Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Daniele Toti"'
Autor:
Anne De Baas, Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Ilaria Maria Paponetti, Andrea Pozzi, Arkopaul Sarkar, Lan Yang, Francesco Antonio Zaccarini, Daniele Toti
Publikováno v:
IEEE Access, Vol 11, Pp 120372-120401 (2023)
The growing complexity and interdisciplinary nature of Materials Science research demand efficient data management and exchange through structured knowledge representation. Domain-Level Ontologies (DLOs) for Materials Science have emerged as a valuab
Externí odkaz:
https://doaj.org/article/ef92ce8ad85a4d2fb4477a64b2cdfdcd
Autor:
Andrea Pozzi, Daniele Toti
Publikováno v:
IEEE Access, Vol 11, Pp 115190-115203 (2023)
This work presents a novel approach to the challenge of battery charging under real-world constraints, related to uncertainties in system parameters and unmeasurable internal states of batteries. By leveraging the imitation learning paradigm, this st
Externí odkaz:
https://doaj.org/article/4cffea84d58c456ea9f2daa55cbacc87
Publikováno v:
Sensors, Vol 23, Iss 9, p 4404 (2023)
This work investigates the effectiveness of deep neural networks within the realm of battery charging. This is done by introducing an innovative control methodology that not only ensures safety and optimizes the charging current, but also substantial
Externí odkaz:
https://doaj.org/article/9bad5210b7d04372aaaca91eb9b500c9
Publikováno v:
Informatics, Vol 10, Iss 1, p 5 (2023)
In the last decade, the techniques of news aggregation and summarization have been increasingly gaining relevance for providing users on the web with condensed and unbiased information. Indeed, the recent development of successful machine learning al
Externí odkaz:
https://doaj.org/article/9e19669ad48946d8b790dca2ade3d825
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4619 (2022)
The development of algorithms, based on machine learning techniques, supporting (or even replacing) human judgment must take into account concepts such as data bias and fairness. Though scientific literature proposes numerous techniques to detect and
Externí odkaz:
https://doaj.org/article/6a3463f63ee0417a8054d447cf3a9f0b
Publikováno v:
International Journal of Molecular Sciences, Vol 21, Iss 24, p 9548 (2020)
Motivation: Bringing a new drug to the market is expensive and time-consuming. To cut the costs and time, computer-aided drug design (CADD) approaches have been increasingly included in the drug discovery pipeline. However, despite traditional dockin
Externí odkaz:
https://doaj.org/article/cf21d71a44344560b3e20a9064814ca3
Publikováno v:
International Journal of Molecular Sciences, Vol 20, Iss 10, p 2499 (2019)
In this work, the information contained in the contacts between fragments of small-molecule ligands and protein residues has been collected and its exploitability has been verified by using the scoring of docking simulations as a test case for bringi
Externí odkaz:
https://doaj.org/article/bc9114e083624efc832d3cfb4a22ebb6
Publikováno v:
Innovative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education ISBN: 9783031215681
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286e5adf38d271a91d83b2be51d4890e
https://hdl.handle.net/10807/229290
https://hdl.handle.net/10807/229290
This work presents Fragment Graph DataBase (FGDB), a graph database of ligand fragments extracted and generated from the protein entries available in the Protein Data Bank (PDB). FGDB is meant to support and elicit campaigns of fragment-based drug de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7a698ba3612ace59959119dca58cbf1
https://hdl.handle.net/10807/215305
https://hdl.handle.net/10807/215305
Publikováno v:
Applied Ontology Journal
The field of materials characterisation encompasses a wide range of methods and related research communities. This has led to a proliferation of terminologies and data management approaches, hindering collaboration and interoperability. In this work,