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120 articles for “linear regressions”
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Solitary Identification and Analysis of Considerate Nutritional Consumption and Identifying Malnutrition
Abstract: The food supply chain is in danger from various factors, including climate threats, such as heat waves, floods, droughts, and other extreme occurrences such as intensive livestock farming, demand for animal protein, practices for antimicrobial resistance and various other factors leading to serious food shortages and an increase in food prices. Malnutrition is a major issue, with an estimated 663 million individuals affected. Poor nutrition is a serious problem that …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 46–62 Read article
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House Price Prediction: A Review
Abstract: In today’s scenario, real estate industry is growing rapidly. Everyone wants to purchase land and a home, either for personal use or as an investment. House prices keep changing day by day and it is hard for a person to choose the best from all of them. There are many technologies that help to analyse the various aspects of buying property. These digital platforms are created using various algorithms like …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 25–29 Read article
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Statistical Analysis on Time Spent on Internet Use by College Students: A Case Study of Butwal SubMetropolitan City, Nepal
Abstract: This study aims to identify the factors associated with time spent on internet by bachelor level students under Tribhuvan University at Butwal sub-metropolitan city. This study is entirely based on primary data taken from five colleges selected purposively at Butwal Submetropolitan city of Rupandehi district. The sample of the study contains 514 students. Samples were taken by proportionate technique from each faculty from each selected college. Classes and students were …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 62–72 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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2D-QSAR (Quantitative Structure Activity Relationship) Study of Probable Inhibitors for Oral and Cervical Cancers, Generation of Model for Pharmacophore Prediction
Abstract: Twenty-four analogs, conjugates and congeners of curcumin reported as inhibitors against HPV 16 E6 and E7 protein targets have been selected for generating QSAR model. The 46 descriptors were calculated using Schrodinger program version quikprop 9.2. Two alternative methods have been used to generate QSAR models. The first model generation was built on 5 descriptors namely glob, QPlogS, CIQPlogS, IP (eV), human oral absorption which were subjected to multiple linear …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 1–13 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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Determinants of Time on the Market and its Effect on Sales Price for Developed Residential Land in Akure, Nigeria
Abstract: This research work examined the contributing factors of time on the market (TOM) on developed residential property market in Akure. It also examined the effect the time lag has on the sales price. The data for the study was collected through structured questionnaires administered on principal partners of the 20 estate surveying and valuation firms in Akure as contained in the, 2014 register of the heads of firms of the …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 1–12 Read article
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A Review Paper on Comparison of Algorithms for Supervised Machine Learning
Abstract: AbstractSupervised learning attempts to create calculations that help deliver general speculations, which is able to do forecasts about future occasions. The objective of supervised learning is to manufacture a model of the segregation of class names in terms of predictor components. The classifier produced accordingly is then used to allocate class marks to the testing data where the estimations of the indicator elements are known, yet the estimation of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 11–16 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
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Assessment and Associated Factors of Adjustment Disorder with Mixed Depression and Anxiety of Hospitalized Patients with Pandemic Disease, COVID-19 in Ethiopia, East Africa, 2020
Abstract: AbstractBackground: Globally, the 2019 coronavirus disease (COVID-19) pandemic has raised international concern. According to world meters report, 4,545,167 cases, 1,715862 recoveries, 303,847 deaths and spread to 213 countries, and significant number increasing from day to day since December 2019. Mental health is becoming an issue that cannot be ignored in our fight against it. This study aimed to explore the prevalence, and factors linked to anxiety and depression in hospitalized …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 57–65 Read article
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BMI and Nutritional Level Classification using Bioelectrical Impedance Analysis
Abstract: AbstractThis paper is based on the study of improve the cutoff point and nutritional classification and status of overweight/obesity based on the EMI. Study was conduct on more than 1000 individual on both genders age between 18 and 60 years. The subjects underwent measurement of weight and height and bioelectrical impedance analysis. Instrumentation for the measurement of bioimpedance is simple, cost effective for mass production and is easy to use. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 18–27 Read article
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Modeling Evapotranspiration using Artificial Neural Networks
Abstract: The prior knowledge of evapotranspiration (ET0) is crucial for estimating crop-water demand, preparation of water distribution schedules and water diversion. The present study investigates the utility of artificial neural networks (ANNs) and linear regression models (LRs) for forecasting ET0 based on hydro-meteorological data. Based on different inputs, eight ANN and LR models are developed. The results are compared with those of FAO-56 Penman-Monteith expression. The published daily climatic data from …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 29–35 Read article
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Bank Loan Prediction by using Logistic Regression
Abstract: In the modern era of science and technology, the banking sector is also growing very fast and a lot of people are applying for bank loans. But the bank has limited assets and can be granted to limited number of people only, so the bank must ensure that the person whom the loan is granted is eligible enough to pay it back. So, in this study, we will try to …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 2, 2021 · pp. 17–21 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 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