Zobrazeno 1 - 10
of 335
pro vyhledávání: '"Faris, Hossam"'
The Covid-19 pandemic has led to an increase in the awareness of and demand for telemedicine services, resulting in a need for automating the process and relying on machine learning (ML) to reduce the operational load. This research proposes a specia
Externí odkaz:
http://arxiv.org/abs/2402.14039
Advanced modern technology and industrial sustainability theme have contributed implementing composite materials for various industrial applications. Green composites are among the desired alternatives for the green products. However, to properly con
Externí odkaz:
http://arxiv.org/abs/2404.07213
Knowledge Graphs (KGs) have gained considerable attention recently from both academia and industry. In fact, incorporating graph technology and the copious of various graph datasets have led the research community to build sophisticated graph analyti
Externí odkaz:
http://arxiv.org/abs/2006.01626
Publikováno v:
Journal of Software Engineering and Applications, 8, 133-142 (2018)
Software development effort estimation is considered a fundamental task for software development life cycle as well as for managing project cost, time and quality. Therefore, accurate estimation is a substantial factor in projects success and reducin
Externí odkaz:
http://arxiv.org/abs/1903.02079
Publikováno v:
International Journal of Control and Automation, 11(11), 29-42
Robotic systems have been evolving since decades and touching almost all aspects of life, either for leisure or critical applications. Most of traditional robotic systems operate in well-defined environments utilizing pre-configured on-board processi
Externí odkaz:
http://arxiv.org/abs/1901.03297
With the emergence of Web 2.0 technology and the expansion of on-line social networks, current Internet users have the ability to add their reviews, ratings and opinions on social media and on commercial and news web sites. Sentiment analysis aims to
Externí odkaz:
http://arxiv.org/abs/1809.02782
Autor:
Alomari, Alaa1,2 (AUTHOR) omari@correo.ugr.es, Faris, Hossam1,2 (AUTHOR), Castillo, Pedro A.1 (AUTHOR)
Publikováno v:
PLoS ONE. 11/16/2023, Vol. 18 Issue 11, p1-17. 17p.
Autor:
Sharma, Lakhan Dev, Bohat, Vijay Kumar, Habib, Maria, Al-Zoubi, Ala’ M., Faris, Hossam, Aljarah, Ibrahim
Publikováno v:
In Expert Systems With Applications 1 July 2022 197
Publikováno v:
In Heliyon June 2022 8(6)
Autor:
Hijawi, Wadi', Faris, Hossam, Alqatawna, Ja'far, Aljarah, Ibrahim, Al-Zoubi, Ala' M., Habib, Maria
EMFET is an open source and flexible tool that can be used to extract a large number of features from any email corpus with emails saved in EML format. The extracted features can be categorized into three main groups: header features, payload (body)
Externí odkaz:
http://arxiv.org/abs/1711.08521