Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Amelia Ritahani Ismail"'
Autor:
A. H. Alamoodi, B. B. Zaidan, O. S. Albahri, Salem Garfan, Ibraheem Y. Y. Ahmaro, R. T. Mohammed, A. A. Zaidan, Amelia Ritahani Ismail, A. S. Albahri, Fayiz Momani, Mohammed S. Al-Samarraay, Ali Najm Jasim, R.Q.Malik
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4705-4731 (2023)
Abstract When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic’s main scientific disciplines. For example, social scientists are concerned w
Externí odkaz:
https://doaj.org/article/942650e1db3944a1a9160b4f5251727d
Publikováno v:
Knowledge Engineering and Data Science, Vol 5, Iss 1, Pp 17-26 (2022)
• COVID-19 has been declared a pandemic in the world by 2020. One way to prevent COVID-19 disease, as the World Health Organization (WHO) suggests, is to keep a distance from other people. It is advised to stay at least 1 meter away from others, ev
Externí odkaz:
https://doaj.org/article/aa42eb2e536748a49f171cad49b1119f
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 8, Iss 1, Pp 115-134 (2022)
Particle swarm optimization (PSO) is a simple metaheuristic method to implement with robust performance. PSO is regarded as one of the numerous researchers' most well-studied algorithms. However, two of its most fundamental problems remain unresolved
Externí odkaz:
https://doaj.org/article/310949acdf10450b97a939e1145f35fc
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 3, Pp 304-317 (2021)
K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute missing data with plausible values. One of the successes of KNN imputation is the ability to measure the missing data simulated from its nearest neighbors robus
Externí odkaz:
https://doaj.org/article/17edaeaaa3424b1992298626202a8df7
Autor:
Amelia Ritahani Ismail, Normaziah Abdul Aziz, Azrina Md Ralib, Nadzurah Zainal Abidin, Samar Salem Bashath
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 2, Pp 225-236 (2021)
Clinicians could intervene during what may be a crucial stage for preventing permanent kidney injury if patients with incipient Acute Kidney Injury (AKI) and those at high risk of developing AKI could be identified. This paper proposes an improved me
Externí odkaz:
https://doaj.org/article/86df0ea22f9a42d09dd9dbcb17c21dbd
Autor:
Noor Azura Zakaria, Amelia Ritahani Ismail, Nadzurah Zainal Abidin, Nur Hidayah Mohd Khalid, Afrujaan Yakath Ali
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 7, Iss 2, Pp 177-187 (2021)
Software effort and cost estimation are crucial parts of software project development. It determines the budget, time, and resources needed to develop a software project. The success of a software project development depends mainly on the accuracy of
Externí odkaz:
https://doaj.org/article/ae51af25893e415b83f4ccf337d12ee0
Autor:
A. H. Alamoodi, O. S. Albahri, A. A. Zaidan, H. A. Alsattar, B. B. Zaidan, A. S. Albahri, Amelia Ritahani Ismail, Gang Kou, Laith Alzubaidi, Mohammed Talal
Publikováno v:
Sensors, Vol 23, Iss 4, p 1854 (2023)
An intelligent remote prioritization for patients with high-risk multiple chronic diseases is proposed in this research, based on emotion and sensory measurements and multi-criteria decision making. The methodology comprises two phases: (1) a case st
Externí odkaz:
https://doaj.org/article/c7127f215f354ac5bfa6aea11927852b
Autor:
Che Zalina Zulkifli, Salem Garfan, Mohammed Talal, A. H. Alamoodi, Amneh Alamleh, Ibraheem Y. Y. Ahmaro, Suliana Sulaiman, Abu Bakar Ibrahim, B. B. Zaidan, Amelia Ritahani Ismail, O. S. Albahri, A. S. Albahri, Chin Fhong Soon, Nor Hazlyna Harun, Ho Hong Chiang
Publikováno v:
Water, Vol 14, Iss 22, p 3621 (2022)
Water quality monitoring plays a significant part in the transition towards intelligent and smart agriculture and provides an easy transition to automated monitoring of crucial components of human daily needs as new technologies are continuously deve
Externí odkaz:
https://doaj.org/article/135fbcbc6f84407083ddfe66ec6e99e6
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 5, Iss 2, Pp 123-136 (2019)
Imbalanced class data is a common issue faced in classification tasks. Deep Belief Networks (DBN) is a promising deep learning algorithm when learning from complex feature input. However, when handling imbalanced class data, DBN encounters low perfor
Externí odkaz:
https://doaj.org/article/d25f254ffad9489fbd6b438ba2b5fed5
Publikováno v:
Knowledge Engineering and Data Science, Vol 2, Iss 1, Pp 41-46 (2019)
The objective of this research is to evaluate the effects of Adam when used together with a wide and deep neural network. The dataset used was a diagnostic breast cancer dataset taken from UCI Machine Learning. Then, the dataset was fed into a conven
Externí odkaz:
https://doaj.org/article/31b9eec4eb854659b4559725dcbef315