Zobrazeno 1 - 10
of 16 811
pro vyhledávání: '"Alberto, A"'
Autor:
Dolores Corbacho-Abelaira, Manuel Casal-Guisande, Fernando Corbacho-Abelaira, Miguel Arnaiz-Fernandez, Carmen Trinidad-Lopez, Carlos Delgado Sanchez-Gracian, Manuel Sanchez-Montanes, Alberto Ruano-Ravina, Alberto Fernandez-Villar
Publikováno v:
IEEE Access, Vol 12, Pp 95035-95046 (2024)
The COVID-19 pandemic drastically transformed the integration of technology into medicine, testing the ability of health systems to make quick and effective decisions. This has been especially noticeable in emergency departments, which were overwhelm
Externí odkaz:
https://doaj.org/article/0103527895c247cf9afd0a7c81ed0e25
Autor:
Miguel Alberto Urina-Triana, Marlon Alberto Pineres-Melo, Mirary Mantilla-Morron, Shariq Butt-Aziz, Luisa Galeano-Munoz, Sumera Naz, Paola Patricia Ariza-Colpas
Publikováno v:
IEEE Access, Vol 12, Pp 54590-54607 (2024)
The field of healthcare holds significant global importance due to its profound impacts on both individual well-being and the broader healthcare system. It plays a pivotal role in the economic landscape, with far-reaching effects at the local, nation
Externí odkaz:
https://doaj.org/article/748a589bd12a41cca40d19eadba7d1e8
Autor:
Valerio Torrelli, Alberto Gullino, Alberto Tibaldi, Francesco Bertazzi, Michele Goano, Pierluigi Debernardi
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 2, Pp 1-7 (2024)
In this work we investigate patterned large-active area AlGaAs vertical-cavity surface-emitting lasers (VCSELs) targeting high-power single-transverse-mode emission. As a first step, our in-house 3D electromagnetic vectorial mode solver VELMS is vali
Externí odkaz:
https://doaj.org/article/4c0c45e35a7642a98f5b52b58b8737f2
Autor:
Alberto Gullino, Valerio Torrelli, Martino D'Alessandro, Alberto Tibaldi, Francesco Bertazzi, Michele Goano, Pierluigi Debernardi
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 2, Pp 1-9 (2024)
This work reports a multiscale physics-based approach aimed at investigating the benefits of introducing a single tunnel junction (TJ) within conventional AlGaAs Vertical-Cavity Surface-Emitting Lasers (VCSELs). Our comprehensive VCSEL solver VENUS i
Externí odkaz:
https://doaj.org/article/cd0507066a4b4c51aa6e5aa8766f15e2
Autor:
Mark Power, Sara Kennedy, Frances Cleary, Ian Mills, Sharon Kinsella, Alberto Huertas Celdran
Publikováno v:
IEEE Access, Vol 12, Pp 108953-108974 (2024)
Autism is a developmental condition that affects motor skill development. There is a lack of comprehensive research exploring the potential benefits of extended reality (XR) technologies, including virtual reality (VR) and augmented reality (AR), for
Externí odkaz:
https://doaj.org/article/d15c17a2f7474a81a977afe930281c2c
Publikováno v:
IEEE Access, Vol 12, Pp 107144-107152 (2024)
An inverted-L monopole radiating element is proposed for antenna-in-package modules at the 151.5-164 GHz band. Its radiation pattern is half-isotropic and is well-suited for phased arrays for mobile communications. The ideal inverted-L monopole is an
Externí odkaz:
https://doaj.org/article/46d3ac8de44946409a0ac16db90412e7
Autor:
Alberto Botter, Taian Vieira, Chiara Busso, Federica Vitali, Marco Gazzoni, Giacinto L. Cerone
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2805-2814 (2024)
Tongue motor function is crucial in a wide range of basic activities and its impairment affects quality of life. The electrophysiological assessment of the tongue relies primarily on needle electromyography, which is limited by its invasiveness and i
Externí odkaz:
https://doaj.org/article/3984f49fcba74e85adf1b8b44cc35482
Autor:
Xikun Hu, Wenlin Liu, Hao Wen, Ka-Veng Yuen, Tian Jin, Alberto Costa Nogueira Junior, Ping Zhong
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13558-13569 (2024)
Active fire (AF) detection is essential for early warning of wildfires to help suppress and mitigate damage. This study presents an AF neural network (AF-Net) model based on object-contextual representations (OCR) for AF segmentation from very high-r
Externí odkaz:
https://doaj.org/article/5d14cdbcaaa04e6eb884ae07b12f2fd8
Autor:
Dmitrii Vasenin, Marco Pasetti, Davide Astolfi, Nikita Savvin, Stefano Rinaldi, Alberto Berizzi
Publikováno v:
IEEE Access, Vol 12, Pp 103520-103536 (2024)
This paper addresses the critical issue of missing data in power demand time series by emphasizing the relevance of imputation-based approaches in data-driven technologies. A comparative analysis of imputation methods is performed, where the referenc
Externí odkaz:
https://doaj.org/article/ff70544963e640f2af2d1c081e57a114
Publikováno v:
IEEE Access, Vol 12, Pp 104102-104114 (2024)
Container and microservices management platforms are currently one of the most important tools for cloud computing, but since the scope of these tools is homogeneous cloud architectures they have serious limitations in adapting to new computing parad
Externí odkaz:
https://doaj.org/article/630acca61ce64433aa2181efd60c4bab