Machine learning models for data-driven prediction of diabetes by lifestyle type

Y Qin, J Wu, W Xiao, K Wang, A Huang, B Liu… - International journal of …, 2022 - mdpi.com
The prevalence of diabetes has been increasing in recent years, and previous research has
found that machine-learning models are good diabetes prediction tools. The purpose of this …

Face mask detection using machine learning

MW Eladham, AB Nassif… - Real-Time Image …, 2023 - spiedigitallibrary.org
The COVID-19 epidemic forced governments to adopt worldwide lockdowns in order to limit
the virus's spread. Wearing a face mask, it is said, would reduce the possibility of …

Design a speed reducer gearbox using chameleon swarm algorithm

M AlShabi, K Obaideen, R Amin… - Unmanned Systems …, 2023 - spiedigitallibrary.org
In this paper, Chameleon Swarm Algorithm, which is a new metaheuristic algorithm, is used
to design a speed reducer gearbox. The gearbox is used in an autonomous vehicle, and it is …

Naïve Bayes and K-Nearest Neighbor Algorithms Performance Comparison in Diabetes Mellitus Early Diagnosis.

N Puspitasari, AE Burhandeny… - … Journal of Online & …, 2022 - search.ebscohost.com
Diabetes Mellitus (DM) is a chronic disease that occurs when the body cannot effectively use
the insulin it produces. The use of artificial intelligence (AI) can provide a means to …

Design a wing flange lever mechanism using Giza pyramid algorithm

M AlShabi, M Abouelazm, AB Nassif… - Sensors and Systems …, 2023 - spiedigitallibrary.org
In this work, a well-known mechanism that is referred to as piston lever mechanism is design
to control the wing's flange. The design targets the mechanism components and their …

Applications of autonomous rover for radiometric surveillance

Y Faroukh, M AlShabi… - … Radiological, Nuclear, and …, 2023 - spiedigitallibrary.org
The concept of an autonomous rover system to perform maintenance, investigations, and
data collection in remote or inaccessible locations has seen an increased demand recently …

Studying the gender effect on apparent mass during whole-body vibration using ANN

M AlShabi, N Nawayseh - Smart Biomedical and …, 2023 - spiedigitallibrary.org
Artificial Neural Network (ANN) is a powerful tool to model a system using only the inputs
and outputs of that system. In this paper, ANN is used to model the relation between the …

Detecting heart diseases through machine learning

SA Alobeidli, AB Nassif… - Pattern Recognition and …, 2023 - spiedigitallibrary.org
Heart diseases are ranked the first cause of death in the world. Australia has the highest
incidence of heart disease. Approximately 125 lives every single day that's one life every 12 …

Prediction for diabetes by a weighted voting classifier based on normalized AUC with balancing factors

X Gao, M Zheng - 2023 - researchsquare.com
Diabetes is a metabolic disease characterized by hyperglycemia caused by insulin
deficiency or resistance. Diabetes can lead to various co-morbidities and is a common …