Zobrazeno 41 - 50
of 14 402
pro vyhledávání: '"Rahmani P"'
Autor:
Ramezani, Majid, Mohammadshahi, Hamed, Daliry, Mahshid, Rahmani, Soroor, Asghari, Amir-Hosein
Publikováno v:
2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP) (2024) page 89
In the era of information proliferation, discerning the credibility of news content poses an ever-growing challenge. This paper introduces RELIANCE, a pioneering ensemble learning system designed for robust information and fake news credibility evalu
Externí odkaz:
http://arxiv.org/abs/2401.10940
Respiratory rate (RR) serves as an indicator of various medical conditions, such as cardiovascular diseases and sleep disorders. These RR estimation methods were mostly designed for finger-based PPG collected from subjects in stationary situations (e
Externí odkaz:
http://arxiv.org/abs/2401.05469
Accurately predicting the temperature field in metal additive manufacturing (AM) processes is critical to preventing overheating, adjusting process parameters, and ensuring process stability. While physics-based computational models offer precision,
Externí odkaz:
http://arxiv.org/abs/2401.02403
Autor:
Li, Haopeng, Deng, Andong, Ke, Qiuhong, Liu, Jun, Rahmani, Hossein, Guo, Yulan, Schiele, Bernt, Chen, Chen
Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval. However, this task has not been explored due to the lack of relevant datasets and the challenging
Externí odkaz:
http://arxiv.org/abs/2401.01505
We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and photo-realistic hand reconstruction approach. We propose a self-adaptive canonical points upsampling strategy to achieve high-resolution hand geometry representation. This
Externí odkaz:
http://arxiv.org/abs/2312.13770
Autor:
Aqajari, Seyed Amir Hossein, Labbaf, Sina, Tran, Phuc Hoang, Nguyen, Brenda, Mehrabadi, Milad Asgari, Levorato, Marco, Dutt, Nikil, Rahmani, Amir M.
Daily monitoring of stress is a critical component of maintaining optimal physical and mental health. Physiological signals and contextual information have recently emerged as promising indicators for detecting instances of heightened stress. Nonethe
Externí odkaz:
http://arxiv.org/abs/2401.05367
Autor:
Rahmani, Maryam, Barrentine, Emily M., Switzer, Eric R., Barlis, Alyssa, Brown, Ari D., Cataldo, Giuseppe, Connors, Jake A., Ehsan, Negar, Essinger-Hileman, Thomas M., Grant, Henry, Hays-Wehle, James, Hsieh, Wen-Ting, Mikula, Vilem, Moseley, S. Harvey, Noroozian, Omid, Quijada, Manuel A., Patel, Jessica, Stevenson, Thomas R., Tucker, Carole, U-Yen, Kongpop, Volpert, Carolyn G., Wollack, Edward J.
We describe a testbed to characterize the optical response of compact superconducting on-chip spectrometers in development for the Experiment for Cryogenic Large-Aperture Intensity Mapping (EXCLAIM) mission. EXCLAIM is a balloonborne far-infrared exp
Externí odkaz:
http://arxiv.org/abs/2312.07656
Autor:
Antón, Anna Lena Duque, Müller, Johannes, Deutschmann, Lucas, Fadiheh, Mohammad Rahmani, Stoffel, Dominik, Kunz, Wolfgang
The threat of hardware Trojans (HTs) in security-critical IPs like cryptographic accelerators poses severe security risks. The HT detection methods available today mostly rely on golden models and detailed circuit specifications. Often they are speci
Externí odkaz:
http://arxiv.org/abs/2312.06515
Autor:
Yagis, Ekin, Aslani, Shahab, Jain, Yashvardhan, Zhou, Yang, Rahmani, Shahrokh, Brunet, Joseph, Bellier, Alexandre, Werlein, Christopher, Ackermann, Maximilian, Jonigk, Danny, Tafforeau, Paul, Lee, Peter D, Walsh, Claire
Automated blood vessel segmentation is vital for biomedical imaging, as vessel changes indicate many pathologies. Still, precise segmentation is difficult due to the complexity of vascular structures, anatomical variations across patients, the scarci
Externí odkaz:
http://arxiv.org/abs/2311.13319
To understand the onset of collective motion, we investigate active systems where particles switch on and off their self-propulsion. We prove that even when the only possible transition is off$\to$on, an active 2-state system behaves as an effective
Externí odkaz:
http://arxiv.org/abs/2311.06208