Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mirzaeinia, Amir"'
Building on our prior explorations of convolutional neural networks (CNNs) for financial data processing, this paper introduces two significant enhancements to refine our CNN model's predictive performance and robustness for financial tabular data. F
Externí odkaz:
http://arxiv.org/abs/2408.11859
Recent deep reinforcement learning (DRL) methods in finance show promising outcomes. However, there is limited research examining the behavior of these DRL algorithms. This paper aims to investigate their tendencies towards holding or trading financi
Externí odkaz:
http://arxiv.org/abs/2407.09557
In this effort we fine tuned different models based on BERT to detect the gender polarity of twitter accounts. We specially focused on analyzing the effect of using emojis and emoticons in performance of our model in classifying task. We were able to
Externí odkaz:
http://arxiv.org/abs/2406.09573
Autor:
Tezerjani, Mohammad Dehghani, Carrillo, Dominic, Qu, Deyuan, Dhakal, Sudip, Mirzaeinia, Amir, Yang, Qing
Recent advancements in self-driving car technologies have enabled them to navigate autonomously through various environments. However, one of the critical challenges in autonomous vehicle operation is trajectory planning, especially in dynamic enviro
Externí odkaz:
http://arxiv.org/abs/2406.02916
The proliferation of vulnerable Internet-of-Things (IoT) devices has enabled large-scale cyberattacks. Solutions like Hestia and HomeSnitch have failed to comprehensively address IoT security needs. This research evaluates if Wireguard, an emerging V
Externí odkaz:
http://arxiv.org/abs/2402.02093
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. In this study, a specific permutation was applied to the feature vector, th
Externí odkaz:
http://arxiv.org/abs/2402.03338
The published MLP-based DRL in finance has difficulties in learning the dynamics of the environment when the action scale increases. If the buying and selling increase to one thousand shares, the MLP agent will not be able to effectively adapt to the
Externí odkaz:
http://arxiv.org/abs/2401.06179
Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV -Mounted Mobile Base Stations placement is a challenging problem to ac
Externí odkaz:
http://arxiv.org/abs/2010.01236
V-shaped and echelon formations help migratory birds to consume less energy for migration. As the case study, the formation flight of the Northern Bald Ibises is considered to investigate different effects on their flight efficiency. The effects of t
Externí odkaz:
http://arxiv.org/abs/2005.08032
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