Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Lerina Aversano"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2232 (2024)
In the context of smart health, the use of wearable Internet of Things (IoT) devices is becoming increasingly popular to monitor and manage patients’ health conditions in a more efficient and personalized way. However, choosing the most suitable ar
Externí odkaz:
https://doaj.org/article/8c32460465eb403c81f61f44ee37f06b
Publikováno v:
Sensors, Vol 24, Iss 11, p 3485 (2024)
Cardiopathy has become one of the predominant global causes of death. The timely identification of different types of heart diseases significantly diminishes mortality risk and enhances the efficacy of treatment. However, fast and efficient recogniti
Externí odkaz:
https://doaj.org/article/79b175929afa45b7a1b4d60c409435c2
Publikováno v:
PeerJ Computer Science, Vol 9, p e1394 (2023)
The use of artificial intelligence approaches in health-care systems has grown rapidly over the last few years. In this context, early detection of diseases is the most common area of application. In this scenario, thyroid diseases are an example of
Externí odkaz:
https://doaj.org/article/d67572a3e457437eb385a1c7886f5a3a
Publikováno v:
Journal of Universal Computer Science, Vol 28, Iss 3, Pp 311-328 (2022)
In agriculture, given the global water scarcity, optimizing the irrigation system have become a key requisite of any semi-automatic irrigation scheduling system. Using efficient assessment methods for crop water stress allows reduced water consumptio
Externí odkaz:
https://doaj.org/article/9000d633235947f1a58b15d168f1060b
Autor:
Concetta Esposito, Mohammed Janneh, Sara Spaziani, Vincenzo Calcagno, Mario Luca Bernardi, Martina Iammarino, Chiara Verdone, Maria Tagliamonte, Luigi Buonaguro, Marco Pisco, Lerina Aversano, Andrea Cusano
Publikováno v:
Cells, Vol 12, Iss 22, p 2645 (2023)
We investigated the possibility of using Raman spectroscopy assisted by artificial intelligence methods to identify liver cancer cells and distinguish them from their Non-Tumor counterpart. To this aim, primary liver cells (40 Tumor and 40 Non-Tumor
Externí odkaz:
https://doaj.org/article/63cad3ea7059479892dbaeae1c26079a
Publikováno v:
PeerJ Computer Science, Vol 7, p e525 (2021)
During the last years, several studies have been proposed about user identification by means of keystroke analysis. Keystroke dynamics has a lower cost when compared to other biometric-based methods since such a system does not require any additional
Externí odkaz:
https://doaj.org/article/ab752d6dceb942bfb02bfc57a63d1300
Autor:
Giuseppe Fusco, Lerina Aversano
Publikováno v:
PeerJ Computer Science, Vol 6, p e254 (2020)
Integrating data from multiple heterogeneous data sources entails dealing with data distributed among heterogeneous information sources, which can be structured, semi-structured or unstructured, and providing the user with a unified view of these dat
Externí odkaz:
https://doaj.org/article/1acdb41b7b9540dd957b01a986ffd220
Publikováno v:
Algorithms, Vol 13, Iss 7, p 168 (2020)
The technical debt (TD) in a software project refers to the adoption of an inadequate solution from its design to the source code. When developers admit the presence of technical debt in the source code, through comments or commit messages, it is cal
Externí odkaz:
https://doaj.org/article/da9233e22f2b4bff965e670d648424d8
Publikováno v:
Information, Vol 11, Iss 7, p 348 (2020)
The evolution of software systems often leads to its architectural degradation due to the presence of design problems. In the literature, design smells have been defined as indicators of such problems. In particular, the presence of design smells cou
Externí odkaz:
https://doaj.org/article/6896908b5b044358b890f66dd8382bc6
Autor:
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
Publikováno v:
Higher Education Learning Methodologies and Technologies Online ISBN: 9783031297991
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95dfd8c0d728a5e01b8f26893e34d881
https://doi.org/10.1007/978-3-031-29800-4_41
https://doi.org/10.1007/978-3-031-29800-4_41
