Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fatima N. Al-Aswadi"'
Autor:
Mohammed Sultan Mohammed, Ahlam Al-Dhamari, Waddah Saeed, Fatima N. Al-Aswadi, Sami Abdulla Mohsen Saleh, M. N. Marsono
Publikováno v:
IEEE Access, Vol 11, Pp 119659-119675 (2023)
Analyzing crowded environments has become an increasingly researched topic in computer vision community, largely due to its myriad practical applications, including enhanced video surveillance systems and the estimation of crowd density in specific s
Externí odkaz:
https://doaj.org/article/693cdcc240174f4aaddd4d24e2e29696
Publikováno v:
International Journal of Information Science and Management, Vol 20, Iss 4, Pp 87-102 (2022)
Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these factors, foreig
Externí odkaz:
https://doaj.org/article/00ff681fd28543b7bf6488e014ad47fb
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6635-6642
Superior stemming algorithms aid significantly in many natural language processing (NLP) applications such as information retrieval. Arabic light-based stemmer is one of the most important stemming algorithms. However, partially due to the highly inf
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6505-6523
Publikováno v:
Soft Computing. 25:8337-8355
With the extensive growth of data that has been joined with the thriving development of the Internet in this century, finding or getting valuable information and knowledge from these huge noisy data became harder. The Concept of Knowledge Graph (KG)
Publikováno v:
Information Processing & Management. 60:103140
Publikováno v:
Knowledge Graphs and Semantic Web ISBN: 9783031214219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d51095dcb742e0ec94eefca5932336f
https://doi.org/10.1007/978-3-031-21422-6_25
https://doi.org/10.1007/978-3-031-21422-6_25
Publikováno v:
Artificial Intelligence Review. 53:3901-3928
The explosive growth of textual data on the web coupled with the increase on demand for ontologies to promote the semantic web, have made the automatic ontology construction from the text a very promising research area. Ontology learning (OL) from te
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783030707125
With the large volume of unstructured data that increases constantly on the web, the motivation of representing the knowledge in this data in the machine-understandable form is increased. Ontology is one of the major cornerstones of representing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::809fafac9e0d8eb7099b6e0ea09ce3f6