Zobrazeno 1 - 10
of 18 141
pro vyhledávání: '"A. Azra"'
High connectivity and robustness are critical requirements in distributed networks, as they ensure resilience, efficient communication, and adaptability in dynamic environments. Additionally, optimizing energy consumption is also paramount for ensuri
Externí odkaz:
http://arxiv.org/abs/2412.04874
Autor:
Contreras, Miguel, Kapoor, Sumit, Zhang, Jiaqing, Davidson, Andrea, Ren, Yuanfang, Guan, Ziyuan, Ozrazgat-Baslanti, Tezcan, Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa
Delirium is an acute confusional state that has been shown to affect up to 31% of patients in the intensive care unit (ICU). Early detection of this condition could lead to more timely interventions and improved health outcomes. While artificial inte
Externí odkaz:
http://arxiv.org/abs/2410.17363
Autor:
Ivanov, V. A., Galkin, V. I., Bonvech, E. A., Roganova, T. M., Chernov, D. V., Podgrudkov, D. A., Ziva, M. D., Latypova, V. S., Azra, C. G., Entina, E. L.
The study of cosmic rays in the energy range from 1 to 1000 PeV is crucial for understanding their origins and propagation paths. As part of this research, a new SPHERE-3 installation is being developed, featuring enhanced light sensitivity and optic
Externí odkaz:
http://arxiv.org/abs/2410.14921
Autor:
Galkin, V. I., Azra, C. G., Bonvech, E. A., Chernov, D. V., Entina, E. L., Ivanov, V. I., Latypova, V. S., Podgrudkov, D. A., Roganova, T. M., Ziva, and M. A.
A new Cherenkov telescope of the SPHERE type is under development. Its main goal is to promote the solution of the problem of the primary cosmic ray mass composition at ultra high energies (1--100 PeV) using a newly developed technique of the primary
Externí odkaz:
http://arxiv.org/abs/2410.13022
Autor:
Entina, E. L., Podgrudkov, D. A., Azra, C. G., Bonvech, E. A., Cherkesova, O. V., Chernov, D. V., Galkin, V. I., Ivanov, V. A., Kolodkin, T. A., Ovcharenko, N. O., Roganova, T. M., Ziva, M. D.
A new SPHERE-3 telescope is being developed for cosmic rays spectrum and mass composition studies in the 5--1000 PeV energy range. Registration of extensive air showers using reflected Cherenkov light method applied in the SPHERE detector series requ
Externí odkaz:
http://arxiv.org/abs/2410.01781
While control barrier functions are employed in addressing safety, control synthesis methods based on them generally rely on accurate system dynamics. This is a critical limitation, since the dynamics of complex systems are often not fully known. Sup
Externí odkaz:
http://arxiv.org/abs/2408.16144
Autor:
Ma, Yingbo, Song, Yukyeong, Balch, Jeremy A., Ren, Yuanfang, Vellanki, Divya, Hu, Zhenhong, Brennan, Meghan, Kolla, Suraj, Guan, Ziyuan, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Rashidi, Parisa, Loftus, Tyler J., Bihorac, Azra, Shickel, Benjamin
As more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical AI-enabled patient care. Despite the evolving importance of AI in healt
Externí odkaz:
http://arxiv.org/abs/2407.18939
Autor:
Ren, Yuanfang, Tripathi, Chirayu, Guan, Ziyuan, Zhu, Ruilin, Hougha, Victoria, Ma, Yingbo, Hu, Zhenhong, Balch, Jeremy, Loftus, Tyler J., Rashidi, Parisa, Shickel, Benjamin, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
Given the sheer volume of surgical procedures and the significant rate of postoperative fatalities, assessing and managing surgical complications has become a critical public health concern. Existing artificial intelligence (AI) tools for risk survei
Externí odkaz:
http://arxiv.org/abs/2404.16064
International standards bodies define Electromagnetic field (EMF) emission requirements that can be translated into control of the base station actual Effective Isotropic Radiated Power (EIRP), i.e., averaged over a sliding time window. In this work
Externí odkaz:
http://arxiv.org/abs/2404.06830
Autor:
Ma, Yingbo, Kolla, Suraj, Hu, Zhenhong, Kaliraman, Dhruv, Nolan, Victoria, Guan, Ziyuan, Ren, Yuanfang, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Balch, Jeremy A., Loftus, Tyler J., Rashidi, Parisa, Bihorac, Azra, Shickel, Benjamin
Modern electronic health records (EHRs) hold immense promise in tracking personalized patient health trajectories through sequential deep learning, owing to their extensive breadth, scale, and temporal granularity. Nonetheless, how to effectively lev
Externí odkaz:
http://arxiv.org/abs/2404.06723