Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Arwa Wali"'
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111045- (2024)
Marketers use digital marketing to influence purchasing intentions and decisions, and have recently focused on millennials and generation Z. Several studies have examined the influence of digital marketing on purchasing intentions, which largely depe
Externí odkaz:
https://doaj.org/article/c5fd9851f1e0498fb0041cb32d61d196
Publikováno v:
Telematics and Informatics Reports, Vol 15, Iss , Pp 100153- (2024)
Technology has a significant role in improving medical care, such as enhancing communication between patients and healthcare virtual assistants. By including artificial intelligence and natural language processing (NLP), the main aim of this research
Externí odkaz:
https://doaj.org/article/d7441f15084b4e16aadde98c467db8c4
Autor:
Arwa Wali, Fatimah Alshehry
Publikováno v:
Computers, Vol 13, Iss 4, p 97 (2024)
Supervisory control and data acquisition (SCADA) systems enable industrial organizations to control and monitor real-time data and industrial processes. Migrating SCADA systems to cloud environments can enhance the performance of traditional systems
Externí odkaz:
https://doaj.org/article/fb14c65ddd3a423bbc0eedea1abd6f68
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 2651-2665 (2022)
Abstractive text summarisation is essential to producing natural language summaries with main ideas from large text documents. Despite the success of English language-based abstractive text summarisation models in the literature, they are limitedly s
Externí odkaz:
https://doaj.org/article/0cb7e78f093f45fca7da057e506fb3cb
Autor:
Arwa Wali
Supervisory control and data acquisition (SCADA) systems allow industrial organizations to control and monitor real-time data and industrial processes. Moving SCADA systems to the cloud environments can improve the performance of traditional SCADA sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a2e2bb00ff5fed77561ee1662138b3a
https://doi.org/10.36227/techrxiv.20291835.v1
https://doi.org/10.36227/techrxiv.20291835.v1
