Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Samir Rustamov"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e1974 (2024)
Background In the domain of natural language processing (NLP), the development and success of advanced language models are predominantly anchored in the richness of available linguistic resources. Languages such as Azerbaijani, which is classified as
Externí odkaz:
https://doaj.org/article/909f05feec014114ad944a771ec2bb64
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 479 (2022)
Topology optimization is a computationally expensive process, especially when complicated designs are studied, and this is mainly due to its finite element analysis and iterative solvers incorporated into the algorithm. In the current work, we invest
Externí odkaz:
https://doaj.org/article/23f8332cce5a4263ba9504b2dedf4b62
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10995 (2021)
Rapid increase in conversational AI and user chat data lead to intensive development of dialogue management systems (DMS) for various industries. Yet, for low-resource languages, such as Azerbaijani, very little research has been conducted. The main
Externí odkaz:
https://doaj.org/article/d05dbc042a2e40b69f9a3fcd60ab4bee
Publikováno v:
Symmetry, Vol 13, Iss 5, p 819 (2021)
This study concentrates on the investigation, development, and evaluation of Text-to-Speech Synthesis systems based on Deep Learning models for the Azerbaijani Language. We have selected and compared state-of-the-art models-Tacotron and Deep Convolut
Externí odkaz:
https://doaj.org/article/1766359c786447068c778abfa83a7d28
Publikováno v:
Symmetry, Vol 13, Iss 4, p 634 (2021)
In this paper, various methodologies of acoustic and language models, as well as labeling methods for automatic speech recognition for spoken dialogues in emergency call centers were investigated and comparatively analyzed. Because of the fact that d
Externí odkaz:
https://doaj.org/article/f15b60972a944b4f9ab6ab2aaa422369
Autor:
Samir Rustamov
Publikováno v:
Advances in Fuzzy Systems, Vol 2018 (2018)
We suggested different structured hybrid systems for the sentence-level subjectivity analysis based on three supervised machine learning algorithms, namely, Hidden Markov Model, Fuzzy Control System, and Adaptive Neuro-Fuzzy Inference System. The sug
Externí odkaz:
https://doaj.org/article/2b8d56f8ce8e4787a838bb678a4af8f7
Autor:
Samir Rustamov
Publikováno v:
European Journal of Business and Management Research. 8:284-290
Today, banks are developing very rapidly, the variety of products and services is increasing and the competition between banks is intensifying. Meeting the needs and expectations of customers arising from banking services is essential both to retain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::605f2418624bbe9923446b8e93c2148d
https://doi.org/10.24018/ejbmr.2023.8.1.1788
https://doi.org/10.24018/ejbmr.2023.8.1.1788
Publikováno v:
Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b3b5f53f14002c4212a676e89ce2d1
https://doi.org/10.1145/3582099.3582103
https://doi.org/10.1145/3582099.3582103
Publikováno v:
Applied Sciences, Vol 11, Iss 10995, p 10995 (2021)
Applied Sciences
Volume 11
Issue 22
Applied Sciences
Volume 11
Issue 22
Rapid increase in conversational AI and user chat data lead to intensive development of dialogue management systems (DMS) for various industries. Yet, for low-resource languages, such as Azerbaijani, very little research has been conducted. The main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b986211d7ea9b072db0aa325a4d8bd81
https://www.mdpi.com/2076-3417/11/22/10995
https://www.mdpi.com/2076-3417/11/22/10995
Publikováno v:
Symmetry; Volume 13; Issue 4; Pages: 634
Symmetry, Vol 13, Iss 634, p 634 (2021)
Symmetry, Vol 13, Iss 634, p 634 (2021)
In this paper, various methodologies of acoustic and language models, as well as labeling methods for automatic speech recognition for spoken dialogues in emergency call centers were investigated and comparatively analyzed. Because of the fact that d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17140bafe849005b77253ab539df98c6