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pro vyhledávání: '"Kalhor A"'
Autor:
Ghasemi, Seraj, Hosseini, Hamed, Koosheshi, MohammadHossein, Masouleh, Mehdi Tale, Kalhor, Ahmad
With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focuses on scene understanding to detect pick and place tasks given initial
Externí odkaz:
http://arxiv.org/abs/2409.17720
Autor:
Shahsafdari, Zeinab, Kalhor, Ahmad
Predicting the trend of Bitcoin, a highly volatile cryptocurrency, remains a challenging task. Accurate forecasting holds immense potential for investors and market participants dealing with High Frequency Trading systems. The purpose of this study i
Externí odkaz:
http://arxiv.org/abs/2406.17083
Robotic grasp should be carried out in a real-time manner by proper accuracy. Perception is the first and significant step in this procedure. This paper proposes an improved pipeline model trying to detect grasp as a rectangle representation for diff
Externí odkaz:
http://arxiv.org/abs/2403.05211
Autor:
Choudhury, Vishal, Khandekar, Chinmay, Boddeti, Ashwin K., Jishi, Ali, Erkovan, Mustafa, Sentz, Tyler, Kalhor, Farid, Cardoso, Susana, Supradeepa, V. R., Jacob, Zubin
Characterizing the optical response of magneto-optic and magnetic materials usually relies on semi-classical models (e.g. Lorentz oscillator model) involving few parameters or models based on a detailed quantum mechanical description of the underlyin
Externí odkaz:
http://arxiv.org/abs/2402.11646
Autor:
Kalhor, Ghazal, Bahrak, Behnam
Publikováno v:
EPJ Data Science 13.1 (2024): 64
Studying acquisitions offers invaluable insights into startup trends, aiding informed investment decisions for businesses. However, the scarcity of studies in this domain prompts our focus on shedding light in this area. Employing Crunchbase data, ou
Externí odkaz:
http://arxiv.org/abs/2402.03910
Autor:
Koosheshi, MohammadHossein, Hosseini, Hamed, Masouleh, Mehdi Tale, Kalhor, Ahmad, Yazdi, Mohammad Reza Hairi
Humans, this species expert in grasp detection, can grasp objects by taking into account hand-object positioning information. This work proposes a method to enable a robot manipulator to learn the same, grasping objects in the most optimal way accord
Externí odkaz:
http://arxiv.org/abs/2402.01303
Publikováno v:
International Journal of Human Rights in Healthcare, 2024, Vol. 17, Issue 5, pp. 702-713.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJHRH-06-2023-0052
The minimal supersymmetric standard model (MSSM) particles can generate loop-level radiative corrections that contribute to the electric dipole moment (EDM) of an electron. The upper bound on the EDM can therefore be used for delineating the MSSM par
Externí odkaz:
http://arxiv.org/abs/2312.15884
Autor:
Kalhor, Borna, Das, Sanchari
Virtual assistants (VAs) have seen increased use in recent years due to their ease of use for daily tasks. Despite their growing prevalence, their security and privacy implications are still not well understood. To address this gap, we conducted a st
Externí odkaz:
http://arxiv.org/abs/2312.14633
Autor:
Kalhor, Ghazal, Bahrak, Behnam
Nowadays, computer science (CS) has emerged as a dominant force in numerous research areas both within and beyond its own discipline. However, despite its significant impact on scholarly space, only a limited number of studies have been conducted to
Externí odkaz:
http://arxiv.org/abs/2311.09348