Zobrazeno 1 - 10
of 318
pro vyhledávání: '"Innab A"'
Autor:
Abdulbasid Banga, Nadeem Iqbal, Atif Ikram, Nisreen Innab, Ala Saleh Alluhaidan, Bassam Mohammad ElZaghmouri, Hossam Diab
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract In the contemporary landscape of smart cities, ensuring the security and confidentiality of transmitted data has become paramount. The proliferation of Internet of Things (IoT) devices, mobile communication platforms, and wireless sensor net
Externí odkaz:
https://doaj.org/article/1f2c3ed078b64c8c8c9d14885338e9c9
Autor:
Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Vaccine acceptance is a crucial component of a viable immunization program in healthcare system, yet the disparities in new and existing vaccination adoption rates prevail across regions. Disparities in the rate of vaccine acceptance result
Externí odkaz:
https://doaj.org/article/69bf8eee96f543a58b420003594a2227
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 4851-4861 (2024)
Ashraf A’aqoulah,1,2 Samir Albalas,3 Mustafa Albalas,4 Raghad Abdullah Alherbish,5 Nisreen Innab6 1Department of Public Health, College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi A
Externí odkaz:
https://doaj.org/article/9e94280b60e9421fa5a01a986617ad39
Autor:
Mohammad K. Alharbi, Wajid Syed, Adnan Innab, Mahmood Basil A. Al-Rawi, Ahmed Alsadoun, Adel Bashatah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract With growing technology, it’s easier for students to accomplish their assignments with little or no effort. This study assesses attitudes, opinions, perceptions, and perceived obstacles regarding ChatGPT among healthcare students at King S
Externí odkaz:
https://doaj.org/article/8fdae5da7cc2454dab12f8e51a23440d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract To identify patterns in big medical datasets and use Deep Learning and Machine Learning (ML) to reliably diagnose Cardio Vascular Disease (CVD), researchers are currently delving deeply into these fields. Training on large datasets and produ
Externí odkaz:
https://doaj.org/article/de6c13eb9f5b489ba7d2b1fb9f4f6f9d
Autor:
Adnan Innab, Ali Kerari
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Background The number of instruments available for measuring diabetes self-management activities in Arabic countries has been limited to date. To our knowledge, no multidimensional instrument suitable for measuring diabetes self-management i
Externí odkaz:
https://doaj.org/article/1a8d17530bdc4df59d959226b24bb2cf
Autor:
In-seop Na, Asma Aldrees, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Dina Abdulaziz AlHammadi, Shtwai Alsubai, Nisreen Innab, Imran Ashraf
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Facial emotion recognition (FER) can serve as a valuable tool for assessing emotional states, which are often linked to mental health. However, mental health encompasses a broad range of factors that go beyond facial expressions. While FER provides i
Externí odkaz:
https://doaj.org/article/d1880bb29cd94e93bace04c34157eeca
Publikováno v:
SLAS Technology, Vol 29, Iss 6, Pp 100203- (2024)
Predictive modeling is becoming increasingly popular in the context of early disease detection. The use of machine learning approaches for predictive modeling can help early detection of diseases thereby enabling medical experts to appropriate medica
Externí odkaz:
https://doaj.org/article/c82e24f430794fb9afdda93169186172
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Addressing the pressing challenge of insurance fraud, which significantly impacts financial losses and trust within the insurance industry, this study introduces an innovative automated detection system utilizing ensemble machine learning (EML) algor
Externí odkaz:
https://doaj.org/article/d2a6c02cca974875b04327043170c777
Autor:
Tae-hoon Kim, Mobeen Shahroz, Bayan Alabdullah, Nisreen Innab, Jamel Baili, Muhammad Umer, Fiaz Majeed, Imran Ashraf
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Leaf disease detection is critical in agriculture, as it directly impacts crop health, yield, and quality. Early and accurate detection of leaf diseases can prevent the spread of infections, reduce the need for chemical treatments, and minimize crop
Externí odkaz:
https://doaj.org/article/bae7b450fb8a48b58b871e47352dfcbe