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44 articles for “Regression Analysis”
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Analysis of Trend in Rainfall Data using Mann-Kendall Test and Linear Regression Method
Abstract: Rainfall is a vital part of the hydrologic cycle and changes in its pattern directly influence the water resources of concerned regions. Changes in rainfall response as a result of climate change that gives alarming to hydrologists and water resource managers as these changes in rainfall quantity and frequency are altering the pattern of stream flows and demands, spatial and temporal distribution of runoff, soil moisture, etc. The drastic changes …
Published in International Journal of Water Resources Engineering · Vol. 8, Issue 2, 2022 · pp. 39–44 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Chemometrics Analysis based on Infrared Spectroscopy of Emu Oil Obtained by Different Solventless Methods
Abstract: The multivariate analysis technique principal components regression (PCR) was used as a method of discrimination of the information obtained in the infrared spectra with the AssureID and Spectrum QUANT+ Software, to predict structural changes in emu oil extracted by solventless methods. A set of 20 spectra per sample for each extraction method was used, incorporating the spectral information in the calibration of the chemometric analysis. Variations in the spectra were …
Published in International journal of Nanobiotechnology · Vol. 8, Issue 2, 2022 · pp. 31–37 Read article
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High Blood Pressure and Occupational Exposure to Antineoplastic Agents Among Healthcare Professionals
Abstract: Objective: The aim of our study was to determine prevalence and risk for high blood pressure (HBP) among personnel exposed to antineoplastic agents (drugs, ADs) among healthcare workers. Materials and methods: We conducted a descriptive analytical study of 108 exposed to antineoplastic agents in 5 oncology departments and 326 unexposed subjects. All subjects completed a medical and occupational questionnaire. We estimated exposure to ADs using exposure time and the cytotoxic …
Published in International Journal of Cardiovascular Nursing · Vol. 9, Issue 1, 2023 · pp. 29–39 Read article
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Analysis of Stability of Slope Subjected to Blast Vibrations: A Numerical Modelling Approach
Abstract: Numerical simulation was employed to estimate the dynamic behaviour of the canal slope under blasting load based on the blast vibration field test of Yanakandla Mine, Kurnool District of Andhra Pradesh. Blast vibrations were monitored at different distances and based on the data obtained a regression curve was generated. The study consisted of slope stability analysis of the canal near the mine using Distinct Element Modelling technique in 3DEC software. …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 2, Issue 1, 2016 · pp. 39–47 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Risk Factors of Hypertension among Refugees in Gaza Strip-Palestine – Case Control Study
Abstract: Background: hypertension constitutes a major public health problem in the Middle East and other countries. There should be an effective management via introduction of preventive and health education measures. The main aim of this study was to identify the risk factors of hypertension among refugees in the Gaza Strip.Materials and methods: A case-control study design was adopted to conduct this study within the period June – November 2020. The study …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 2, 2021 · pp. 26–33 Read article
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Evaluation of Hydrodynamic Characteristics of Quarter Circular Breakwater by RBF Network and Regression Models
Abstract: Breakwaters are massive structures constructed to provide the required tranquility within the ports and also used for safeguarding the beaches from eroding due to severe action of waves especially during inclement weather. In the recent years, innovative structures like Semi-Circular Breakwater (SCB) and Quarter Circular Breakwater (QCB) are being evolved to fulfill the ever increasing demand from coastal sector. QCB is a modified SCB, which is similar to caisson consists …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 2, 2020 · pp. 11–22 Read article
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Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
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Performance Calculation of a Gas Plant Compressor Unit
Abstract: This research was centered on calculating the performance of a gas plant compressor unit which was achieved using Tunu Booster Station facility. The results shows that the ability of the compressor, isentropic efficiency and coefficient of performance of the compressor gave values of 33899kw, 0.83 and 1.2. The deviations from the existing plant values were 35.6%, 31.7% and 20% respectively. Other parameters that were considered and evaluated include the failure …
Published in International Journal of Polymer Science and Engineering · Vol. 8, Issue 2, 2022 · pp. 13–24 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Application of Suitable Admixtures (Lime and RHA) for Improvement of Pavement Subgrade
Abstract: Abstract The quality of a pavement depends on the strength of its sub-grade. The present investigation has been carried out with easily available materials like lime and rice husk ash mixed individually and in combinations with different proportions. The different percentages of lime with respect to weight of dry soil were 2%, 4%, 6%, 8% 10% and for rice husk ash (RHA) were 3%, 6%, 9% and 12%. In each …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 1, Issue 2, 2015 · pp. 14–31 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Studies on Interaction of SDS with HPMC Using Central Composite Design
Abstract: The conductivity measurements were used to study the interaction between non-ionic biopolymers, hydroxypropyl methyl cellulose (HPMC) and the anionic surfactant- sodium dodecyl sulphate (SDS) in aqueous solutions of different concentrations and at temperatures along with the use of Response Surface Methodology (RSM). Calculations were made of the free energies of aggregation ΔGagg, micellization (Gmic), and transfer (Gt), all of which are connected to the bonding interaction between the surfactant and …
Published in International Journal of Green Chemistry · Vol. 8, Issue 2, 2022 · pp. 20–33 Read article
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A Review on Property Price Tracking Using ML Model
Abstract: The very common reason for an investment is to get benefits in future. Different legal and illegal utilization leads to cost fluctuation. It is therefore important to well manage the [exploitative] of the property, and an application like price predictor is well equipped with optimal solution. However, such price prediction methods require an appropriate knowledge and experience regarding this domain. By utilising machine learning techniques and algorithms, the price of …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 11–20 Read article
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Health Care System Analysis Using Different Datasets
Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 Read article
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Analysis of Indirect cost of Construction Projects in India
Abstract: Cost is one of vital performance indicator for construction projects. All construction projects consists of direct and indirect costs. Indirect cost form significant part of contract value. Previous studies suggest that there exist a general practice of taking total overhead as percentage of direct cost or contract value. Such a thumb rule is highly susceptible to inaccuracy because various project factors. Since, indirect cost is an important factor for project …
Published in International Journal of Sustainable Building Technology · Vol. 4, Issue 2, 2021 · pp. 9–23 Read article
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Study of Sustainable Consumption pattern in the Food and Beverage Sector of North Gujarat: A Consumer Perspective
Abstract: The foundation of this study lies in examining the purchasing behavior of customers within the food and beverage industries in the North Gujarat region. Acknowledging the novelty of this study's focus on the North Gujarat region within the global marketing landscape, it underscores the importance of understanding consumer behaviors within this specific market. An in-depth analysis of the factors influencing consumers' purchasing decisions in the food and beverage sector is …
Published in International Journal of Green Chemistry · Vol. 9, Issue 2, 2023 · pp. 15–22 Read article