Zobrazeno 1 - 10
of 8 720
pro vyhledávání: '"Sobhani SO"'
Publikováno v:
2024 IEEE Region 10 Symposium
Text compression shrinks textual data while keeping crucial information, eradicating constraints on storage, bandwidth, and computational efficacy. The integration of lossless compression techniques with transformer-based text decompression has recei
Externí odkaz:
http://arxiv.org/abs/2412.15250
Autor:
Saha, Aniruddha, Sobhani, Sadaf
The dynamics of capillary rise under different geometric and fluid conditions have the common signatures of rapid rise followed by an equilibrium state that describe the underlying competing forces. We present a new interpretation of capillary dynami
Externí odkaz:
http://arxiv.org/abs/2411.15440
Autor:
Schreck, John, Sha, Yingkai, Chapman, William, Kimpara, Dhamma, Berner, Judith, McGinnis, Seth, Kazadi, Arnold, Sobhani, Negin, Kirk, Ben, Gagne II, David John
Recent advancements in artificial intelligence (AI) for numerical weather prediction (NWP) have significantly transformed atmospheric modeling. AI NWP models outperform traditional physics-based systems, such as the Integrated Forecast System (IFS),
Externí odkaz:
http://arxiv.org/abs/2411.07814
Probabilistic topic models are a powerful tool for extracting latent themes from large text datasets. In many text datasets, we also observe per-document covariates (e.g., source, style, political affiliation) that act as environments that modulate a
Externí odkaz:
http://arxiv.org/abs/2410.24126
This paper presents a hybrid quantum-classical approach to prime factorization. The proposed algorithm is based on the Variational Quantum Eigensolver (VQE), which employs a classical optimizer to find the ground state of a given Hamiltonian. A numer
Externí odkaz:
http://arxiv.org/abs/2410.01935
Autor:
Webb, Nicola, Milivojevic, Sanja, Sobhani, Mehdi, Madin, Zachary R., Ward, James C., Yusuf, Sagir, Baber, Chris, Hunt, Edmund R.
For humans and robots to form an effective human-robot team (HRT) there must be sufficient trust between team members throughout a mission. We analyze data from an HRT experiment focused on trust dynamics in teams of one human and two robots, where t
Externí odkaz:
http://arxiv.org/abs/2409.20218
Autor:
Milivojevic, Sanja, Sobhani, Mehdi, Webb, Nicola, Madin, Zachary, Ward, James, Yusuf, Sagir, Baber, Chris, Hunt, Edmund R.
Publikováno v:
TAS 2024: Proceedings of the Second International Symposium on Trustworthy Autonomous Systems
Integrating robots into teams of humans is anticipated to bring significant capability improvements for tasks such as searching potentially hazardous buildings. Trust between humans and robots is recognized as a key enabler for human-robot teaming (H
Externí odkaz:
http://arxiv.org/abs/2408.09531
The second generation of Robotic Operating System, ROS 2, has gained much attention for its potential to be used for safety-critical robotic applications. The need to provide a solid foundation for timing correctness and scheduling mechanisms is ther
Externí odkaz:
http://arxiv.org/abs/2408.08440
Recently, capacitive micromachined ultrasound transducers (CMUTs) with long rectangular membranes have demonstrated performance advantages over conventional piezoelectric transducers; however, modeling these CMUT geometries has been limited to comput
Externí odkaz:
http://arxiv.org/abs/2407.00265
Autor:
Parvaresh, Farzad, Sobhani, Reza, Abdollahi, Alireza, Bagherian, Javad, Jafari, Fatemeh, Khatami, Maryam
In order to overcome the challenges caused by flash memories and also to protect against errors related to reading information stored in DNA molecules in the shotgun sequencing method, the rank modulation is proposed. In the rank modulation framework
Externí odkaz:
http://arxiv.org/abs/2406.06029