Abdulaziz S. Alghamdi
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View article: Machine learning-based prediction of crack mouth opening displacement in ultra-high-performance concrete
Machine learning-based prediction of crack mouth opening displacement in ultra-high-performance concrete Open
Ultra-high-performance concrete (UHPC) has become an essential construction material due to its exceptional strength, durability, and crack-resistance properties, making it well-suited for long-span bridges, protective structures, and dema…
View article: The flexible Lomax-G family with estimation methods and applications in hydrology and biomedicine
The flexible Lomax-G family with estimation methods and applications in hydrology and biomedicine Open
View article: Generalized class of estimators for population distribution function in the presence of non-response
Generalized class of estimators for population distribution function in the presence of non-response Open
The nature of non-response in surveys is a very big challenge and the results obtained are often biased and may misguide research and policy conclusions. To resolve this we suggest flexible and generalized estimator that should be in place…
View article: Flexible Proportional Odds Regression Model with Applications
Flexible Proportional Odds Regression Model with Applications Open
This study proposes a flexible parametric proportional odds regression model that incorporates the exponentiated-Weibull distribution as a baseline for analyzing censored lifetime data. The proposed model is referred to as the exponentiate…
View article: Machine learning approaches for predicting the construction time of drill-and-blast tunnels
Machine learning approaches for predicting the construction time of drill-and-blast tunnels Open
This study examines the intricate task of predicting construction duration for drill-and-blast tunnels utilizing machine learning (ML) techniques. First, a comprehensive dataset (500 data points) encompassing 20 diverse parameters was comp…
View article: Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete
Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete Open
View article: Improved Median Estimation in Stratified Surveys via Nontraditional Auxiliary Measures
Improved Median Estimation in Stratified Surveys via Nontraditional Auxiliary Measures Open
This research focuses on estimating the population median within a stratified random sampling framework by using robust statistical measures with transformation-based methodologies. An efficient estimator aims to minimize both the bias and…
View article: Stratified Median Estimation Using Auxiliary Transformations: A Robust and Efficient Approach in Asymmetric Populations
Stratified Median Estimation Using Auxiliary Transformations: A Robust and Efficient Approach in Asymmetric Populations Open
This study estimates the population median through stratified random sampling, which enhances accuracy by ensuring the proper representation of key population groups. The proposed class of estimators based on transformations effectively ha…
View article: Comprehensive Multidisciplinary Management and Long-Term Care Approaches for Newborns with Birth Asphyxia: Clinical Guidelines for Healthcare Professionals
Comprehensive Multidisciplinary Management and Long-Term Care Approaches for Newborns with Birth Asphyxia: Clinical Guidelines for Healthcare Professionals Open
Background: Birth asphyxia is a major contributor to neonatal morbidity and mortality worldwide, frequently resulting in hypoxic–ischemic encephalopathy (HIE) and multi-organ dysfunction. Optimal management requires timely diagnosis, acute…
View article: Comprehensive Multidisciplinary Management and Long-Term Care Approaches for Newborns with Birth Asphyxia: Clinical Guidelines for Healthcare Professionals
Comprehensive Multidisciplinary Management and Long-Term Care Approaches for Newborns with Birth Asphyxia: Clinical Guidelines for Healthcare Professionals Open
Background: Birth asphyxia is a major contributor to neonatal morbidity and mortality worldwide, frequently resulting in hypoxic–ischemic encephalopathy (HIE) and multi-organ dysfunction. Optimal management requires timely diagnosis, acute…
View article: Efficient population mean estimation of sensitive traits using robust quantile regression and scrambled response methodology
Efficient population mean estimation of sensitive traits using robust quantile regression and scrambled response methodology Open
Using robust regression approach for mean estimation in survey sampling with a single supplementary information is a well-established practice when there are outliers in the data set. The most popular methods for sensitive studies are regr…
View article: Estimation and statistical properties of the Weibull–Rayleigh model with applications to industrial data
Estimation and statistical properties of the Weibull–Rayleigh model with applications to industrial data Open
Modeling and fitting more complex data sets is an important domain in applied sciences, especially in survival, industry, finance, insurance, and engineering analysis. In this paper, the novel Weibull–Rayleigh distribution was developed us…
View article: Optimizing Finite Population Mean Estimation Using Simulation and Empirical Data
Optimizing Finite Population Mean Estimation Using Simulation and Empirical Data Open
Two-phase sampling is an effective sampling approach that is useful in sample surveys when prior auxiliary information is not available. When two variables have an association, the ranks of the auxiliary variable are proportional to the st…
View article: Simulation-Based Evaluation of Robust Transformation Techniques for Median Estimation Under Simple Random Sampling
Simulation-Based Evaluation of Robust Transformation Techniques for Median Estimation Under Simple Random Sampling Open
An efficient estimator can reduce both bias and mean squared error to provide more accurate results by using the transformation strategy. In this paper, an enhanced class of ratio–product types of estimators is introduced, which employs th…
View article: Perspectives and insight of Al-Baha city population toward blood donation after pandemics: knowledge, attitude, and practice
Perspectives and insight of Al-Baha city population toward blood donation after pandemics: knowledge, attitude, and practice Open
View article: A Comparative Study of New Ratio-Type Family of Estimators Under Stratified Two-Phase Sampling
A Comparative Study of New Ratio-Type Family of Estimators Under Stratified Two-Phase Sampling Open
Two-phase sampling is a useful technique for sample surveys, particularly when prior auxiliary data is not accessible. The ranks of the auxiliary variable often coincide with those of the research variable when two variables are correlated…
View article: New Class of Estimators for Finite Population Mean Under Stratified Double Phase Sampling with Simulation and Real-Life Application
New Class of Estimators for Finite Population Mean Under Stratified Double Phase Sampling with Simulation and Real-Life Application Open
Sampling survey data can sometimes contain outlier observations. When the mean estimator becomes skewed due to the presence of extreme values in the sample, results can be biased. The tendency to remove outliers from sample data is common.…
View article: Assessment of Pediatric Radiotherapy Capacity in Saudi Arabia
Assessment of Pediatric Radiotherapy Capacity in Saudi Arabia Open
View article: Development of a new statistical distribution with insights into mathematical properties and applications in industrial data in KSA
Development of a new statistical distribution with insights into mathematical properties and applications in industrial data in KSA Open
This study presents the development of a novel distribution through a transformation involving error functions, namely the error function inverse Weibull model, along with an overview of the fundamental characteristics of the proposed mode…
View article: High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete
High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete Open
View article: A new flexible Weibull distribution for modeling real-life data: Improved estimators, properties, and applications
A new flexible Weibull distribution for modeling real-life data: Improved estimators, properties, and applications Open
In this paper, we proposed a novel and flexible lifetime model, the generalized Kavya–Manoharan Weibull distribution, which can be interpreted as a proportional reversed hazard model. The most remarkable feature of the proposed model is it…
View article: Is mobile phone use while driving prevalent? Evidence from Saudi Arabia
Is mobile phone use while driving prevalent? Evidence from Saudi Arabia Open
Mobile phone use while driving is common in Saudi Arabia despite the presence of laws prohibiting it. This study aimed to examine the impact of mobile phone use on driving, as well as the attitudes and behaviors of male drivers. Data were …
View article: A Low-Cost, Portable, Multi-Cancer Screening Device Based on a Ratio Fluorometry and Signal Correlation Technique
A Low-Cost, Portable, Multi-Cancer Screening Device Based on a Ratio Fluorometry and Signal Correlation Technique Open
The autofluorescence of erythrocyte porphyrins has emerged as a potential method for multi-cancer early detection (MCED). With this method’s dependence on research-grade spectrofluorometers, significant improvements in instrumentation are …
View article: The exponentiated-Weibull proportional hazard regression model with application to censored survival data
The exponentiated-Weibull proportional hazard regression model with application to censored survival data Open
The proportional hazard regression models are widely used statistical tools for analyzing survival data and estimating the effects of covariates on survival times. It is assumed that the effects of the covariates are constant across the ti…
View article: Intraosseous mandibular schwannoma managed via submandibular approach: a case report with a review of previously published cases
Intraosseous mandibular schwannoma managed via submandibular approach: a case report with a review of previously published cases Open
A 40-year-old female presented with right mandibular swelling. A panoramic radiograph showed a unilocular radiolucency from the mandibular angle to tooth #46. Biopsy confirmed a schwannoma. Surgical resection was performed via a submandibu…
View article: On the applications of novel weighted exponentiated lomax model to fitting lifetime datasets
On the applications of novel weighted exponentiated lomax model to fitting lifetime datasets Open
The Lomax distribution is widely recognized in distributional theory and thoroughly applied in many study fields, particularly in engineering and lifetime studies. Considering the importance of fitting the lifetime datasets, this article d…
View article: Rate and Causes of Unplanned Hospital Returns within 60 Days following Head and Neck Surgery
Rate and Causes of Unplanned Hospital Returns within 60 Days following Head and Neck Surgery Open
Introduction Unplanned hospital returns are frequent and may be preventable. Objective To comprehend the reasons for unplanned hospital readmission and return to the Outpatient Department (OPD) and Emergency Department (ED) within 60 days …
View article: Passive acoustic monitoring and visual sighting survey of cetacean occurrence patterns in the Kingdom of Saudi Arabia
Passive acoustic monitoring and visual sighting survey of cetacean occurrence patterns in the Kingdom of Saudi Arabia Open
The available data on occurrence patterns of cetaceans in the Red Sea area of the Kingdom of Saudi Arabia is very limited. The dearth of information is of pressing conservation concern as the coastline is undergoing rapid development as pa…
View article: Analysis of Covid-19 data using discrete Marshall–Olkinin Length Biased Exponential: Bayesian and frequentist approach
Analysis of Covid-19 data using discrete Marshall–Olkinin Length Biased Exponential: Bayesian and frequentist approach Open
View article: Exploring the Dynamics of COVID-19 with a Novel Family of Models
Exploring the Dynamics of COVID-19 with a Novel Family of Models Open
Much effort has recently been expended in developing efficient models that can depict the true picture for COVID-19 mortality data and help scientists choose the best-fit models. As a result, this research intends to provide a new G family…