Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Ruben Alvarez"'
Publikováno v:
IEEE Access, Vol 8, Pp 31910-31919 (2020)
The emergence of autonomous vehicles with high needs for accuracy in location has hardened the requirements of the positioning systems used for navigation. Local Positioning Systems (LPS) have shown an excellent adaptation to these conditions, thanks
Externí odkaz:
https://doaj.org/article/5a69420086f94a1fb330fe3ec4c90f2b
Publikováno v:
IEEE Access, Vol 8, Pp 43046-43056 (2020)
High-accuracy positioning is fundamental for modern applications of autonomous agent navigation. The accuracy and stability of predicted locations are key factors for evaluating the suitability of positioning architectures that have to be deployed to
Externí odkaz:
https://doaj.org/article/8f0fb61ea62b4797a15da4fca429ebf7
Publikováno v:
IEEE Access, Vol 8, Pp 154671-154682 (2020)
Asynchronous Time Local Positioning Systems are emerging as a decisive tool for high-demanded accuracy applications. Its relevance relies on the unnecessary synchronism of the system devices and the ad-hoc node deployment for fitting the design requi
Externí odkaz:
https://doaj.org/article/b29cce08168f4ee88b9780a32e717e80
Publikováno v:
IEEE Access, Vol 8, Pp 225258-225271 (2020)
Autonomous navigation has meant a challenge for traditional positioning systems. As a consequence, ad-hoc deployments of sensors for addressing particular environment characteristics have emerged known as Local Positioning Systems (LPS). Among LPS, t
Externí odkaz:
https://doaj.org/article/424a73b196034824a03e801f7403c36f
Publikováno v:
Brain Sciences, Vol 12, Iss 2, p 235 (2022)
In recent years, deep learning models have demonstrated an inherently better ability to tackle non-linear classification tasks, due to advances in deep learning architectures. However, much remains to be achieved, especially in designing deep convolu
Externí odkaz:
https://doaj.org/article/f67e216978f148f58590db4df210e482
Autor:
Susanne Raab, Haiyan Wang, Sabine Uhles, Nadine Cole, Ruben Alvarez-Sanchez, Basil Künnecke, Christoph Ullmer, Hugues Matile, Marc Bedoucha, Roger D. Norcross, Nickki Ottaway-Parker, Diego Perez-Tilve, Karin Conde Knape, Matthias H. Tschöp, Marius C. Hoener, Sabine Sewing
Publikováno v:
Molecular Metabolism, Vol 5, Iss 1, Pp 47-56 (2016)
Objective: Type 2 diabetes and obesity are emerging pandemics in the 21st century creating worldwide urgency for the development of novel and safe therapies. We investigated trace amine-associated receptor 1 (TAAR1) as a novel target contributing to
Externí odkaz:
https://doaj.org/article/ad2d43af62f34cb681ec8b5659f0cd52
Autor:
Majeedi, Abrar, Naderi, Babak, Hosseinkashi, Yasaman, Cho, Juhee, Martinez, Ruben Alvarez, Cutler, Ross
Machine learning-based video codecs have made significant progress in the past few years. A critical area in the development of ML-based video codecs is an accurate evaluation metric that does not require an expensive and slow subjective test. We sho
Externí odkaz:
http://arxiv.org/abs/2309.00769
Autor:
Ruben Alvarez-Fernandez
Weeds severely affect crop quality and yield. Therefore, successful farming relies on their control by coordinated management approaches. Among these, chemical herbicides are of key importance. Their development and commercialization began in the 194
Akademický článek
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Autor:
Jeffrey Ward, Armin Ghobadi, John Liao, Adam Schoenfeld, Scott Tykodi, Yizhou Jiang, John Le Gall, Ruben Alvarez-Rodriguez, Marika Sherman, Tiffany Singson, Jeffrey McLeroy
Publikováno v:
Regular and Young Investigator Award Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a7c8c91e5581377cf60d2d3f88f6818
https://doi.org/10.1136/jitc-2022-sitc2022.0776
https://doi.org/10.1136/jitc-2022-sitc2022.0776