Zobrazeno 1 - 10
of 7 566
pro vyhledávání: '"Apostol BE"'
Publikováno v:
IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2024)
With the emergence of social networks, online platforms dedicated to different use cases, and sensor networks, the emergence of large-scale graph community detection has become a steady field of research with real-world applications. Community detect
Externí odkaz:
http://arxiv.org/abs/2408.03966
The healthcare environment is commonly referred to as "information-rich" but also "knowledge poor". Healthcare systems collect huge amounts of data from various sources: lab reports, medical letters, logs of medical tools or programs, medical prescri
Externí odkaz:
http://arxiv.org/abs/2401.10850
The phenomenon of Gravitational Wave (GW) analysis has grown in popularity as technology has advanced and the process of observing gravitational waves has become more precise. Although the sensitivity and the frequency of observation of GW signals ar
Externí odkaz:
http://arxiv.org/abs/2311.02106
Detecting out of policy speech (OOPS) content is important but difficult. While machine learning is a powerful tool to tackle this challenging task, it is hard to break the performance ceiling due to factors like quantity and quality limitations on t
Externí odkaz:
http://arxiv.org/abs/2310.15019
Autor:
Apostol, Marian
In certain conditions a macroscopic quantum-mechanical scattering may occur, which may lead to a coherent cross-section on a macroscopic scale in a monocrystal. The conditions are satisfied by neutrinos, but not satisfied by other projectiles, with a
Externí odkaz:
http://arxiv.org/abs/2310.03315
Autor:
Apostol, Marian
In fairly general conditions we give explicit (smooth) solutions for the potential flow. We show that, rigorously speaking, the equations of the fluid mechanics have not rotational solutions. However, within the usual approximations of an incompressi
Externí odkaz:
http://arxiv.org/abs/2309.11115
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 3, Pp 105-116 (2024)
For a large number of citizens dealing with public authorities can feel like a harrowing experience. With a large amount of bureaucracy and ever-changing rules and procedures, it can be quite confusing for people to achieve their goals. The aim of th
Externí odkaz:
https://doaj.org/article/ef0ee449633244609a6e21171d9fa25a
Automatic semantic change methods try to identify the changes that appear over time in the meaning of words by analyzing their usage in diachronic corpora. In this paper, we analyze different strategies to create static and contextual word embedding
Externí odkaz:
http://arxiv.org/abs/2308.12131
The increasing volume of online reviews has made possible the development of sentiment analysis models for determining the opinion of customers regarding different products and services. Until now, sentiment analysis has proven to be an effective too
Externí odkaz:
http://arxiv.org/abs/2307.15920
Automatic Term Recognition is used to extract domain-specific terms that belong to a given domain. In order to be accurate, these corpus and language-dependent methods require large volumes of textual data that need to be processed to extract candida
Externí odkaz:
http://arxiv.org/abs/2305.16343