Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Elena Simona Apostol"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 55, Iss , Pp 101728- (2024)
Network immunization is an automated task in the field of network analysis that involves protecting a network (modeled as a graph) from being infected by an undesired arbitrary diffusion. In this article, we consider the spread of harmful content in
Externí odkaz:
https://doaj.org/article/69c5230f73d44ee8ac4e606cb5aa7534
Publikováno v:
IEEE Access, Vol 9, Pp 76624-76641 (2021)
Topic modeling is a probabilistic graphical model for discovering latent topics in text corpora by using multinomial distributions of topics over words. Topic labeling is used to assign meaningful labels for the discovered topics. In this paper, we p
Externí odkaz:
https://doaj.org/article/12716b8994514c1bb13eec7f43da9e90
Publikováno v:
IEEE Access, Vol 9, Pp 162122-162146 (2021)
New mass media paradigms for information distribution have emerged with the digital age. With new digital-enabled mass media, the communication process is centered around the user, while multimedia content is the new identity of news. Thus, the media
Externí odkaz:
https://doaj.org/article/b8a1e434c6124d81a68d4c046e07e1dd
Publikováno v:
Sensors, Vol 22, Iss 7, p 2528 (2022)
In the context in which it was demonstrated that humanoid robots are efficient in helping children diagnosed with autism in exploring their affective state, this paper underlines and proves the efficiency of a previously developed machine learning-ba
Externí odkaz:
https://doaj.org/article/787af83d18b749f2bb066485a6b029bd
Publikováno v:
Mathematics, Vol 10, Iss 4, p 569 (2022)
Misinformation is considered a threat to our democratic values and principles. The spread of such content on social media polarizes society and undermines public discourse by distorting public perceptions and generating social unrest while lacking th
Externí odkaz:
https://doaj.org/article/5f3537fd60eb4df59abea120aa84bcee
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2722 (2021)
Document-level Sentiment Analysis is a complex task that implies the analysis of large textual content that can incorporate multiple contradictory polarities at the phrase and word levels. Most of the current approaches either represent textual data
Externí odkaz:
https://doaj.org/article/fcc251ef6f8741c1bd58e33288986d24
Text simplification (TS) is the process of generating easy-to-understand sentences from a given sentence or piece of text. The aim of TS is to reduce both the lexical (which refers to vocabulary complexity and meaning) and syntactic (which refers to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53371af6273f03dd57a4922515400eac
http://arxiv.org/abs/2304.07002
http://arxiv.org/abs/2304.07002
Publikováno v:
Water, Vol 13, Iss 12, p 1633 (2021)
Due to the exponential growth of the Internet of Things networks and the massive amount of time series data collected from these networks, it is essential to apply efficient methods for Big Data analysis in order to extract meaningful information and
Externí odkaz:
https://doaj.org/article/457ca3b716ec4b5a83d9f9b58be7dd3a
Publikováno v:
Mathematics; Volume 11; Issue 3; Pages: 508
With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress of the media brings many advantages, it also increases the risk of sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46fce323a74cc6b61ceccaff7875618c
Autor:
Alexandru Predescu, Ciprian-Octavian Truică, Elena-Simona Apostol, Mariana Mocanu, Ciprian Lupu
Publikováno v:
Mathematics, Vol 8, Iss 6, p 887 (2020)
Water distribution is fundamental to modern society, and there are many associated challenges in the context of large metropolitan areas. A multi-domain approach is required for designing modern solutions for the existing infrastructure, including co
Externí odkaz:
https://doaj.org/article/b1c96d25ae9a4d21bd6de42d48d310c5