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1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Modeling of ZnO Based Nano Sensor Device for Evaluating Electronic Interaction with NO2 Pollutant: Combining Multiphysics Simulation and DFT Study
Abstract: This study focuses on the designing and modeling of a sensor device employing zinc oxide (ZnO) nanowires (NWs), and the evaluation of the chemical response of the same in the presence of nitrogen dioxide (NO2), which is an acute harmful pollutant for human health and environment. Experimentally synthesized ZnO nanostructures were used as the basis for modeling of the ZnO NWs based sensor device along with a single ZnO NW, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 211–219 Read article
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To Evaluate the Performance of the Selected Hybrid Systems and Validation of Mathematical Model with the Experimental Data
Abstract: The main aim of this paper to evaluate the performance of the PV-Wind hybrid systems and validation of mathematical model with the experimental model. In the research paper, the experimental model of PV-Wind Hybrid system has been installed at a height of 22 meters in the School of Energy and Environmental studies, DAVV, Indore, and M.P., India. The theoretical calculation of the wind generator output has also been compared with …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 20–28 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
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Modeling Galaxy Formation in a Hierarchical Universe: A Fiducial Approach and Comparison with Observational Data
Abstract: We have developed a detailed model to understand how galaxies form in the framework of hierarchical theories of structure formation. Our model accounts for key processes like the formation and merging of dark matter halos, the heating and cooling of gas inside these halos, the regulation of star formation driven by energy from evolving stars and supernovae, galaxy mergers, and the changes in star populations over time. This approach is …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 · pp. 30–36 Read article
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Modelling and Control of Grid-Connected PV–Battery Hybrid System Using Dynamic Voltage Restorer for Enhanced Power Quality
Abstract: The integration of large-scale photovoltaic (PV) systems into modern power grids introduces significant challenges in maintaining power quality, including voltage sags, swells, and harmonics. To address these issues, this study presents a comprehensive modelling and control framework for a grid-connected PV–Battery hybrid system equipped with a Dynamic Voltage Restorer (DVR). The PV array is modelled using detailed mathematical equations, while the DC–DC converter incorporates advanced Maximum Power Point Tracking (MPPT) …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 43–58 Read article
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Hydrodynamic and Sedimentation Modelling for Capacity Optimization of OR1, OR2, and Fertilizer Berths at Visakhapatnam Port, India
Abstract: This study presents comprehensive hydrodynamic and sediment transport modeling undertaken to assess the impact of proposed deepening and development at the Western Arm of the Visakhapatnam Inner Harbor, India, encompassing OR1, OR2, and Fertilizer berths. The work, carried out by the Central Water and Power Research Station (CWPRS) for the Visakhapatnam Port, utilized the MIKE 21 Flexible Mesh (FM) finite-volume model to simulate hydrodynamic and siltation conditions under existing and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 33–51 Read article
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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Perceptual Features Based Continuous Speech Recognition in Additive Noise Environment Using Various Modelling Techniques
Abstract: The main objective of this paper is to discuss the effectiveness of Mel frequency perceptual features and the noise reduction technique in evaluating the performance of multi speaker independent continuous speech recognition system in additive noise environment by using various modelling techniques. The proposed perceptual features are captured and trained using clustering technique, GMM, continuous density HMM and back propagation neural networks. Speech recognition system is evaluated on clean and …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 67–81 Read article
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Model to Predict a Ratio Control of Hydrocarbon Acid and Water in a Packed Bed Reactor
Abstract: Model development was carried out to examine the ratio of hydrochloric acid gas and water in a packed bed reactor. The research predicted increase in output with increase in time, revealing the effectiveness ratio control of hydrochloric acid separation from water using absorption column mechanism. The density of the products played an active role in the separation process as well as in control action function. The developed model can be …
Published in Emerging Trends in Chemical Engineering · Vol. 8, Issue 1, 2021 · pp. 45–52 Read article
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Hexavalent Chromium Resistance Test of Saccharomyces Cerevisiae and Modeling of its Bioaccumulation Process
Abstract: Now a day, the release of high chromium containing tannery waste water from tanning industries to the environment is the life threatening action of human activities and bioaccumulation becomes a better alternative in treating heavy metals(such as Cr(VI) )due to its cost effective, relatively high heavy metal removal capacity and recovery property. Cell suspensions of S.cerevisiae at its exponential growth phase were added to 250 ml plastic flasks of containing …
Published in Emerging Trends in Chemical Engineering · Vol. 8, Issue 1, 2021 · pp. 36–44 Read article
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Modelling and Evaluation of Kinetics of Methane Chlorination using Matlab Techniques
Abstract: The chlorination of methane follows series-consecutive reaction mechanism to yield the chloromethanes products. The equation of reaction comprised of four consecutive step chemical reaction equations. The kinetics model for chlorination of methane into monochloromethane, dichloromethane, trichloromethane and tetrachloromethane was developed from the chemical reaction equations. In the elementary rate equation, the concentration of chlorine was assumed to be in excess, reducing the model to first order kinetics. The developed model …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 2, 2020 · pp. 31–36 Read article
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Studies on Modelling of Mechanical Properties of Polyester-based Semi-rigid Polyurethane Foams
Abstract: This paper describes the mechanical behaviour of castor oil based semi rigid polyurethane foams with relative density below 0.05moulded by varying isocyanate index (Isocyanate equivalent/hydroxyl equivalent) from 1:1 to 1:2. Mechanical properties of polyurethane foam mainly compressive strength is measured experimentally and the values were compared using three widely referred theoretical models namely: (i) the Empirical model (ii) Gibson and Ashby approach widely used for foam description and (iii) modified …
Published in Journal of Polymer & Composites · Vol. 8, Issue 1, 2020 · pp. 77–86 Read article
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Application of Dynamic Phasor Model as an Alternative to DFT in Phasor Measurement
Abstract: This paper presents the application of dynamic phasor based models as an alternative to the Discrete Fourier Transform (DFT) commonly used in the Phasor Measurement Units (PMU). The paper demonstrates that the computation of a phasor using DFT in discrete time domain is equivalent to the computation of phasor (Dynamic Phasor) in continuous time domain. This paper proposes the application of dynamic phasor based models to simulate a Wide Area …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 46–52 Read article
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Ni-MH Battery Dynamic Model with Reversible DC Machine and a Constant Load for Electric Vehicle Applications
Abstract: The global issues like fossil fuel burning and pollution created have become a headache for the whole world, and therefore the Electric Vehicles (EV) are getting high attention. This paper deals with the Ni-MH battery model for the EV applications. The model described in the paper is entirely dynamic. A test bench is created in the Matlab/Simulink® for the dynamic battery model. Few tests were conducted to prove the adaptability …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 30–37 Read article
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Dynamic Modelling of Natural Draft Cooling Tower (Case Study of Notore Chemical Company)
Abstract: Determining the impact of air, water, and temperature flow rates on the cooling tower of Notore Chemical Industries is the aim of this study. Using a dynamic and simulation model derived from fundamental ideas, this study produced a model equation for an ordinary differential equation. The Runge-Kulta ODE45 technique, which was implemented in MATLAB R2022A, was then used to solve the model equation.The twenty-four-hour simulation runs at one-hour intervals. To …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 18–24 Read article
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Modelling of Skin Effect in On-Chip VLSI RLC Global Interconnect
Abstract: This paper addresses one of the aspects of the high frequency effects, namely the skin effect. The basicproblem with skin effect is that it attenuates the high frequency components of a signal more than that ofthe low frequency components. Due to the increase in operating frequency and die sizes, RC models arebecoming insufficient for analysis of global VLSI interconnects. Accurate noise modelling for RLC lines isthus critical for timing and …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 31–44 Read article
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Stochastic Modelling for Generating Monthly and Annual Rainfall at Rajasthan
Abstract: Rainfall is a phenomenon, which directly or indirectly affects all the sectors like agriculture, insurance, industry and other allied fields. It is well established that the rainfall is changing on both the global and the regional scales due to global warming. So the prediction of actual amount of rainfall is very complex till now. But now a day’s stochastic rainfall models are widely used in hydrologic analysis for rainfall forecasting. …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 28–39 Read article