Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Muneer Alotaibi"'
Autor:
Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Mona Mohammed Alnahari, Reemiah Muneer Alotaibi
Publikováno v:
IEEE Access, Vol 12, Pp 103176-103191 (2024)
Automatic movie genre detection is vital for improving content recommendations, user experiences, and organization. Multi-label generation detection assigns multiple labels to a movie and recognizes a movie’s diverse themes. Although there are many
Externí odkaz:
https://doaj.org/article/9ae4b82b9b874562b99301c021dc9333
Autor:
Wang Jian, Jian Ping Li, Muhammad Atif Akbar, Amin Ul Haq, Shakir Khan, Reemiah Muneer Alotaibi, Saad Abdullah Alajlan
Publikováno v:
IEEE Access, Vol 12, Pp 48436-48452 (2024)
Detecting fake news is increasingly crucial in the digital age as social platforms and online news outlets amplify the spread of misinformation. This study proposes a novel approach for fake news detection using a Bi-LSTM neural network with an atten
Externí odkaz:
https://doaj.org/article/c4f80b6ef9f34eb0b886140d180e0c34
Autor:
Wang Jian, Jian Ping Li, Amin Ul Haq, Shakir Khan, Reemiah Muneer Alotaibi, Saad Abdullah Alajlan, Md Belal Bin Heyat
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionHeart disease remains a complex and critical health issue, necessitating accurate and timely detection methods.MethodsIn this research, we present an advanced machine learning system designed for efficient and precise diagnosis of cardiac
Externí odkaz:
https://doaj.org/article/9cba05e87f7c4d688510bb59e1fa5dfd
Autor:
Sara Ejaz, Raheel Baig, Zeeshan Ashraf, Mrim M Alnfiai, Mona Mohammed Alnahari, Reemiah Muneer Alotaibi
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307317 (2024)
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Qu
Externí odkaz:
https://doaj.org/article/308e47383a2b4ecbac6bda379fc76110
Autor:
Mohd Fazil, Shakir Khan, Bader M. Albahlal, Reemiah Muneer Alotaibi, Tamanna Siddiqui, Mohd Asif Shah
Publikováno v:
IEEE Access, Vol 11, Pp 16801-16811 (2023)
Online social networks(OSNs) facilitate their users in real-time communication but also open the door for several challenging problems like hate speech and fake news. This study discusses hate speech on OSNs and presents an automatic method to identi
Externí odkaz:
https://doaj.org/article/7bb74da4470d4e17b2a55690db3fe11e
Autor:
Amin ul Haq, Jian Ping Li, Shakir Khan, Mohammed Ali Alshara, Reemiah Muneer Alotaibi, CobbinahBernard Mawuli
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The classification of brain tumors (BT) is significantly essential for the diagnosis of Brian cancer (BC) in IoT-healthcare systems. Artificial intelligence (AI) techniques based on Computer aided diagnostic systems (CADS) are mostly used fo
Externí odkaz:
https://doaj.org/article/714a91db21b4407a88e14a08f098ee64
Autor:
Shakir Khan, Mohd Fazil, Vineet Kumar Sejwal, Mohammed Ali Alshara, Reemiah Muneer Alotaibi, Ashraf Kamal, Abdul Rauf Baig
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 7, Pp 4335-4344 (2022)
Online social networks(OSNs) face the challenging problem of hate speech, which should be moderated for the growth of OSNs. The machine learning approaches dominate the existing set of approaches for hate speech detection. In this study, we introduce
Externí odkaz:
https://doaj.org/article/60ea4d1c54b344fa8f2fec6d0c335dca
Autor:
Moeen Tayyab, Ayyaz Hussain, Mohammed Ali Alshara, Shakir Khan, Reemiah Muneer Alotaibi, Abdul Rauf Baig
Publikováno v:
IEEE Access, Vol 10, Pp 59189-59204 (2022)
News ticker recognition is a vital area of research due to its applications such as information analysis, opinion mining and language translation for media regulatory authorities. Without automated systems, manual anatomizing is difficult. In this pa
Externí odkaz:
https://doaj.org/article/508dc7e4a56b4403956be47eceb638d7
Autor:
Shakir Khan, Ashraf Kamal, Mohd Fazil, Mohammed Ali Alshara, Vineet Kumar Sejwal, Reemiah Muneer Alotaibi, Abdul Rauf Baig, Salihah Alqahtani
Publikováno v:
IEEE Access, Vol 10, Pp 7881-7894 (2022)
Adversaries and anti-social elements have exploited the rapid proliferation of computing technology and online social media in the form of novel security threats, such as fake profiles, hate speech, social bots, and rumors. The hate speech problem on
Externí odkaz:
https://doaj.org/article/1d97048da32849e983273e8967c4374b
Autor:
Amin Ul Haq, Jian Ping Li, Sultan Ahmad, Shakir Khan, Mohammed Ali Alshara, Reemiah Muneer Alotaibi
Publikováno v:
Sensors, Vol 21, Iss 24, p 8219 (2021)
COVID-19 is a transferable disease that is also a leading cause of death for a large number of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and quickly affects the respiratory system of the human being. Therefore, it is
Externí odkaz:
https://doaj.org/article/7d9fe13fa363498e9638a1b42514245d