Search Results - "Abonazel, Mohamed R."

Estimating COVID-19 cases in Makkah region of Saudi Arabia: Space-time ARIMA modeling by Awwad, Fuad A, Mohamoud, Moataz A, Abonazel, Mohamed R

“…The novel coronavirus COVID-19 is spreading across the globe. By 30 Sep 2020, the World Health Organization (WHO) announced that the number of cases worldwide…”
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Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling by Awwad, Fuad A, Abdel-Rahman, Suzan, Abonazel, Mohamed R

“…This paper investigated the appropriate specifications of Engel curves for non-food expenditure categories and estimated the deprivation indices of non-food…”
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Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data by Islam, Umar, Alwageed, Hathal Salamah, Farooq, Malik Muhammad Umer, Khan, Inayat, Awwad, Fuad A, Ali, Ijaz, Abonazel, Mohamed R

“…As criminal activity increasingly relies on digital devices, the field of digital forensics plays a vital role in identifying and investigating criminals. In…”
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BERT-Based Clinical Name Entity Reorganization Model for Health Diagnosis by Borole, Yogini Dilip, Agrawal, Anurag Vijay, Tesfayohanis, Miretab, Thakkar, Dhruv, Abonazel, Mohamed R., Awwad, Fuad A.

“…The National Health and Family Planning Commission requires medical institutions to use the International Classification of Diseases (ICD) codes. However, due…”
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New evidence of gender inequality during COVID-19 outbreak in the Middle East and North Africa by Abdel-Rahman, Suzan, Awwad, Fuad A., Qasim, Muhammad, Abonazel, Mohamed R.

“…The COVID-19 pandemic has significantly altered employment and income distribution, impacting women and men differently. This study investigates the negative…”
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Driving Factors of NOx Emissions in China: Insights from Spatial Regression Analysis by Abdelwahab, Mahmoud M., Shalaby, Ohood A., Semary, H. E., Abonazel, Mohamed R.

“…China’s rapid industrialization and urbanization have led to significant nitrogen oxide (NOx) emissions, contributing to severe atmospheric pollution…”
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Real-Time Detection schemes for Memory DoS(M-DoS) Attacks on Cloud Computing Applications by Islam, Umar, Al-Atawi, Abdullah, Alwageed, Hathal Salamah, Ahsan, Muhammad, Awwad, Fuad A., Abonazel, Mohamed R.

“…Memory Denial of Service (M-DoS) attacks refer to a class of cyber-attacks that aim to exhaust the memory resources of a system, rendering it unavailable to…”
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Modified Two-Parameter Liu Estimator for Addressing Multicollinearity in the Poisson Regression Model by Abdelwahab, Mahmoud M., Abonazel, Mohamed R., Hammad, Ali T., El-Masry, Amera M.

“…This study introduces a new two-parameter Liu estimator (PMTPLE) for addressing the multicollinearity problem in the Poisson regression model (PRM). The…”
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Implications of labour market disruptions on subjective wellbeing during the COVID-19 pandemic in MENA countries by Abdelwahab, Mahmoud M., Abonazel, Mohamed R., Semary, H.E., Abdel-Rahman, Suzan

“…COVID-19 has caused a global health crisis and severe economic and social consequences. Unprecedented economic disruption and high unemployment are the…”
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Performance of the Ridge and Liu Estimators in the zero-inflated Bell Regression Model by Algamal, Zakariya Yahya, Lukman, Adewale F., Abonazel, Mohamed R., Awwad, Fuad A.

“…The Poisson regression model is popularly used to model count data. However, the model suffers drawbacks when there is overdispersion—when the mean of the…”
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New Robust Estimators for Handling Multicollinearity and Outliers in the Poisson Model: Methods, Simulation and Applications by Dawoud, Issam, Awwad, Fuad A., Tag Eldin, Elsayed, Abonazel, Mohamed R.

“…The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive…”
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Predictors of catastrophic out-of-pocket health expenditure in rural Egypt: application of the heteroskedastic probit model by Abdel-Rahman, Suzan, Shoaeb Farouk, Fattah Mohamed Naguib Abdel, Abonazel, Mohamed R

“…BackgroundOut-of-pocket (OOP) health expenditure is a pressing issue in Egypt and far exceeds half of Egypt’s total health spending, threatening the economic…”
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Exploring the potential impact of group identity on post-traumatic growth in the aftermath of Corona outbreak: function of social–emotional competence as a mediator by Ma, Jinfu, Khan, Ahsan Riaz, Zhang, Hai-Jun, Jun, Zhang, Abonazel, Mohamed R., Ahmad, Muhammad Salman, Tageldin, Elsayed M., Alzahran, Ali Rashash R.

“…Background This research endeavors to examine the potential effects of human and societal interactions on individuals’ post-traumatic growth in the aftermath…”
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How to punish cyber criminals: A study to investigate the target and consequence based punishments for malware attacks in UK, USA, China, Ethiopia & Pakistan by Khadam, Nadia, Anjum, Nasreen, Alam, Abu, Ali Mirza, Qublai, Assam, Muhammad, Ismail, Emad A.A., Abonazel, Mohamed R.

“…Numerous research studies have highlighted the exponential growth of malware attacks worldwide, posing a significant threat to society. Cybercriminals are…”
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Predictors of mental health problems during the COVID-19 outbreak in Egypt in 2021 by Abdel-Rahman, Suzan, Awwad, Fuad A, Ismail, Emad A A, Kibria, B M Golam, Abonazel, Mohamed R

“…With the widespread outbreak of the coronavirus (COVID-19) pandemic, many countries, including Egypt, have tried to restrict the virus by applying social…”
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New modified two-parameter Liu estimator for the Conway-Maxwell Poisson regression model by Abonazel, Mohamed R.

“…The Conway-Maxwell-Poisson (COMP) model is one of the count data regression models used in over- and underdispersion cases. Thus, COMP regression is a flexible…”
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Beta ridge regression estimators: simulation and application by Abonazel, Mohamed R., Taha, Ibrahim M.

“…The beta regression model is commonly used when analyzing data that come in the form of rates or percentages. However, a problem that may encounter when…”
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Developing robust ridge estimators for Poisson regression model by Abonazel, Mohamed R., Dawoud, Issam

“…The Poisson regression model (PRM) is the standard statistical method of analyzing count data, and it is estimated by a Poisson maximum likelihood (PML)…”
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Modified ridge-type for the Poisson regression model: simulation and application by Lukman, Adewale F., Aladeitan, Benedicta, Ayinde, Kayode, Abonazel, Mohamed R.

“…The Poisson regression model (PRM) is employed in modelling the relationship between a count variable (y) and one or more explanatory variables. The parameters…”
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Developing a Liu‐type estimator in beta regression model by Algamal, Zakariya Yahya, Abonazel, Mohamed R.

“…The beta regression model is a commonly used when the response variable has the form of fractions or percentages. The maximum likelihood (ML) estimator is used…”
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