Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Pablo Millan"'
Publikováno v:
IEEE Access, Vol 12, Pp 124636-124657 (2024)
Given the need for effective crop monitoring while reducing human intervention and workload, it is necessary to implement devices that operate autonomously and are durable. These devices must be capable of operating over long distances, operate with
Externí odkaz:
https://doaj.org/article/7bd54ddb4b5145f8b8a7de2f578394af
Publikováno v:
IEEE Access, Vol 11, Pp 51985-51996 (2023)
Agriculture accounts for approximately 70% of the world’s freshwater consumption. Furthermore, traditional irrigation practices, which rely on empirical methods, result in excessive water usage. This, in turn, leads to increased working hours for i
Externí odkaz:
https://doaj.org/article/d3f12c2884a7419298736587a2726e07
Autor:
Gharaee, Zahra, Lowe, Scott C., Gong, ZeMing, Arias, Pablo Millan, Pellegrino, Nicholas, Wang, Austin T., Haurum, Joakim Bruslund, Zarubiieva, Iuliia, Kari, Lila, Steinke, Dirk, Taylor, Graham W., Fieguth, Paul, Chang, Angel X.
As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, this paper presents the BIOSCAN-5M Insect dataset to the machine learning community and establish several benchmark tasks. BIOSCAN-5M is a comprehensive dataset con
Externí odkaz:
http://arxiv.org/abs/2406.12723
Autor:
Arias, Pablo Millan, Sadjadi, Niousha, Safari, Monireh, Gong, ZeMing, Wang, Austin T., Lowe, Scott C., Haurum, Joakim Bruslund, Zarubiieva, Iuliia, Steinke, Dirk, Kari, Lila, Chang, Angel X., Taylor, Graham W.
Understanding biodiversity is a global challenge, in which DNA barcodes - short snippets of DNA that cluster by species - play a pivotal role. In particular, invertebrates, a highly diverse and under-explored group, pose unique taxonomic complexities
Externí odkaz:
http://arxiv.org/abs/2311.02401
Deep learning (DL) architectures have been successfully used in many applications including wireless systems. However, they have been shown to be susceptible to adversarial attacks. We analyze DL-based models for a regression problem in the context o
Externí odkaz:
http://arxiv.org/abs/2110.04731
Publikováno v:
Annual Reviews in Control (2021)
This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the control of epidemic phenomena. We review the available methodologies and discus
Externí odkaz:
http://arxiv.org/abs/2102.13130
Akademický článek
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Autor:
Juan Pablo Millan Sandoval, Gabrielle Dufort, Laurent Letourneau-Guillon, Moishe Liberman, Céline Odier
Publikováno v:
Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. :1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c434a8619851b69be7d3fd7d61d37a02
https://doi.org/10.1017/cjn.2023.55
https://doi.org/10.1017/cjn.2023.55
Publikováno v:
IEEE Control Systems Letters
IEEE Control Systems Letters, 2022, 7, pp.331-336. ⟨10.1109/LCSYS.2022.3188476⟩
IEEE Control Systems Letters, 2022, 7, pp.331-336. ⟨10.1109/LCSYS.2022.3188476⟩
With a continuous-time formulation of the multihop decomposition, we propose a distributed hybrid observer for a sensor network where the plant and local observers run in continuous time and the information exchange among the sensing nodes is sampled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58398ce9e128cf6b8894d7a632b1068b
https://doi.org/10.1109/lcsys.2022.3188476
https://doi.org/10.1109/lcsys.2022.3188476
Akademický článek
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