Zobrazeno 1 - 10
of 22 165
pro vyhledávání: '"Abedi, A"'
Autor:
Khaloopour, Ladan, Su, Yanpeng, Raskob, Florian, Meuser, Tobias, Bless, Roland, Würsching, Leon, Abedi, Kamyar, Andjelkovic, Marko, Chaari, Hekma, Chakraborty, Pousali, Kreutzer, Michael, Hollick, Matthias, Strufe, Thorsten, Franchi, Norman, Jamali, Vahid
The sixth generation (6G) mobile communication networks are expected to intelligently integrate into various aspects of modern digital society, including smart cities, homes, healthcare, transportation, and factories. While offering a multitude of se
Externí odkaz:
http://arxiv.org/abs/2405.17480
Autor:
Norouzi, S., Azarasa, N., Abedi, M. R., Mokari, N., Seyedabrishami, S. E., Saeedi, H., Jorswieck, E. A.
Efficient and dynamic path planning has become an important topic for urban areas with larger density of connected vehicles (CV) which results in reduction of travel time and directly contributes to environmental sustainability through reducing energ
Externí odkaz:
http://arxiv.org/abs/2405.08053
Autor:
Abedi, Sajjad, Moslehian, Mohammad Sal
Publikováno v:
Positivity 27 (2023), no. 1, Paper No. 7, 17 pp
Dales and Polyakov introduced a multi-norm $\left( \left\|\cdot\right\|_n^{(2,2)}:n\in\mathbb{N}\right)$ based on a Banach space $\mathscr{X}$ and showed that it is equal with the Hilbert-multi-norm $\left( \left\|\cdot\right\|_n^{\mathscr{H}}:n\in\m
Externí odkaz:
http://arxiv.org/abs/2405.05291
Autor:
Mayemba, Christian N., Nkashama, D'Jeff K., Tshimula, Jean Marie, Dialufuma, Maximilien V., Muabila, Jean Tshibangu, Didier, Mbuyi Mukendi, Kanda, Hugues, Galekwa, René Manassé, Fita, Heber Dibwe, Mundele, Serge, Kalala, Kalonji, Ilunga, Aristarque, Ntobo, Lambert Mukendi, Muteba, Dominique, Abedi, Aaron Aruna
This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics. Understanding how people move during epidemics is e
Externí odkaz:
http://arxiv.org/abs/2404.16921
Seismic data often contain gaps due to various obstacles in the investigated area and recording instrument failures. Deep learning techniques offer promising solutions for reconstructing missing data parts by leveraging existing information. However,
Externí odkaz:
http://arxiv.org/abs/2404.02632
Autor:
Abedi, Ali, Khan, Shehroz S.
Engagement in virtual learning is crucial for a variety of factors including learner satisfaction, performance, and compliance with learning programs, but measuring it is a challenging task. There is therefore considerable interest in utilizing artif
Externí odkaz:
http://arxiv.org/abs/2403.17175
Exercise-based rehabilitation programs have proven to be effective in enhancing the quality of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilitation, which allows patients to independently complete exercises at hom
Externí odkaz:
http://arxiv.org/abs/2403.02772
Autor:
Tavassoli, Afsaneh, author, Abedi, Maliheh, author
Publikováno v:
Feminine Visibility in Contemporary Iran: Women, Religion, Culture and the State. :53-83
Autor:
Huang, Yu Xi, Mahler, Simon, Dickson, Maya, Abedi, Aidin, Tyszka, Julian M., Tung, Jack Lo Yu, Russin, Jonathan, Liu, Charles, Yang, Changhuei
In the realm of cerebrovascular monitoring, primary metrics typically include blood pressure, which influences cerebral blood flow (CBF) and is contingent upon vessel radius. Measuring CBF non-invasively poses a persistent challenge, primarily attrib
Externí odkaz:
http://arxiv.org/abs/2401.16592
Autor:
Abedi, Mohsen
In this paper, we investigate the impact of the Distributed generation (DG) on Power Transmission Grid and pricing strategy for different geographical locations in different states, generally distributed generation (DG) on distribution feeders is kno
Externí odkaz:
http://arxiv.org/abs/2401.01432