Zobrazeno 1 - 10
of 198
pro vyhledávání: '"moroni, davide"'
Publikováno v:
Mathematics 2022, 10(17), 3086
In this work, we develop a pipeline that associates Persistence Diagrams to digital data via the most appropriate filtration for the type of data considered. Using a grid search approach, this pipeline determines optimal representation methods and pa
Externí odkaz:
http://arxiv.org/abs/2309.15276
Autor:
Conti, Francesco, Banchelli, Martina, Bessi, Valentina, Cecchi, Cristina, Chiti, Fabrizio, Colantonio, Sara, D'Andrea, Cristiano, de Angelis, Marella, Moroni, Davide, Nacmias, Benedetta, Pascali, Maria Antonietta, Sorbi, Sandro, Matteini, Paolo
The cerebrospinal fluid (CSF) of 19 subjects who received a clinical diagnosis of Alzheimer's disease (AD) as well as of 5 pathological controls have been collected and analysed by Raman spectroscopy (RS). We investigated whether the raw and preproce
Externí odkaz:
http://arxiv.org/abs/2309.03664
Autoencoders are certainly among the most studied and used Deep Learning models: the idea behind them is to train a model in order to reconstruct the same input data. The peculiarity of these models is to compress the information through a bottleneck
Externí odkaz:
http://arxiv.org/abs/2309.01532
Autor:
Omrani, Ali Reza, Moroni, Davide
Publikováno v:
IEEE ACCESS (2024)
Thanks to High Dynamic Range (HDR) imaging methods, the scope of photography has seen profound changes recently. To be more specific, such methods try to reconstruct the lost luminosity of the real world caused by the limitation of regular cameras fr
Externí odkaz:
http://arxiv.org/abs/2307.14705
Autor:
Omrani, Ali Reza, Moroni, Davide
Regular cameras and cell phones are able to capture limited luminosity. Thus, in terms of quality, most of the produced images from such devices are not similar to the real world. They are overly dark or too bright, and the details are not perfectly
Externí odkaz:
http://arxiv.org/abs/2212.03002
Publikováno v:
Expert Systems (2023)
In recent times, with the exception of sporadic cases, the trend in Computer Vision is to achieve minor improvements compared to considerable increases in complexity. To reverse this trend, we propose a novel method to boost image classification perf
Externí odkaz:
http://arxiv.org/abs/2206.07394
Autor:
Conti, Francesco, Banchelli, Martina, Bessi, Valentina, Cecchi, Cristina, Chiti, Fabrizio, Colantonio, Sara, D’Andrea, Cristiano, de Angelis, Marella, Moroni, Davide, Nacmias, Benedetta, Pascali, Maria Antonietta, Sorbi, Sandro, Matteini, Paolo
Publikováno v:
In Journal of the Franklin Institute December 2024 361(18)
Publikováno v:
Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7199-7206, 2019
Early diagnosis of cancer often allows for a more vast choice of therapy opportunities. After a cancer diagnosis, staging provides essential information about the extent of disease in the body and the expected response to a particular treatment. The
Externí odkaz:
http://arxiv.org/abs/2008.01864
Thermal vulnerability detection in integrated electronic and photonic circuits using IR thermography
Autor:
Hussain, Bilal, Jalil, Bushra, Pascali, Maria Antonietta, Imran, Muhammad, Serafino, Giovanni, Moroni, Davide, Ghelfi, Paolo
Failure prediction of any electrical/optical component is crucial for estimating its operating life. Using high temperature operating life (HTOL) tests, it is possible to model the failure mechanisms for integrated circuits. Conventional HTOL standar
Externí odkaz:
http://arxiv.org/abs/2006.12201
Autor:
Antonio, Bruno1 (AUTHOR), Moroni, Davide1 (AUTHOR), Martinelli, Massimo1 (AUTHOR) massimo.martinelli@isti.cnr.it
Publikováno v:
Expert Systems. Jan2025, Vol. 42 Issue 1, p1-12. 12p.