Zobrazeno 1 - 10
of 1 625
pro vyhledávání: '"Feriani A"'
Autor:
Feriani, Sophia Julia, Cosnefroy, Matthias, Engsig-Karup, Allan Peter, Warburton, Tim, Pind, Finnur, Jeong, Cheol-Ho
In outdoor acoustics, the calculations of sound propagating in air can be computationally heavy if the domain is chosen large enough to fulfil the Sommerfeld radiation condition. By strategically truncating the computational domain with a efficient b
Externí odkaz:
http://arxiv.org/abs/2404.08464
Autor:
Laham, Saria Al, Baghi, Bobak H., Lajoie, Pierre-Yves, Feriani, Amal, Herath, Sachini, Liu, Steve, Dudek, Gregory
We present a human state estimation framework that allows us to estimate the location, and even the activities, of people in an indoor environment without the requirement that they carry a specific devices with them. To achieve this "device free" loc
Externí odkaz:
http://arxiv.org/abs/2401.05410
Publikováno v:
Journal of Acute Disease, Vol 6, Iss 5, Pp 193-197 (2017)
Objective: To investigate the protective effects of Aristolochia longa (A. longa) and Aquilaria malaccensis (A. malaccensis) on acute hepatotoxicity induced by lead in female albino rats.Methods: Twenty five (25) apparently healthy female Wistar rats
Externí odkaz:
https://doaj.org/article/b44772ca28534b40af81bd4dd85a54d2
Autor:
Rivkin, Dmitriy, Hogan, Francois, Feriani, Amal, Konar, Abhisek, Sigal, Adam, Liu, Steve, Dudek, Greg
The common sense reasoning abilities and vast general knowledge of Large Language Models (LLMs) make them a natural fit for interpreting user requests in a Smart Home assistant context. LLMs, however, lack specific knowledge about the user and their
Externí odkaz:
http://arxiv.org/abs/2311.00772
Autor:
Pipit Feriani, Esti Yunitasari, Ferry Efendi, Ilya Krisnana, Rini Ernawati, Niken A. Tianingrum, Nurus Safaah
Publikováno v:
Iranian Journal of Nursing and Midwifery Research, Vol 29, Iss 5, Pp 596-607 (2024)
Background: Reproductive health, crucial for public health and sustainable development, encompasses family planning and contraceptive use. However, global disparities persist in the adoption of family planning, highlighting the need for a comprehensi
Externí odkaz:
https://doaj.org/article/8f4dccb86ad1462cb1b675ae9df2edd8
Channel estimation in reconfigurable intelligent surfaces (RIS)-aided systems is crucial for optimal configuration of the RIS and various downstream tasks such as user localization. In RIS-aided systems, channel estimation involves estimating two cha
Externí odkaz:
http://arxiv.org/abs/2308.13616
Deep learning has been extensively used in wireless communication problems, including channel estimation. Although several data-driven approaches exist, a fair and realistic comparison between them is difficult due to inconsistencies in the experimen
Externí odkaz:
http://arxiv.org/abs/2306.13761
Autor:
Yuan, Dun, Nam, Yujin, Feriani, Amal, Konar, Abhisek, Wu, Di, Jang, Seowoo, Liu, Xue, Dudek, Greg
Digital twins have shown a great potential in supporting the development of wireless networks. They are virtual representations of 5G/6G systems enabling the design of machine learning and optimization-based techniques. Field data replication is one
Externí odkaz:
http://arxiv.org/abs/2303.13686
Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generations wireless systems. This led to a large body of research work that applies ML techniques to solve problems in different layers of the wireless tran
Externí odkaz:
http://arxiv.org/abs/2303.08106
With the proliferation of deep learning techniques for wireless communication, several works have adopted learning-based approaches to solve the channel estimation problem. While these methods are usually promoted for their computational efficiency a
Externí odkaz:
http://arxiv.org/abs/2211.10753