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334 articles for “and regression analysis”
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Regression Analysis of Topological Indices and Physicochemical Properties of Polymer-Based Anticancer Drugs
Abstract: The research analyzed the quantitative correlation between topological indices and the physicochemical properties of selected anticancer compounds using regression analysis. Various topological descriptors—such as the First Zagreb Index, Second Zagreb Index, and Forgotten Index were calculated and regressed against key molecular features, including polar surface area, melting point, and molar refractivity. The regression analysis revealed linear correlations between these topological indices and the properties of anticancer drugs, with particularly strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 255–267 Read article
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Parametric Study of Laser Drilling Process Using Multi Variable Regression Analysis
Abstract: The laser drilling process is an advanced manufacturing technique extensively employed for intricate and high-value components in aerospace, automotive, and electronics industries. Laser drilling technology offers opportunities to meet the contemporary demands of industries using a broad spectrum of engineering materials. However, this process encounters several engineering challenges such as thermal damage, dimensional inaccuracies, and the formation of a recast layer in the drilled components. This study focuses on examining …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1000–1015 Read article
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Regression Analysis of Research Data using R Programming
Abstract: ABSTRACTThe goal of the review paper is discussing the relationship between various types of regression analysis whose output was sufficiently analyzed using R programming. The primary purpose of this paper is to explain the relationship of linear, multiple, quantile and polynomial regression models to achieve final conclusion with different data sets. Therefore, this paper presents the easiest way of regression analysis commands and R programming strengths for of data analysis. …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 42–50 Read article
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Optimization and Modelling of Process Parameters for Turning Operation on Cnc Lathe for ASTM A242 Type-2 Alloy Steel by Regression Analysis and Artificial Neural Network
Abstract: The purpose of this project is focussed on the modelling of cutting conditions to get the lowest surface roughness in turning ASTM A242 TYPE-2 ALLOYS STEEL by Artificial Neural Network and Regression Analysis method on the CNC lathe. The process of metal cutting has been well researched over the years; relatively small research has been carried out on the cutting of alloy of ASTM A242 grade materials. In this study, …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 40–51 Read article
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Regression Analysis of the Effect of Different N Doses in Calendula officinalis L.
Abstract: AbstractThe present study was conducted to investigate the effects of different nitrogen doses (0, 3, 6, 9 ve 12 kg/da) on flower yield and some yield parameters of pot marigold (Calendula officinalis L.) plants in 2015 under ecological conditions of Samsun province of Turkey. The first flower harvest was performed on 10th of July and 24 harvests were performed throughout the experiments. The greatest fresh and dry flower yields were …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 6, Issue 1, 2017 · pp. 15–19 Read article
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Experimental Investigations on Concentric Flow Dry Ultrasonic Assisted Wire Electric Discharge Machining (CFDUAWEDM) Using Regression Analysis
Abstract: This paper presents an application of concentric flow mode of dry dielectric (compressed air) supply for ultrasonic assisted wire electric discharge machining process (CFDUAWEDM). The concentric flow mode of dielectric supply using ultrasonic assistance is expected to offers improved surface integrity, environmental and operator friendliness during wire electric discharge machining (WEDM) process. Experimental set up was developed wherein, the ultrasonic vibration was applied to the electrode wire using an ultrasonic …
Published in Trends in Machine design · Vol. 3, Issue 2, 2016 · pp. 33–43 Read article
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Evaluation of the effect of fuel preheat on the performance and emission of a diesel engine using regression analysis.
Abstract: In this work an attempt was made to determine the effects of loading in Kirloskar 3.7 kW single cylinder, four stroke, compression ignition engine with “diesel and biofuel”as fuels. The effects of ‘fuel preheat’ on brake power and emission characteristics were investigated. The fuel preheat temperature was increased from 35C to 50C and emissions like CO and HC were found to be decreasing considerably, but, slight increase in brake power …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 36–41 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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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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Investigating the Relationship Between Environmental Concern and Waste Management in Tourism
Abstract: Tourism can bring both positive and negative effects in terms of the environment, which is the prevention of negative effects, including the necessity to preserve the environmental and even cultural, social resources of touristic areas. The purpose of this research is to investigate the relationship between environmental concerns and waste management in Damavand mountain tourism areas in 2017. This study was carried out as a survey and is of the …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 47–53 Read article
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Comparative Analysis of Polyethylene Terephthalate Based Blended Lean Mortar Mixes by Applying Mathematical Simulations and Regression Approach
Abstract: Currently, construction manufacturing units need an abundant number of non-renewable resources rising in the quarrying of natural strata, producing a disparity in our precious environment. Besides this, a plentiful amount of waste material like plastic waste in several forms such as solid, filler, etc., is generated gradually. Therefore, efficient sustainable disposal seemed like a threatening mission across the world. To mitigate the issue, in the present investigation, fine aggregate (sand) …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 60–70 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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Impact of Variations in Meteorological Parameters on Carbon Monoxide
Abstract: Meteorological parameters such as relative humidity (RH), atmospheric pressure (P), air temperature (T), wind direction (WD), rainfall (RF) etc. have impact on concentration of air pollutants like CO2, Carbon Monoxide (CO), Surface Ozone, Mathane, nitrogen oxides etc. We attempted investigating variations in CO associated with different meteorological parameters such as RH, P, T, WD and RF at a tropical coastal station, Thiruvananthapuram (8o 29’ N, 76o 57’ E) in South …
Published in Research & Reviews : Journal of Physics · Vol. 11, Issue 1, 2022 · pp. 7–15 Read article
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Process Optimization of Spot Welding for Galvanized Automotive Steel Sheets
Abstract: Resistance Spot Welding (RSW) is a pillar of the modern automotive industry with the usage of lightweight and high-strength products at the highest point of demand. The optimum weld quality of galvanized steel sheets which is a material of choice because of its additional corrosion protective property is however not achieved easily. This study is a well-developed data-based solution to designing the RSW process in the most efficient way, providing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 32–42 Read article
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Effect of Slope on Estimating Tree Biomass using Satellite Data in Belasitsa Mountain Forest, Bulgaria
Abstract: 800x600 Remote sensing of above ground tree biomass (AGTB) in rugged and mountainous forest sites incurs uncertainties in accuracy due to the influences of various bio-physical and topographic factors. Particularly slope is an important factor affecting the accuracy of remote sensing AGTB. This study investigates how slope affects the estimation of above ground tree biomass using vegetation indices (VIs) calculated from an ASTER image in the Belasitsa Mountain forest in …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 3, 2014 · pp. 17–30 Read article
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Investigation of Areca Stem and Banana Stem fibre Hybrid Composites for Improved Strength and Sustainable Applications
Abstract: Research on natural fibre reinforced polymer composites as eco-friendly substitutes for traditional synthetic composites has intensified due to growing need for sustainable engineering materials. This work used the Taguchi L9 orthogonal array to experimentally examine and optimize the mechanical behaviour of hybrid epoxy composites reinforced with areca and banana fibres. The impacts of epoxy matrix composition, areca and banana fibre content on the composite’s tensile strength, impact strength, flexural strength, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Advanced Modeling and Static Analysis of Inverted Umbrella Roof Shell Using ANSYS
Abstract: In this objective paper, an inverted umbrella roof shell are designing and modeling for the static analysis in ANSYS (15) using finite element method. The finite element analysis is carried by using total deformation and normal stresses in longitudinal direction and on X and Y plane to determine, respectively. Responses of umbrella roof shell results are linear and quadratic variation of the membrane displacements in the inverted direction are investigated …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 31–35 Read article
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Mechanical Characterization and Machinability Optimization of Stir-Cast Al6061–SiC Metal Matrix Composites
Abstract: This study presents the fabrication, mechanical characterization, metallurgical analysis, and machinability optimization of Aluminum 6061 reinforced with Silicon Carbide (SiC) metal matrix composites (MMCs) at three weight fractions: 5%, 7.5%, and 10%. Composites were manufactured using the stir casting technique, followed by comprehensive mechanical testing (tensile, hardness, and impact), optical microscopy, and scanning electron microscopy (SEM). Machinability was assessed through turning experiments on a lathe using an L9 Taguchi orthogonal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 833–848 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article
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The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study
Abstract: The project titled "The Role and Influence of Emotional Intelligence in Shaping Job Crafting: An Empirical Study" explores the significant influence of Emotional Intelligence (EI) on job crafting while also examining how demographic factors impact this relationship. In today’s evolving workplace, employees are increasingly reshaping their roles to align better with their skills, values, and motivational process known as job crafting. Emotional intelligence, which includes the capacity to identify, comprehend, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 15–23 Read article