Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Rabeeh Ayaz Abbasi"'
Autor:
Zubaida Jastania, Rabeeh Ayaz Abbasi, Muhammad Ahtisham Aslam, Tariq Jamil Saifullah Khanzada, Khawaja Moyeezullah Ghori
Publikováno v:
IEEE Access, Vol 10, Pp 4739-4749 (2022)
Twitter has become a common place to share opinions about various issues. One such issue was the driving of women in the Kingdom of Saudi Arabia (KSA). Many researchers have addressed this issue using methods mostly from social sciences, however, the
Externí odkaz:
https://doaj.org/article/986ad52a6a4e470ea9ad68d15c2ca698
Autor:
Afnan Muhammadsalh Alsukhayri, Muhammad Ahtisham Aslam, Imtiaz Hussain Khan, Rabeeh Ayaz Abbasi, Amal Babour
Publikováno v:
IEEE Access, Vol 10, Pp 50548-50561 (2022)
Background: The trend in producing linked open data to publish high-quality interlinked data has gained widespread traction in recent years. Various sectors are producing linked open data to increase public access and ensure transparency, in addition
Externí odkaz:
https://doaj.org/article/9564b1aa31cc47f583caf06ab187edb2
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0287502 (2023)
Software engineering artifact extraction from natural language requirements without human intervention is a challenging task. Out of these artifacts, the use case plays a prominent role in software design and development. In the literature, most of t
Externí odkaz:
https://doaj.org/article/4ee7cc4ddb574fb6856984c847dc2378
Publikováno v:
IEEE Access, Vol 8, Pp 4870-4884 (2020)
Sentiment classification is an active area of research with applications in many domains. Many researchers in the past have proposed techniques to identify sentiments with reasonable accuracy. However, the focus is more on the syntactic and semantic
Externí odkaz:
https://doaj.org/article/924b5ed94a40446e9a3b6c66fc27de49
Autor:
Bashayer Alotaibi, Rabeeh Ayaz Abbasi, Muhammad Ahtisham Aslam, Kawther Saeedi, Dimah Alahmadi
Publikováno v:
IEEE Access, Vol 8, Pp 10718-10730 (2020)
Social Media (SM) platforms, particularly Twitter, have become useful tools for startup companies (henceforth startups) which use the latter to support most of their business activities. As a result, there is a need to gauge the performance of specif
Externí odkaz:
https://doaj.org/article/5ffa8941f0c44f2a8ce5537ddb26e9bb
Autor:
Khawaja Moyeezullah Ghori, Rabeeh Ayaz Abbasi, Muhammad Awais, Muhammad Imran, Ata Ullah, Laszlo Szathmary
Publikováno v:
IEEE Access, Vol 8, Pp 16033-16048 (2020)
With the ever-growing demand of electric power, it is quite challenging to detect and prevent Non-Technical Loss (NTL) in power industries. NTL is committed by meter bypassing, hooking from the main lines, reversing and tampering the meters. Manual o
Externí odkaz:
https://doaj.org/article/083a563b24aa4d418c2aded25e6921c4
Autor:
Malik Khizar Hayat, Ali Daud, Abdulrahman A. Alshdadi, Ameen Banjar, Rabeeh Ayaz Abbasi, Yukun Bao, Hussain Dawood
Publikováno v:
IEEE Access, Vol 7, Pp 36958-36979 (2019)
Deep learning (DL) has attracted increasing attention on account of its significant processing power in tasks, such as speech, image, or text processing. In order to the exponential development and widespread availability of digital social media (SM)
Externí odkaz:
https://doaj.org/article/bfea61825eeb479c841a92a7ab5e3248
Publikováno v:
Computers, Materials & Continua. 67:2203-2225
Autor:
Hassan Dawood, Malik Khizar Hayat, Rabeeh Ayaz Abbasi, Anwar Ghani, Tehmina Amjad, Min Song, Ali Daud
Publikováno v:
Scientometrics. 124:633-661
Finding rising stars (FRS) is a hot research topic investigated recently for diverse application domains. These days, people are more interested in finding people who will become experts shortly to fill junior positions than finding existing experts
Publikováno v:
Scientometrics. 122:915-932
In bibliometric and scientometric research, the quantitative assessment of scientific impact has boomed over the past few decades. Citations, being playing a major role in enhancing the impact of researchers, have become a very significant part of a