Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Sara Mandelli"'
Autor:
Omran Alamayreh, Carmelo Fascella, Sara Mandelli, Benedetta Tondi, Paolo Bestagini, Mauro Barni
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-23 (2024)
Abstract In the last few years, research on the detection of AI-generated videos has focused exclusively on detecting facial manipulations known as deepfakes. Much less attention has been paid to the detection of artificial non-facial fake videos. In
Externí odkaz:
https://doaj.org/article/cefe58b0005f4b639712cca245c1b0af
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3963 (2024)
Plants emit biogenic volatile organic compounds (BVOCs), such as isoprene, significantly influencing atmospheric chemistry and climate. BVOC emissions estimated from bottom-up (BU) approaches (derived from numerical simulations) usually exhibit dense
Externí odkaz:
https://doaj.org/article/e33f9df3b1894db5a18fd268ae65019a
Publikováno v:
Pharmacoepidemiology, Vol 2, Iss 2, Pp 148-156 (2023)
Background: The extensive use of antibiotics has contributed to the development of antibiotic resistance. Understanding the factors behind the attitude of physicians in prescribing antibiotics may be useful to address educational interventions to sen
Externí odkaz:
https://doaj.org/article/0af17e1538094aad993519ebe11c5128
Publikováno v:
EURASIP Journal on Information Security, Vol 2022, Iss 1, Pp 1-17 (2022)
Abstract Source device identification is an important topic in image forensics since it allows to trace back the origin of an image. Its forensics counterpart is source device anonymization, that is, to mask any trace on the image that can be useful
Externí odkaz:
https://doaj.org/article/1b73b014b2864e9d805011a09712ced2
Autor:
Sara Mandelli, Davide Cozzolino, Edoardo D. Cannas, Joao P. Cardenuto, Daniel Moreira, Paolo Bestagini, Walter J. Scheirer, Anderson Rocha, Luisa Verdoliva, Stefano Tubaro, Edward J. Delp
Publikováno v:
IEEE Access, Vol 10, Pp 59919-59932 (2022)
The widespread diffusion of synthetically generated content is a serious threat that needs urgent countermeasures. As a matter of fact, the generation of synthetic content is not restricted to multimedia data like videos, photographs or audio sequenc
Externí odkaz:
https://doaj.org/article/9a72697520d3445a94c3cbe2564011a8
Publikováno v:
IEEE Access, Vol 10, Pp 33882-33899 (2022)
Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks. In the last few years, many websites have been offering them for free in the form of easy to manage products, favoring their widespread diffusion and research wor
Externí odkaz:
https://doaj.org/article/279a06990e6d4f08872ae5c6f17f0506
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3750 (2023)
This paper presents an extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. SAR images are gaining popularity in various applications, but there may be a need to conceal certain r
Externí odkaz:
https://doaj.org/article/c6b1c8852f604120a51c89e6bb5495ab
Autor:
Davide Salvi, Honggu Liu, Sara Mandelli, Paolo Bestagini, Wenbo Zhou, Weiming Zhang, Stefano Tubaro
Publikováno v:
Journal of Imaging, Vol 9, Iss 6, p 122 (2023)
The widespread use of deep learning techniques for creating realistic synthetic media, commonly known as deepfakes, poses a significant threat to individuals, organizations, and society. As the malicious use of these data could lead to unpleasant sit
Externí odkaz:
https://doaj.org/article/e63a6c1257ab40318d8c5397c26bbdb5
Publikováno v:
Pharmacology Research & Perspectives, Vol 9, Iss 6, Pp n/a-n/a (2021)
Abstract The aims of the study were to assess the changes in 19‐years use of antibiotics (overall, by age, sex and geographical area) and of those classes deemed to be quality indicators for their consumption and to evaluate factors associated to a
Externí odkaz:
https://doaj.org/article/13b3113c54ba48c6b3966228866c4375
Autor:
Alessia A. Galbussera, Sara Mandelli, Stefano Rosso, Roberto Zanetti, Marianna Rossi, Adriano Giacomin, Paolo Detoma, Emma Riva, Mauro Tettamanti, Matteo G. Della Porta, Ugo Lucca
Publikováno v:
PLoS ONE, Vol 16, Iss 12 (2021)
Background Mild anemia is a frequent although often overlooked finding in old age. Nevertheless, in recent years anemia has been linked to several adverse outcomes in the elderly population. Objective of the study was to investigate the association o
Externí odkaz:
https://doaj.org/article/d0f552d5609149688322b1688add8419