Md. Al Mehedi Hasan, Mohammed Nasser, Shamim Ahmad, Khademul Islam Molla
An intrusion detection system collects and analyzes information from different areas within a computer or a network to identify possible security threats that include threats from both outside as well as inside of the organization. It deals with large amount of data, which contains various ir-releva...
Md. Al Mehedi Hasan, Mohammed Nasser, Biprodip Pal, Shamim Ahmad
The success of any Intrusion Detection System (IDS) is a complicated problem due to its nonlinearity and the quantitative or qualitative network traffic data stream with many features. To get rid of this problem, several types of intrusion detection methods have been proposed and shown different lev...
Uzma Z. Rizvi
Abstract Acknowledgement I would like to thank my colleagues and friends Praveena Gullapalli and Benjamin Porter for the comments and insights that have helped shaped this piece in its initial stages. Additionally, this work has benefited from my conversations with Sandra Scham. I would also like to...
Md. Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih et al.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within health...
Altaf Hossain, Mohammed Nasser
The use of GARCH type models and computational-intelligence-based techniques for forecasting financial time series has been proved extremely successful in recent times. In this article, we apply the finite mixture of ARMA-GARCH model instead of AR or ARMA models to compare with the standard BP and S...
MOST. Sadia Islam Ria, Avijit Ghosh, Md. Azizur Rahman, Jehan Y. Al‐Humaidi et al.
Alamgir Kabir, Rebecca D. Merrill, Abu Ahmed Shamim, Rolf D. W. Klemn et al.
This analysis was conducted to explore the association between 5 birth size measurements (weight, length and head, chest and mid-upper arm [MUAC] circumferences) as dependent variables and 10 maternal factors as independent variables using canonical correlation analysis (CCA). CCA considers simultan...
Abdul Nurunnabi, Mohammed Nasser, A. H. M. Rahmatullah Imon
Detection of multiple unusual observations such as outliers, high leverage points and influential observations (IOs) in regression is still a challenging task for statisticians due to the well-known masking and swamping effects. In this paper we introduce a robust influence distance that can identif...
Seif Al-Abri, Adil Al Wahaibi, Hanan Al-Kindi, Padmamohan J. Kurup et al.
OBJECTIVE: To assess the seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in Oman and longitudinal changes in antibody levels over time within the first 11 months of the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This nationwide cross-sectional study was con...
Abdul Nurunnabi, A. H. M. Rahmatullah Imon, Mohammed Nasser
The identification of influential observations in logistic regression has drawn a great deal of attention in recent years. Most of the available techniques like Cook's distance and difference of fits (DFFITS) are based on single-case deletion. But there is evidence that these techniques suffer from ...
Yushuf Sharker, Mohammed Nasser, Jaynal Abedin, Benjamin F. Arnold et al.
The asset index is often used as a measure of socioeconomic status in empirical research as an explanatory variable or to control confounding. Principal component analysis (PCA) is frequently used to create the asset index. We conducted a simulation study to explore how accurately the principal comp...
Evelyn Hsieh, Dana Bryazka, Kanyin Liane Ong, Phoebe-Anne Rhinehart et al.
BACKGROUND: Fractures related to osteoporosis and low bone mineral density lead to substantial morbidity, mortality, and cost to individuals and health systems. Here we present the most up-to-date global, regional, and national estimates of the contribution of low bone mineral density to the burden ...
Altaf Hossain, Mohammed Nasser
In the recent years, the use of GARCH type (especially, ARMA-GARCH) models and computational-intelligence-based techniques—Support Vector Machine (SVM) and Relevance Vector Machine (RVM) have been successfully used for financial forecasting. This paper deals with the application of ARMA-GARCH, recur...
A. Al-Khadhuri, Jamal Nasser Al-Sabahi, Htet Htet Kyaw, Myo Tay Zar Myint et al.
Sameera Sh. Mohammed Ameen, Faisal K. Algethami, Hemn A. Qader, Idrees B. Qader et al.