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1917 articles for “V-model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Dynamics of Prey Predator Model with Harvesting of Prey
Abstract: In this paper we studied the dynamics of prey-predator model with Holling type-II response. The predator is generalist type and can sustain in absence of prey. In addition to that a constant harvesting effort is induced in the prey species. The model is characterized by a couple of differential equations. The well posed ness of the model is established. The system is bounded, exhibits positive solutions and persistence. The possible …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 3, 2023 · pp. 24–33 Read article
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Modelling of Spot Weld Features Using Solid Works and Experimental Modal Analysis of Resistance Spot Welded Thin Sheets of Low Carbon Steel Panels
Abstract: Resistance Spot Welding of thin (RSW) low carbon steel sheets are widely used in automotive, aero-space sectors, furniture, medical equipments, packaging and electronics industries. Although, RSW is well established for low thickness sheets and static design guidelines are well defined, the dynamic analysis of spot welded panels has not been studied in detail. In this paper, solid modeling is done using Solid Works incorporating all the spot weld geometrical features …
Published in Trends in Machine design · Vol. 10, Issue 3, 2023 · pp. 29–39 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Bending and Single Edge Notch Bending Test (SENB) Investigation of Natural Fiber- Reinforced Epoxy Composites using Machine Learning
Abstract: The present study aims to determine the behavior of hemp fiber-reinforced epoxy composites in terms of bending behavior and fracture toughness under bending load resembles the substitutive behavior of existing synthetic composites. The fabrication was carried out by hand lay-up assembly of hemp fiber with Lapox-12 epoxy resin volume fraction of 60:40 fiber: matrix volume. Flexural testing revealed an average strength of 93.5 ± 2.8 MPa and SENB testing revealed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 59–69 Read article
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Tourism Promotion Website Using Three.js
Abstract: A tourism promotion website using Three.js can be built using a JavaScript library to create interactive 3D graphics and animations. The website displays popular tourist destinations in the form of 3D models, allowing users to explore and interact with the models in a virtual environment. The website also includes information about destinations such as Historical context and cultural significance. One of the key features of Three.js is its use of …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 19–28 Read article
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A MODEL DRIVEN APPROCH FOR REQUIREMENTS ENGINEERING OF INDUSTRIAL AUTOMATION SYSTEM
Abstract: A model-driven approach to developing multiple, consistent user interfaces for your application. An Abstract UI (AUI) model constrained to dialogue flow maintains the fundamental similarities of different user interfaces.. In particular, we will consider how to customize the User Interface at his AUI level by deriving and customizing dialog structures that take into account the limitations imposed by the front-end platform or novice user. The generated user interface is integrated …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 3, 2022 · pp. 1–4 Read article
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Outlet of Models in Parallel Computing
Abstract: AbstractThe approach of high performance computing (HPC) and graphics processing units (GPU), show a tremendous calculation asset for large information exchanges (huge information) that require parallel handling for hearty and incite information examination. While various HPC structures have been proposed, parallel programming models exhibit various difficulties – for example, how to completely use highlights in the distinctive programming models to actualize and oversee parallelism by means of multithreading in both …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 1, 2017 · pp. 20–29 Read article
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Evaluating Lift Systems For Oil Wells Using Integrated Production Modeling: A Case Study Of A Niger Delta Field
Abstract: An integrated production model for evaluating artificial lift systems is presented in this study to ascertain the need to install an artificial lift system or continue with natural flowing mode. An integrated model comprising of reservoir, wellbore and surface facility models representing basic stages of production. The integrated model took into consideration, factors that affect the liquid production at these stages and provide total liquid production at the surface, which …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 32–48 Read article
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Hydrodynamic Assessment of a Proposed FSRU Development in the Visakhapatnam Outer Harbour
Abstract: This study presents a detailed hydrodynamic assessment of a proposed Floating Storage andRegasification Unit (FSRU) in the Visakhapatnam Outer Harbour. A depth-integrated, two- dimensional hydrodynamic model was developed using MIKE-21 Flexible Mesh (FM) to quantify theinfluence of the terminal layout, dredged pocket configuration, and vessel presence on tidal circulation, freshet-driven flows, and extreme-event conditions. Baseline simulations were performed using existing bathymetry and operational geometries, followed by proposed configurations that included …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 39–49 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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Continuous Commissioning Techniques for Ground Source Heat Pumps: Review
Abstract: This study offers a model-based continuous commissioning methodology to find control-related performance gaps in HVAC systems with ground-source heat pumps. Traditional continuous commissioning is still helpful in finding energy performance gaps, even if MBCCx employs a system model as a reference to find operational inefficiencies and control issues arising from subsystem integration. A calibrated physics-based model that depicts the system performance as intended during the design phase forms the basis …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 22–36 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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An Experimental Investigation of Process Parameters for Aluminum Alloy Composites
Abstract: The objectives of this work are to develop an aluminum alloy composites and investigate machining process parameters effect on the tool wear rate for composites. The composite is enhanced using silicon carbide and graphite. The composite is made by a method called stir casting. Furthermore, it is investigated both mathematically and experimentally. This study takes trial on aluminum alloy composite to see output characteristics tool wear rate are affected by …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 185–193 Read article
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Seasonal Variations of Air Quality Measures In Owerri Metropolis and Isiala Mbano, Nigeria Using MATLAB Model.
Abstract: This study reports the investigation of seasonal variation of air quality measures in Owerri Metropolis and Isiala Mbano L.G.A in Imo State. Parameters such as NO2, CO, Cl, SO2 and TPM were monitored in air samples during the dry and rainy seasons using a portable gas analyzer and particulate matter analyzer for the gases and TPM respectively. Water samples were collected from open air and were analyzed for heavy metals …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 2, 2023 · pp. 15–80 Read article
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Analysis of Flow in Calandria Type Evaporator Using CFD
Abstract: Evaporation is the vital process involved in the sugar industry as this determines the quality and their efficiency at the earlier stage of production. Factors affecting the evaporation process are mass flow rate, temperature, pressure and velocity. Since flow of the sugar solution within the evaporator has a major impact on its overall performance a detailed study on it will be much useful to improve the efficiency. The flow of …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 2, Issue 1, 2015 · pp. 55–65 Read article
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Graphene and 2D-Material-Based Transistors for Next-Generation Nanoelectronics: Device Modeling and Performance Analysis
Abstract: The continuous scaling of conventional silicon-based metal-oxide-semiconductor field-effect transistors (MOSFETs) has created increasing challenges related to short-channel effects, leakage current, electrostatic control, power consumption, and variability. Two-dimensional (2D) materials have emerged as promising channel materials for future nanoelectronics devices because of their atomically thin thickness, strong electrostatic controllability, and van der Waals interfaces provide opportunities for aggressive device scaling. Graphene, transition-metal dichalcogenides (TMDs), black phosphorus, hexagonal boron nitride, and related …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 2, 2026 Read article