Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Vasile, Stoicu Tivadar"'
Publikováno v:
Applied Medical Informatics, Vol 40, Iss 1-2, Pp 15-23 (2018)
This paper presents a computer model for the assessment of the similarity between two sound patterns, to identify phoneme mispronunciations circumscribed by dyslalic disorders in early school-age children (6-10 year olds). From a linguistic standpoin
Externí odkaz:
https://doaj.org/article/37acd22dbb724a559b2cf088ef0a5a42
Autor:
Vasile STOICU-TIVADAR
Publikováno v:
Applied Medical Informatics, Vol 43, Iss Suppl. S1, Pp 38-38 (2021)
This paper presents several considerations about teaching Project Management for Digital Health (PMDH) for the students of Digital Health Master Program, in Politehnica University Timisoara. The introductory part briefly describes the specific of dig
Externí odkaz:
https://doaj.org/article/9c27f4f631f4427482b3c024ef283280
Autor:
Darius TURCIAN, Vasile STOICU-TIVADAR
Publikováno v:
Applied Medical Informatics, Vol 43, Iss Suppl. S1, Pp 18-18 (2021)
Machine Learning may have huge benefits for the medical practice. The problem with accepting the machine learning olutions is that it is difficult for the medical staff to understand their decision and because of this they are not able to trust them
Externí odkaz:
https://doaj.org/article/9e50225c3e924a7a8e65d4a2200f37c9
Publikováno v:
Applied Medical Informatics, Vol 41, Iss Suppl. 1 (2019)
With the development of Internet of Things (IoT), the medical data monitoring procedures start to implement the online and real-time data collection using specific IoT type procedures. There are many projects developed in health using IoT dedicated t
Externí odkaz:
https://doaj.org/article/c3bc44bc1e624e32a44be876aaa4c303
Autor:
Vasile STOICU-TIVADAR
Publikováno v:
Applied Medical Informatics, Vol 41, Iss Suppl. 1 (2019)
This paper presents a point of view based on the experience of didactical activities for IT engineering students, in Politehnica University Timisoara. The introductory part briefly describes the specific of digital health projects. It is obvious that
Externí odkaz:
https://doaj.org/article/3bd3639149704c919e66ef4580b6c9e0
Publikováno v:
Applied Medical Informatics, Vol 41, Iss Suppl. 1 (2019)
This paper presents a controlled experiment focused on the entropy-based discrimination of mispronunciations of logatomes (monosyllabic pseudowords). The introductory part briefly describes the related symptomology and the current challenges posed by
Externí odkaz:
https://doaj.org/article/960a8de3ce9d42d3ba8b1c432fd734b2
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-processing stage of the algorithm us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f764f622d1acc898b3bc9467f657f6be
https://doi.org/10.3233/shti220500
https://doi.org/10.3233/shti220500
Publikováno v:
Studies in health technology and informatics. 294
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-processing stage of the algorithm us
Publikováno v:
Studies in health technology and informatics. 289
With the increase in computing power and the development of numerous technological devices that facilitate remote work, the involvement of artificial intelligence in medicine has seen a significant increase to help the doctor make decisions and inter
Autor:
Darius Turcian, Vasile Stoicu-Tivadar
With the increase in computing power and the development of numerous technological devices that facilitate remote work, the involvement of artificial intelligence in medicine has seen a significant increase to help the doctor make decisions and inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f20c654c6875e3e617f6044d0858186
https://doi.org/10.3233/shti210896
https://doi.org/10.3233/shti210896