Zobrazeno 1 - 10
of 994
pro vyhledávání: '"P. Bucheli"'
We present the first multi-user (MU) multiple-input multiple-output (MIMO) receiver ASIC that mitigates jamming attacks. The ASIC implements a recent nonlinear algorithm that performs joint jammer mitigation (via spatial filtering) and data detection
Externí odkaz:
http://arxiv.org/abs/2406.18149
Autor:
Shahid, Husnain, Amatetti, Carla, Campana, Riccardo, Tong, Sorya, Panaitopol, Dorin, Coralli, Alessandro Vanelli, Mohamed, Abdelhamed, Zhang, Chao, Khalifa, Ebraam, Medeiros, Eduardo, Recayte, Estefania, Ghasemifard, Fatemeh, Lianghai, Ji, Bucheli, Juan, Swamy, Karthik Anantha, Caus, Marius, Gurelli, Mehmet, Vazquez, Miguel A., Shaat, Musbah, Borios, Nathan, Eriksson, Per-Erik, Euler, Sebastian, Li, Zheng, Fu, Xiaotian
The efforts on the development, standardization and improvements to communication systems towards 5G Advanced and 6G are on track to provide benefits such as an unprecedented level of connectivity and performance, enabling a diverse range of vertical
Externí odkaz:
http://arxiv.org/abs/2404.13918
Autor:
Hehn, Thomas M., Orekondy, Tribhuvanesh, Shental, Ori, Behboodi, Arash, Bucheli, Juan, Doshi, Akash, Namgoong, June, Yoo, Taesang, Sampath, Ashwin, Soriaga, Joseph B.
Estimating path loss for a transmitter-receiver location is key to many use-cases including network planning and handover. Machine learning has become a popular tool to predict wireless channel properties based on map data. In this work, we present a
Externí odkaz:
http://arxiv.org/abs/2310.04570
Publikováno v:
Biomédica: revista del Instituto Nacional de Salud, Vol 44, Iss 4, Pp 575-578 (2024)
Externí odkaz:
https://doaj.org/article/07c89d6190cc49d19ec165bc19d9864f
Autor:
Juan Fernando Bucheli
Publikováno v:
International Journal of Urban Sustainable Development, Vol 16, Iss 1, Pp 1-18 (2024)
This paper assesses young adults’ quality-of-life in the context of urban segregation by using the Capability Approach as an informative framework to analyse people’s well-being. The study employs an open list of 15 urban capabilities to assess h
Externí odkaz:
https://doaj.org/article/0ad24e90f4c04b1aa73da926c591b524
Autor:
Isabel Hilber, Nikolas Hagemann, José María de laRosa, Heike Knicker, Thomas D. Bucheli, Hans‐Peter Schmidt
Publikováno v:
GCB Bioenergy, Vol 16, Iss 11, Pp n/a-n/a (2024)
ABSTRACT Anaerobic digestion and composting of biowastes are vital pathways to recycle carbon and nutrients for agriculture. However, plastic contamination of soil amendments and fertilizers made from biowastes is a relevant source of (micro‐) plas
Externí odkaz:
https://doaj.org/article/d0cd04d355fe412ebcb8677f7016d6cc
Autor:
Jose F. Fuertes-Bucheli, Diana P. Buenaventura-Alegría, Adriana M. Rivas-Mina, Robinson Pacheco-López
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 5, Pp 890-899 (2024)
High incidences of congenital syphilis have been reported in areas along the Pacific coast of Colombia. In this retrospective study, conducted during 2018–2022 at a public hospital in Buenaventura, Colombia, we analyzed data from 3,378 pregnant wom
Externí odkaz:
https://doaj.org/article/6f8ca0113b4e4611bd82355f5383d214
Autor:
Olivia T. M. Bucheli, Daniela Rodrigues, Kevin Portmann, Aline Linder, Marina Thoma, Cornelia Halin, Klaus Eyer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract While cellular metabolism was proposed to be a driving factor of the activation and differentiation of B cells and the function of the resulting antibody-secreting cells (ASCs), the study of correlations between cellular metabolism and funct
Externí odkaz:
https://doaj.org/article/628961755b63498a8fcb0e277ea4134c
Publikováno v:
Frontiers in Climate, Vol 6 (2024)
IntroductionSoil organic carbon (SOC) content can vary significantly across a given plot. Therefore, a representative sampling is a prerequisite to obtain meaningful results from analysis and of utter importance when SOC quantification is used to qua
Externí odkaz:
https://doaj.org/article/88eaef9829e0400385593cc5a5090f6d
The so-called contemporary AI revolution has reached every corner of the social, human and natural sciences -- physics included. In the context of quantum many-body physics, its intersection with machine learning has configured a high-impact interdis
Externí odkaz:
http://arxiv.org/abs/2204.12966