Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Manal Mostafa Ali"'
Publikováno v:
Bioinformatics and Biology Insights, Vol 18 (2024)
Gait analysis serves as a critical diagnostic tool for identifying neurologic and musculoskeletal damage. Traditional manual analysis of motion data, however, is labor-intensive and heavily reliant on the expertise and judgment of the therapist. This
Externí odkaz:
https://doaj.org/article/a234f4d84c494268840043bd2be7c3bc
Autor:
Manal Mostafa Ali
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1375-1388 (2023)
Abstract Human monitoring of surveillance cameras for anomaly detection may be a monotonous task as it requires constant attention to judge if the captured activities are anomalous or suspicious. This paper exploits background subtraction (BS), convo
Externí odkaz:
https://doaj.org/article/e27b0895f8984749b0e60d8e559811b0
Autor:
Manal Mostafa Ali
Publikováno v:
IET Image Processing. 17:1375-1388
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1cab5be16278fe1a94d320a167aab8f
https://doi.org/10.1049/ipr2.12720
https://doi.org/10.1049/ipr2.12720
Autor:
Manal Mostafa Ali
Publikováno v:
International Journal of Artificial Intelligence & Applications. 10:25-37
This paper presents an automatic method for extracting, processing, and analysis of customer opinions on Arabic social media. We present a four-step approach for mining of Arabic tweets. First, Natural Language Processing (NLP) with different types o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bf3c03eb1351febeb8816c937d27f5
https://doi.org/10.5121/ijaia.2019.10503
https://doi.org/10.5121/ijaia.2019.10503
Autor:
Manal Mostafa Ali
This paper presents an automatic method for extracting, processing, and analysis of customer opinions on Arabic social media. We present a four-step approach for mining of Arabic tweets. First, Natural Language Processing (NLP) with different types o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db1f4ca33f5503139fb6ed86f1e4152
