Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Yassine, Taha"'
Autor:
Yassine, Taha, Chatelier, Baptiste, Corlay, Vincent, Crussière, Matthieu, Paquelet, Stephane, Tirkkonen, Olav, Magoarou, Luc Le
Channel charting builds a map of the radio environment in an unsupervised way. The obtained chart locations can be seen as low-dimensional compressed versions of channel state information that can be used for a wide variety of applications, including
Externí odkaz:
http://arxiv.org/abs/2312.02239
Channel charting (CC) consists in learning a mapping between the space of raw channel observations, made available from pilot-based channel estimation in multicarrier multiantenna system, and a low-dimensional space where close points correspond to c
Externí odkaz:
http://arxiv.org/abs/2310.03762
Autor:
Yahya El Berdai, Yassine Taha, Romain Trauchessec, Yasmine Rhaouti, Amine el Mahdi Safhi, Rachid Hakkou, Mostafa Benzaazoua
Publikováno v:
Case Studies in Construction Materials, Vol 21, Iss , Pp e03863- (2024)
Natural aggregate quarrying significantly impacts the environment while phosphate mine waste rock (PMWR) offers alternative aggregates for use in high-added value construction materials. This study was the first to investigate the application of thre
Externí odkaz:
https://doaj.org/article/7979ff4d33954862a9cb5e145de52187
Channel charting (CC) is an unsupervised learning method allowing to locate users relative to each other without reference. From a broader perspective, it can be viewed as a way to discover a low-dimensional latent space charting the channel manifold
Externí odkaz:
http://arxiv.org/abs/2212.12340
Publikováno v:
International Journal of Mining Science and Technology, Vol 34, Iss 4, Pp 557-571 (2024)
Recycling waste frying oils for the synthesis of flotation reagents presents a promising avenue for sustainable waste management. Moreover, it offers a cost-effective solution for crafting a specialized collector designed to efficiently remove carbon
Externí odkaz:
https://doaj.org/article/28d2a3bd05ea417e85803ff4a7d9852c
Channel charting is an unsupervised learning method that aims at mapping wireless channels to a so-called chart, preserving as much as possible spatial neighborhoods. In this paper, a model-based deep learning approach to this problem is proposed. It
Externí odkaz:
http://arxiv.org/abs/2204.13996
Massive MIMO systems are highly efficient but critically rely on accurate channel state information (CSI) at the base station in order to determine appropriate precoders. CSI acquisition requires sending pilot symbols which induce an important overhe
Externí odkaz:
http://arxiv.org/abs/2201.01386
Publikováno v:
Buildings, Vol 14, Iss 9, p 2600 (2024)
Phosphate mining generates substantial quantities of waste rock during the extraction of sedimentary ores, leading to significant environmental concerns as these wastes accumulate around mining sites. The industry is under increasing pressure to adop
Externí odkaz:
https://doaj.org/article/f54fec89d86c469194ceec642b316315
Autor:
Yahya El Berdai, Romain Trauchessec, Yassine Taha, Amine el Mahdi Safhi, Rachid Hakkou, Mostafa Benzaazoua
Publikováno v:
Buildings, Vol 14, Iss 8, p 2375 (2024)
Phosphate waste rock (PWR) is gaining attention as a potential alternative aggregate for concrete. Its valorization could reduce the environmental impacts of quarrying natural resources and stockpiling phosphate mining waste. This study comprehensive
Externí odkaz:
https://doaj.org/article/b7efb7c8fc7e47188ad743330968409d
Autor:
Yassine, Taha, Magoarou, Luc Le
Massive multiple-input multiple-output (MIMO) communication systems have a huge potential both in terms of data rate and energy efficiency, although channel estimation becomes challenging for a large number of antennas. Using a physical model allows
Externí odkaz:
http://arxiv.org/abs/2008.04088