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573 articles for “Regression”
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Research ArticleOpen accessEvery word in the titlePredicting CO2 Emissions Using Multivariate Regression: Assessing the Impact of Pandemics and Industrial RevolutionsYoussef Mekki, Chouaib Moujahdi, Noureddine Assad, Aziz DahbiThis paper explores the prediction of CO2 emissions usingMultivariate Regression models, incorporating the influence of significanthistorical events such as pandemics and industrial revolutions. Whileexisting research primarily focuses on carbon emissions alone in forecastingmodels, this study emphasizes the importance of incorporating multiplefactors for a comprehensive understanding of CO2 dynamics. Beyondemissions, factors such as socioeconomic indicators, industrial activities,environmental policies, and historical events … …Journal of Computer Science, Vol. 21, Issue 7 · 23 Jul 2025 · 3,432 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGreedy Algorithm Implementation for Test Case Prioritization in the Regression Testing PhaseAkira Wahyu Putra, Nilo LegowoThis study examines the implementation of Test Case Prioritization (TCP) using the Greedy Algorithm (GA) to enhance regression testing efficiency within a financial technology company's software development cycle. With testing durations increasing significantly, this study aims to address inefficiencies by applying the Greedy Algorithm to optimize test suite size and fault detection. The research methodology involves applying the Greedy Algorithm … …Journal of Computer Science, Vol. 21, Issue 2 · 9 Jan 2025 · 7,572 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLogistic Regression with Multi-Connected WeightsAvazjon Marakhimov Rakhimovich, Kabul Khudaybergenov Kadirbergenovich, Zahriddin Muminov Ishkobilovich, Kudaybergenov Jabbarbergen KadirbergenovichResults of current research in biological and cognitive science reveal that neuronal interactions predominantly depend on neurotransmitters for signaling and sending information between neurons. Furthermore, a specific neuron that is connected to the next neuron transmits or sends multiple neurotransmitters in parallel ways, where each neurotransmitter has specific functional roles. Based on these results, a new type of logistic regression … …Journal of Computer Science, Vol. 20, Issue 9 · 4 Jul 2024 · 5,064 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,790 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDeterminants of Household Saving Using Linear Regression Model. Evidence in Italian RegionsDomenica Federico, Antonella Notte, Angela Coscarelli, Maria Anastasia ArcuriHousehold saving decisions have always attracted the attention of researchers and policymakers. In fact, an increase in savings increases investments and this is reflected in an improvement in the standard of living of householders. Therefore, the focus of this article is on the determinants of household saving decisions in Italian regions. The savings of Italian families are represented by the … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 30 Apr 2024 · 9,269 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOrdinal Logistic Regression Analysis in Effective Teaching PracticesHongwei WangThe Association of College and University Educators (ACUE) course in effective teaching practices has been applied to an undergraduate mathematics class at Texas A and M International University (TAMIU) for the past two years (Spring 2022, Fall 2022 and Spring 2023). Practices such as ensuring equitable access to learning, embracing diversity in the classroom, providing useful feedback and teaching powerful … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 13 Feb 2024 · 6,060 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Big Data Football Club Market Value Using K-Means and Linear Regression Mining MethodsJohanes Fernandes Andry, Riama Sibarani, Vlavio Nathanael YeftaFootball clubs store a lot of data about their players, squad, transfer market, and market value, so big data is needed to process this data. This data can be analyzed to gain insight into the club's market value. Changes in player performance, age, and squad size can be analyzed using statistical methods. These digital data will provide information about the … …Journal of Computer Science, Vol. 19, Issue 2 · 10 Feb 2023 · 5,996 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,037 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,469 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRisk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree RegressionAsim Iftikhar, Shahrulniza Musa, Muhammad Alam et al.Software development through teams at different geographical locations is a trend of modern era, which is not only producing good results without costing lot of money, but also productive in relation to its cost with low risk and high return. This shift of perception of working in a group rather than alone is getting stronger day by day and has … …Journal of Computer Science, Vol. 17, Issue 2 · 3 Mar 2021 · 7,370 accessesView PDFCite