Zobrazeno 1 - 10
of 342
pro vyhledávání: '"Hameed, Ali A."'
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 480-497 (2025)
The exploration of efficient and reliable data analysis tools is a constant endurance in statistical community. Stratification bring enhancement in estimates by capturing the heterogeneity in the data. This work introduces a novel data-driven machine
Externí odkaz:
https://doaj.org/article/58f58d5e55494ff5a97150b50da04352
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103064- (2024)
This article aims to develop two novel mean estimators of finite populations under ranked set sampling. The suggested estimators result in a high-efficiency gain due to their efficient formulation by taking the linear combination of classical estimat
Externí odkaz:
https://doaj.org/article/2cec12f5dfa64fa4a46added6c171851
Autor:
Ansam Mahdi Khalel, Mustafa Basim Ali, Maytham Adil Sadiq, Salah M. Ibrahim, Shatha Hameed Ali
Publikováno v:
Dentistry 3000, Vol 12, Iss 2 (2024)
Objective: To determine the prevalence and severity of caries in the first permanent molars of children aged 8 to 10 years in Najaf, Iraq. Subjects and Methods: This was a cross-sectional survey involving 1232 children aged 8 to 10 years in schools
Externí odkaz:
https://doaj.org/article/de343a44f1644865be8e49f1c935d8b0
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105325- (2024)
This work investigates the heat transmission and boundary layer (BL) slip flow of a power-law fluid induced by stretching surfaces. The power-law fluid, induced magnetic field, and finite thermal relaxation have significant applications in a variety
Externí odkaz:
https://doaj.org/article/564ac38975c44652b9b4a12a462db116
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 8, Pp 103287- (2024)
This paper aims to investigate the impact of transformed auxiliary variables on the performance of variance estimators of finite population under adaptive cluster sampling scheme. Further, the formulation of an efficient variance estimator of a finit
Externí odkaz:
https://doaj.org/article/6aafffd3bae0487f968cc5801da9b498
Autor:
Hameed, Ali Salah, Al-Azzawi, Adil
Today, finger vein identification is gaining popularity as a potential biometric identification framework solution. Machine learning-based unsupervised, supervised, and deep learning algorithms have had a significant influence on finger vein detectio
Externí odkaz:
http://arxiv.org/abs/2205.03840
Autor:
Ben Ali, Naim, Hammoodi, Karrar A., Aminian, Saman, Sharma, Aman, Jasim, Dheyaa J., Hameed, Ali I., Ali, Rifaqat, Rajab, Husam, Ahmed, Mohsen, Pasha, Pooya, Hashemi, Seyyed Hassan
Publikováno v:
In Case Studies in Thermal Engineering December 2024 64
Improvement in variance estimation using transformed auxiliary variable under simple random sampling
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed. It is observed that i
Externí odkaz:
https://doaj.org/article/845fdd165f0440869f38b4816ad07afa
Autor:
Parbat, Dibyangana, Hameed, Ali Zain, Kim, Yohann, Hong, Chan Young, Kim, Gwang Hoon, Park, Jae-Hoon, Lee, Sang Joon
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
In Heliyon 15 August 2024 10(15)