR) imagery is of great importance for urban applications, yet highly challenging owing to the complexity of SAR data.
no code implementations • 17 Jun 2020 • Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, Yuansheng Hua, Yuanyuan Wang, Lichao Mou, Yilei Shi, Feng Xu, Richard Bamler
Deep learning in remote sensing has become an international hype, but it is mostly limited to the evaluation of optical data.