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275 articles for “predictive modeling”
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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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Prediction Models on Causing Factors for Delirium in Intensive Care Unit Patients
Abstract: This study aims to screen high-risk group for delirium in the intensive care unit by building optimal prediction models over multidimensional analysis of the factors causing delirium in intensive care unit patients, with providing the theoretical foundation for the development of protocols for delirium prevention and management in such patients. The data were collected over the electronic medical records by 3781 patients who were admitted to the medical/ surgical intensive …
Published in International Journal of Neurological Nursing · Vol. 3, Issue 1, 2017 · pp. 13–24 Read article
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Predictive Modelling of a Bioreactor for the Production of Ethanol Using Palmwine
Abstract: This research focuses on the feasibility of biochemical technology with yeast cells (Sacccharomycees cerevisiae) for continuous ethanol production from palm wine. This was carried out in a non-isothermal batch reactor at constant room temperature. 1.5L of palm wine solution was reacted with dry active baker’s yeast until reaction was completed. Biomass, ethanol and glucose concentration were sampled every two hours, and kinetic rate parameters for the fermentation calculated using concentration/time …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 5, Issue 2, 2019 · pp. 1–8 Read article
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Predictive Model to Monitor the Effect of Angular Momentum of an Electron in an Orbital
Abstract: Mathematical model was developed to examine the effect of angular momentum of an electron in an Orbital. The Lamor procession and vector of angular momentum function of the S,P orbitals revealed increase in the angular momentum with increase in orbital. The trend on spd orbital in terms of angular momentum shows the same behaviors as well as spdf orbital. The quantum angular momentum shows that the energy of the system …
Published in International Journal of Energetic Materials · Vol. 6, Issue 1, 2020 · pp. 38–47 Read article
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Development of Predictive Model on Corrosion of Metals in Swampy Soil Environment
Abstract: The research carried out to examine the usefulness of corrosion in metals in swampy soil. It also reveals the weight loss and corrosion rate in a metal. The following physicochemical parameters which include BOD, COD, pH and microbial activities were modelled. The extent of metal corrosion in swampy soil is dependent on many different and often interrelated factors, trying to predict what may happen to a specific object after wrecking …
Published in International Journal of Environmental Chemistry · Vol. 6, Issue 1, 2020 · pp. 15–29 Read article
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Predictive Model on Constant Pressure Drop Variable: Area Fluid Flow System in a Pipe
Abstract: The effect of density, pressure drop, and orifice area was examined in this research. The basic equation developed to represent steady-state fluid flow is the Bernoulli equation which assumes that the total mechanical energy is conserved for steady incompressible, in viscid, isotherm flow with no heat transfer or work done. These restrictive conditions can actually be representative of many physical systems. The Bernoulli’s principle was applied in explaining the design …
Published in International Journal of Mechanics and Design · Vol. 4, Issue 1, 2018 · pp. 23–34 Read article
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PREDICTIVE MODEL FOR CORROSION CONTROL IN CRUDE OIL AND GAS PRODUCTION FACILITIES
Abstract: Corrosion is a major problem in the global oil and gas industry, as crude oil and gas production operations are shut down on daily basis, because of facility failure, due to the deterioration and the loss of a facility and its critical properties due to chemical, electrochemical and other reactions of the exposed facility surface with the surrounding environment. Efforts have been made to eliminate corrosion in crude oil and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 6, Issue 2, 2020 · pp. 23–36 Read article
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A Predictive Model on Pipeline Corrosion
Abstract: A comprehensive mathematical model is developed to predict corrosion rates in pipeline. The specimenused for this design is coupons (mild steel). Four containers with different solvents of 0.5 concentrationof nitric acids, 0.5 concentration of HCl, fresh water, and saltwater respectively were provided, andthe four paired coupons were placed inside the solvent for seven days. Each day, the coupons wereremoved, washed, dried, weighed, and placed back into the solvent. The result …
Published in International Journal of Metallurgy and Alloys · Vol. 7, Issue 1, 2021 · pp. 17–26 Read article
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Predictive Model to Monitor Dissolved Oxygen Deficit and Velocity Variation Influenceon Mycoplasima Transport in Choba River
Abstract: This paper expressed various impacts from oxygen and river velocity on the transport of Mycoplasima in Choba River. The study monitor the impact of these two parameters at different pointsource of waste discharge in the River, other parameterswere integrated, but were not considered significant, since there rate of impact were not determined in the study location. The two considered parameters were applied in the system to determined their direct rate …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 1, 2020 · pp. 10–20 Read article
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Predictive Modeling of Dengue Mosquito Populations Using Artificial Neural Networksfor Effective Zapping Solutions
Abstract: The World Mosquito Programme highlights the significant global threat posed by dengue fever, estimating that over half of the world's population is at risk, with approximately 390 million cases reported annually. In 2023, India witnessed a substantial increase in dengue cases, recording over 270,000 cases compared to 74,000 in 2017. Dengue Virus (DENV) transmission occurs through Aedes Aegypti Mosquito bites, and with no specific treatment or vaccine available, effective management …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 27–36 Read article
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Predictive Model to Monitor the Rate of Dissolved Nitrogen Influenced by Void Ratio in Silty and Gravel Bed Formation in Coastal Area of Warri Delta State of Nigeria
Abstract: This paper evaluated the rate of dissolved nitrogen in silty and gravel soil formation, the study is to monitor the rate of dissolved nitrogen at different strata to phreatic bed, homogeneous formation were observed to have deposit in the study location, organic soil were insignificant since the formation deposited slight quantity, the predominant formation is homogeneous silty and grave soil strata, the void ratio deposition were at high rate in …
Published in International Journal of Construction Engineering and Planning · Vol. 4, Issue 1, 2018 · pp. 42–48 Read article
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Monitoring of Methanobacterium Migration Rate on Penetrating in Unconfined Bed in Waste Dump Site of Port Harcourt Applying Predictive Models
Abstract: This paper monitors the deposition of Methanobacterium in penetrating unconfined bed, the soil formation monitored are the lateritic and silty formation in the study location, high concentration was expected due the environment were waste are dump on regular interval, this implies that contaminant of high quantity will definitely deposit in these formation., the system developed considered parameters that can always relate to other variables that may not be at the …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 40–44 Read article
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Mathematical models in Predictive microbiology for food safety
Abstract: The study of predictive microbiology is predicated on the notion that populations of microorganisms react in a predictable manner to the conditions of their environment and that historical observations can be used to predict how populations will react in the future by looking at environments in terms of the dominant limitations they present. Predictive microbiology is a relatively new branch of the field of microbiology that has recently gained significant …
Published in International Journal of Green Chemistry · Vol. 9, Issue 1, 2023 · pp. 23–29 Read article
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Machine Learning Approaches for Customer Churn Prediction in Telecommunications
Abstract: Customer churn prediction is a critical challenge for companies in the telecommunications industry. The competition is intense, and acquiring new customers can be costly. Predicting when existing customers might leave (churn) helps companies take proactive measures to retain them, reducing churn rates and costs. By analyzing historical customer data, including demographics, service usage, billing, and customer service interactions, this study aims to identify customers at risk of leaving their current …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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Model for Prediction of Pneumatic Proportional Integral Controller Transfer Function for Step Input Process Response
Abstract: Mathematical model was developed to monitor, predict and simulate the pneumatic proportional integral controller transfer function for step input process response. The model developed was based on the geometric arrangement as well as the distance of the flapper from the nozzle was considered to be small, where the capacitance C is constant and R is the resistance of the integral restrictor. The characteristics of the process was monitored, predicted and …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 1, 2018 · pp. 28–37 Read article
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A New Model for Prediction of Wellbore Stability Using the Three Dimensional Hoek–Brown Failure Criterion
Abstract: Wellbore stability is one of the crucial issues in oil and gas industries. The issues related to instability of wells, impose significant unwanted costs on drilling operation.The objective of this paper is to present the 3D-wellbore stability prediction models for vertical wellbores. The three dimensional Hoek–Brown strength criterion developed by Zhang and Zhu conjunction with linear poroelastic constitutive model is utilized to develop the models. This models leads to easily …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 2, 2017 · pp. 10–15 Read article
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An Analytical Model to Predict a Real Time Temperature Variation During Laser Treatment of Cancer Tissues
Abstract: This work presents an analytical solution to provide a real time variation in increase of temperature during laser-treatment of cancer tissues. Energy conservation equation is used to model the respective laser treatment process considering application of the laser and related heat loss as heat source terms. The present prediction is validated first with existing literature and extended the same to predict the effect of different process variables, such as laser …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 1, 2025 · pp. 1–8 Read article
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Artificial Neural Network Model to Predict Reservoir Storage
Abstract: The rapid growth in population increases water demand thus resulting in scarcity of water which is due to improper management rather than lack of resources. Reservoir is the most important source for surface water. So, reservoir storage plays a crucial role in efficient reservoir management. Artificial neural network (ANN) is capable of simulating reservoir storage capacity. So, in present work cascade forward back propagation and feed forward back propagation network …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 1–8 Read article
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Mathematical Model for the Predictionof Compressive Strength of High Performance Concrete (HPC) Containing Saw Dust Ash and Superplasticizer
Abstract: This paper examined the prediction of compressive strength of High Performance Concrete (HPC) containing Saw Dust Ash (SDA) and Conplast SP 430 (superplasticizer), using Osadebe’s regression theory.The model developed was tested for adequacy at 95 % level of confidence using F-Statistic and was found to be reliable. A computer program written in visual basic 6.0 based on the model formulated was invoked for quick prediction of the mix ratios corresponding …
Published in International Journal of Construction Engineering and Planning · Vol. 6, Issue 2, 2020 · pp. 15–28 Read article