Zobrazeno 1 - 10
of 16 002
pro vyhledávání: '"Colucci, A."'
Autor:
Anelise Silva da Silva, Francine Silva dos Santos, Carolina Machado Colucci, Maria Teresa Anselmo Olinto, Raquel Canuto
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract COVID-19 and obesity are two concurrent, interrelated pandemics that share similarities in their social causes, including racism. It is essential to understand how their characteristics are interrelated and the possible role of obesity in th
Externí odkaz:
https://doaj.org/article/b4cb569ad094412785959e62bed2121f
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Suicide-related behaviours and individual risk factors for suicide differ between ethnicities and demonstrate additional variation based on voluntary and forced migration. People forcibly displaced by violence and conflict, such a
Externí odkaz:
https://doaj.org/article/6a659b9476f64a50bb4983a93b2266a2
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 445-452 (2024)
Underwater cultural heritage (UCH) in Italy is under-documented despite its significance. Creating a comprehensive UCH database is essential but faces challenges, such as complex documentation processes, data interoperability, and international stand
Externí odkaz:
https://doaj.org/article/14bcd192c4ff4ad88cff68d3a657a202
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 525-532 (2024)
3D City models are essential for urban planning, accurately visualizing, analyzing, and simulating urban environments. They find applications in various fields like AEC (Architecture and Construction), urban and transportation planning, development a
Externí odkaz:
https://doaj.org/article/4eb4dd718641458cbc75a84309c7e85c
Autor:
Michela Leonardi, Margherita Colucci, Andrea Vittorio Pozzi, Eleanor M. L. Scerri, Andrea Manica
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1789-1795 (2024)
Abstract In species distribution modelling (SDM), it is common practice to explore multiple machine learning (ML) algorithms and combine their results into ensembles. In R, many implementations of different ML algorithms are available but, as they we
Externí odkaz:
https://doaj.org/article/9e0ef1728b6c40da99e09d20d7b9f9f9
Autor:
De Koninck, Yannick, Caer, Charles, Yudistira, Didit, Baryshnikova, Marina, Sar, Huseyin, Hsieh, Ping-Yi, Patra, Saroj Kanta, Kuznetsova, Nadezda, Colucci, Davide, Milenin, Alexey, Yimam, Andualem Ali, Morthier, Geert, Van Thourhout, Dries, Verheyen, Peter, Pantouvaki, Marianna, Kunert, Bernardette, Van Campenhout, Joris
Silicon photonics is a rapidly developing technology that promises to revolutionize the way we communicate, compute, and sense the world. However, the lack of highly scalable, native CMOS-integrated light sources is one of the main factors hampering
Externí odkaz:
http://arxiv.org/abs/2309.04473
Autor:
Giuseppe Lanzano, Filomena Napoli, Teresa Zannella, Roberta Colucci, Ida Cantiello, Giuseppe Scalera
Publikováno v:
JPRAS Open, Vol 42, Iss , Pp 170-177 (2024)
ABSTRACT: Background: Vibration amplification of sound energy at resonance (VASER) liposuction is an innovative technique that allows surgeons to selectively remove fat and shape desired areas of the body, resulting in more precise and controlled out
Externí odkaz:
https://doaj.org/article/b6c0af74ee354eef831cc1077aa4a4c4
Autor:
Colucci, Giulia1 colucci@slcj.uw.edu.pl, Trzcińska, Agnieszka1 agniecha@slcj.uw.edu.pl, Wen, Pei Wei2, Piasecki, Ernest1
Publikováno v:
EPJ Web of Conferences. 10/18/2024, Vol. 306, p1-6. 6p.
Autor:
Marchisio, Alberto, De Marco, Antonio, Colucci, Alessio, Martina, Maurizio, Shafique, Muhammad
Capsule Networks (CapsNets) are able to hierarchically preserve the pose relationships between multiple objects for image classification tasks. Other than achieving high accuracy, another relevant factor in deploying CapsNets in safety-critical appli
Externí odkaz:
http://arxiv.org/abs/2304.03973
Deep Learning (DL) systems have proliferated in many applications, requiring specialized hardware accelerators and chips. In the nano-era, devices have become increasingly more susceptible to permanent and transient faults. Therefore, we need an effi
Externí odkaz:
http://arxiv.org/abs/2303.08035