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34 articles for “multiple regression method”
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Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
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Monitoring of Ship Deployment Through Emerging Technologies
Abstract: The mission for naval vessels encompasses defining combat tasks, deployment statuses, and timing requirements to optimize combat patrol effectiveness and daily ship management. This involves inheriting, developing, and optimizing ship deployment strategies while establishing new deployment categories with distinct names, connotations, personnel, and equipment needs to ensure organic integration and synergy. Emphasis is placed on maintaining continuity, stability, and forward-thinking to meet the demands of warship combat operations, facilitate management …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 59–66 Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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Evaluating the Best Belt Conveyor Assembly Using TOPSIS Approach
Abstract: This article presents a new approach for the selection of Belt Conveyor of screening creaser on the basis of their performance. This article includes the effective factors like angle of response, load capacity of motor, raw material load capacity, raw material dimension. These all important factors affect the performance of Belt Conveyor Assembly. Therefore, determination of the best Belt Conveyor is basically a Multi-Attribute Decision Making (MADM) problem. Our aim …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 1–6 Read article
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Knowledge, Attitude and Practice Towards Utilization of Long-Acting Contraceptive Methods and Predictors of Utilization among Reproductive Age Group Women in Addis Ababa Public Health Centers, Ethiopia.
Abstract: Long-acting contraceptives (LACs) such as intrauterine devices and hormonal implants are among the most effective methods that prevent unintended pregnancies. The methods are more convenient to clients who want to space or limit their births. But, their utilization is still very low and there is no strong evidence about the factors contributed to the low utilization level. The present study was undertaken to assess the utilization of LAC methods and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 2, 2016 · pp. 6–11 Read article
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Principles of Interpolating Prognostication in Oncology
Abstract: AbstractThe precise prediction in oncology plays a critical role in prevention, treatment, assessment of the effectiveness of methods of treatment and treatment outcomes for cancer patients. Some medical researches claim that statistical processing (factor analysis) permits to precisely individualize the prognosis, which determines the possibility of an individual approach to monitoring and postoperative treatment of patients. However, factor analysis permits only creating a matrix of factors that can significantly describe …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 2, 2020 · pp. 39–51 Read article
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Performance of Some Modified Ordinary Ridge Regression Estimators
Abstract: In multiple linear regressions, if the data suffer from severe multicollinearity, then the ordinary least squares (OLS) method become more sensitive to it, and in such a case OLS could yield wrong sign for some of the regression coefficients. Therefore, when such a situation arises, we could use one of the biased regression methods viz., ridge regression, principal component regression, and so on, as an alternative method to OLS. This …
Published in Research & Reviews : Journal of Statistics Read article
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An Empirical Analysis of Cost, Time, and Quality Relationships Using Correlation and Regression Techniques
Abstract: Cost, time, and quality have been recognized as the three key dimensions that determine construction project performance and are commonly represented through the "Project Management Triangle." However, despite their theoretical linkage, there is limited empirical evidence to quantify the nature of their relationships, particularly within developing construction markets. This paper seeks to contribute to addressing this shortfall by investigating the specific influence of cost and schedule variations upon quality outcomes …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 52–60 Read article
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Prevalence and Predictors of Goiter among 6–12 years Old Children in Eastern Tigray Region, Northern Ethiopia: A Community-based Cross-sectional Study
Abstract: Iodine deficiency disorder (IDD) is the collective name of endemic goiter and endemic cretinism. Goiter is the main preventable major public health problem worldwide during pregnancy and childhood in an environment where iodine is deficient. The aim of this study was to assess the prevalence rate and associated factors of goiter among 6–12 years old children in eastern Tigray region, Northern Ethiopia. We used community-based cross-sectional survey. The study population …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 52–60 Read article
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Prenatal estimation of the birth weight above 4,000 g (fetal macrosomia) using fetal abdominal circumference(AC)
Abstract: Purpose: This study is to determine if the birth weight above 4,000g can be correctly estimated by prenatal ultrasonographic measurements of abdominal circumference.Background: The delivery of macrosomatic fetus can increase the perinatal morbidity and mortality of both parturients and fetuses/neonates; the risk for shoulder dystocia, fetal asphyxia and birth trauma as well as vacuum or forceps delivery, hysterotomy and postpartum bleeding due to uterine atony. Thus, the accurate estimation of …
Published in Research and Reviews: A Journal of Medicine · Vol. 12, Issue 3, 2022 · pp. 27–33 Read article
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The Impact of Nutrition on Sports Performance and Academic Success: A Study Among University Athletes – Eastern Technical University of Sierra Leone
Abstract: University athletes operate within dual-performance environments that require simultaneous academic and athletic excellence. Nutrition plays a critical role in supporting both physiological performance and cognitive functioning; however, limited empirical work has examined its combined influence on athletic and academic outcomes within university athlete populations, particularly in low-resource contexts. This study aimed to investigate the relationship between nutritional practices, sports performance, and academic achievement among university athletes at the Eastern Technical …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 16–27 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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QSAR Modeling of a Novel Series of Methoxylated Chalcones as Antioxidant Agents Against Gram-Positive Bacteria Staphylococcus aureus
Abstract: Background: Chalcones are aromatic ketones belonging to the flavonoid family. They are plant-based compounds and are widely found in nature. For centuries, these bioactive molecules have been utilized in various traditional medicines for the treatment of several ailments. Chalcones have antibacterial, antiviral, antimalarial, antifungal, antioxidant, and antileishmanial properties. They are also used to treat inflammation and cancer. Chalcones act as angiogenesis inhibitors, an important factor in cancer progression and metastasis. …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Utilizing Machine Learning to Evaluate the Connection between Poisson's Ratio and the Petrophysical Properties of Reservoir Rocks
Abstract: The Poisson's ratio is a crucial cornerstone, illuminating our understanding of geomechanical behaviour in wells during the dynamic drilling process and the inspiring recovery journey. This research rigorously employs machine learning methods to analyse the significant impact of geophysical parameters on the Poisson ratio in hydrocarbon reservoirs found in oil fields. The analysis utilized data from multiple oil and gas fields, highlighting the crucial relationships between the Poisson ratio, the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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The Impact of Climate Change on Jute Production in Gaibandha District, Bangladesh
Abstract: Jute plays a crucial role in Bangladesh’s agricultural economy, especially in Gaibandha District, where it is a key crop for rural livelihoods. However, climate change, characterized by rising temperatures and unpredictable rainfall, poses significant threats to jute production. While numerous studies have explored the broader impact of climate change on agriculture, there is a gap in understanding how localized climate conditions specifically affect jute farming in Gaibandha, with many existing …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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A Case-Control Study Examining Determinants of Neonatal Near-Miss in Public Hospitals in Tigray Region, Northern Ethiopia
Abstract: Background: A neonatal near-miss (NNM) is defined as a morbid event that nearly results in newborn death within 28 days postpartum. Every year, four million newborn babies die in the first month of life in low and middle-income countries. However, the determinants of NNM have not been studied in depth in Ethiopia. This study attempted to examine the determinants of NNM in Tigray Region, Northern Ethiopia. Method: We used unmatched …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 1–11 Read article
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Assessment of Magnitude and Associated Factors of Adverse Birth Outcomes among Deliveries at Suhul Hospital Shire Tigray, Ethiopia from September, 2015 to February, 2016
Abstract: An adverse birth outcome is common phenomena both in developed and underdeveloped countries. Among all these adverse birth outcomes prematurity, low birth weight and stillbirth are the most common cases. Each year, about 15 million babies in the world, more than one in 10 births, are born too prematurely. More than 7% of those babies die shortly after birth; countless others suffer from lifelong physical, neurological, or educational disabilities, often …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 1, 2017 · pp. 1–10 Read article