Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Sabina-Cristiana Necula"'
Autor:
Sabina-Cristiana Necula
Publikováno v:
Energies, Vol 16, Iss 22, p 7633 (2023)
This systematic review investigates the role of artificial intelligence (AI) in advancing clean energy technologies within Europe, based on a literature survey from 2006 to 2023. The assessment reveals that AI, particularly through deep learning and
Externí odkaz:
https://doaj.org/article/5e6dd3120979409cb2174f4b025e148d
Autor:
Sabina-Cristiana Necula
Publikováno v:
Behavioral Sciences, Vol 13, Iss 6, p 439 (2023)
In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavior, our res
Externí odkaz:
https://doaj.org/article/014b070b770c40ed8671c6199c01648b
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5531 (2023)
Electronic commerce has a strong connection with recommendation processes. There are various forms of recommendations, ranging from virtual assistants to online suggestions made in real time. Different algorithms and technologies are utilized for eac
Externí odkaz:
https://doaj.org/article/910c71b6b42d43d7bff2b5eb6334b5bf
Autor:
Sabina-Cristiana NECULA
Publikováno v:
Informatică economică, Vol 24, Iss 4, Pp 72-84 (2020)
We report a survey on the actual state of the art about semantic web and its applications. Semantic Web plays a major role in integrating data, especially open data, publicly available on the Internet. We reviewed scientifically research papers, stud
Externí odkaz:
https://doaj.org/article/984065d87b6c40ed91d8cfe7b782355b
Publikováno v:
Informatică economică, Vol 23, Iss 4, Pp 5-16 (2019)
The scientific literature has paid limited attention to studying software complexity subjects from the design point of view. There is a significant number of papers that study software complexity in relation with maintenance, refactoring, source code
Externí odkaz:
https://doaj.org/article/b36047171c3545609e81934599c4d425
Autor:
Sabina-Cristiana NECULA
Publikováno v:
Informatică economică, Vol 21, Iss 4, Pp 73-84 (2017)
This paper presents an experiment of using deep learning models for distribution channel management. We present an approach that combines self-organizing maps with artificial neural network with multiple hidden layers in order to identify the potenti
Externí odkaz:
https://doaj.org/article/34b5ddd41aa144069698ffc11060bf53
Autor:
Sabina-Cristiana NECULA
Publikováno v:
Informatică economică, Vol 19, Iss 4, Pp 43-54 (2015)
This paper presents a solution for public education services. The problem: although there is sufficiently publicly available data, this data is not available in an open standard format and frequently it comes from heterogeneous data sources. Our main
Externí odkaz:
https://doaj.org/article/ae2a13d8ef274185a9ee5483bd39774e
Autor:
Sabina-Cristiana Necula
Publikováno v:
Data, Vol 4, Iss 2, p 70 (2019)
The goal of this paper is to discuss the necessity of separating decision rules from domain model implementation. (1) Background: can rules help to discover hidden connections between data? We propose a separated implementation of decision rules on d
Externí odkaz:
https://doaj.org/article/fd2a06b9edf449adb07b9c25d299cdc5
Autor:
Sabina Cristiana Necula
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d7920d88d8670b9e41cde242a72ebe1
https://doi.org/10.2139/ssrn.4315736
https://doi.org/10.2139/ssrn.4315736
Autor:
Sabina Cristiana Necula
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44942211b1b2744d9e19bcfc9d2601b4
https://doi.org/10.2139/ssrn.4315732
https://doi.org/10.2139/ssrn.4315732