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45 articles for “Model Calibration”
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EFFECT OF EXPOSURE OF CEMENT ON THE COMPRESSIVE STENGTH OF CONCRETE
Abstract: Concrete has become the bedrock of infrastructural civilization in Nigeria as over 75% of the infrastructures in Nigeria have to do with concrete. Most times, Engineers design for a particular grade of concrete and Post-construction checks shows that concrete is defective of this strength and exposure of cement is observed to be one of the causative factors. In this study, the effect of exposure of cement on the compressive strength …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 34–44 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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Modeling and Analysis of the Impact of Natural Gas Composition Variations on Combustion in a Dual Fuel Compression Ignition Engine
Abstract: The desire to meet rising energy demands while simultaneously adhering to stringent climate policies has propelled advanced combustion technologies and alternative fuels. Natural gas (NG) is an attractive, domestically-available alternative that has been shown to achieve high efficiencies when used on dual fuel engines. However, the composition of NG can vary significantly depending on the source and these variations may detrimentally impact engine operation. To study these effects, a dual …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 1–14 Read article
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Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal
Abstract: The rapid decline in the energy resources forced mankind to tap other forms of natural energy resources in the light of exponential increase in the demand due to over-population. The energy from ocean waves is one of the cleanest sources of energy available perennially that changes seasonally and is site-specific. To assess the wave power potential at any site, knowledge of the wave parameters such as wave height, period and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 1–20 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Quantification of Snow/Glacier Melt Impacts of Historical and Future Climate Change on Eastern Himalayan River
Abstract: Millions of the population on Eastern Himalayan Rivers (EHR) totally depend on, domestic use, agriculture, and hydropower. Several studies found that climate warming threatens this EHR's hydrological regime. In order to understand the hydrologic response of their headwaters and how climate change affects streamflow, a hydrological modeling study is conducted in the Teesta River Basin (TRB) in EHR using an open-source Quantum Geographical Information System (QGIS) with semi-distributed QSWAT1.5 (Soil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 508–524 Read article
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Optimization Study by Response Surface Methodology and Artificial Neural Network on the Culture Parameters of Citric Acid Bioproduction from Sweet Potato Peels
Abstract: In the cause of this research work, two steps enzymatic hydrolysis of sweet potato peel was carried out respectively. The effect of α-amylase dose, reaction time, and reaction temperature and biomass weight on glucose concentration was investigated carefully. The response surface methodology (REM) predicted the highest reducing sugar concentration at liquefaction to be 74 g/L, at the following optimized conditions; temperature of 45°C, α-amylase dose 0.7 %v/v, biomass weight 22.345 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 30–38 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Fuzzy Mathematics in Decision-Making: A Quantitative Perspective
Abstract: Fuzzy mathematics plays an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and highlights other possible alternatives alongside fuzzy methodologies. Fuzzy models offer a versatile and precise approach to assessing complex and uncertain situations using fuzzy sets, membership functions, linguistic variables, and aggregation methods. Through the lenses of time, cost, and quality, the project management case study illustrates how fuzzy logic effectively evaluates …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 6–12 Read article
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Fitting Relative Permeability’s Curves Based on Laboratory Production Data for A Thermal Composite Core Flooding Experiment
Abstract: Numerical simulators are effective tools for an adequate understanding of models geological and dynamic properties under which enhanced oil recovery techniques are investigated. Core flooding experiments are usually conducted for calibrating simulated rock and fluid properties against actual test results at micro-scales, and for further scaling up processes to the reservoir scale. In this paper, laboratory experiments data were used as input for a numerical simulator to study the effect …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 41–56 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Thermo-hydraulic Performance of Multi-Pass Double-Pipe Heat Exchangers: Integrating Polymer Composite Tube Wall Materials via CFD Parametric Study and Experimental Validation
Abstract: Metallic materials such as steel and copper have traditionally dominated heat exchanger manufacturing because of their excellent thermal conductivity, mechanical strength, and long-established industrial reliability. However, their high weight, susceptibility to corrosion in aggressive operating environments, and inability to provide tunable thermal properties have motivated interest in alternative materials for next-generation thermal systems. Thermally conductive polymer composites reinforced with graphene nanoplatelets (GNP), boron nitride (BN), and carbon-based fillers offer an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Review on Advances in Polymer Composites and Nanocomposites: Design, Applications, and Life Cycle Assessment
Abstract: Materials based on polymer composites and nanocomposites have won the main status in several regions of industry by mare possessing excellent properties and broad range of application. This review focuses on the advancements in the design of fiber-reinforced polymers, structural composites, multifunctional composites, and biomimetic and eco-friendly composites. Emerging developments in biomedical composites, polymer foams, and smart composites are explored, highlighting their applications in medical, aerospace, automotive, and structural engineering. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 244–251 Read article
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A Machine Vision Approach for Geofence-based Adaptive Friction Modulation in Connected Semi-autonomous Vehicles
Abstract: Safeguarding vulnerable road user (VRU) safety necessitates fail-safes preventing collisions from semi-autonomous vehicles. Geofencing allows service-zones definition but introduces friction discouraging adoption. This paper details an onboard vision model detecting VRUs by helmet status, triggering reactionary neuro-modulations of vehicle maneuverability. The architecture encompasses a YOLOv3 detector determining pedestrian/bicyclist crossing intent through path extrapolations, calibrated using lidar-fusion correcting distance estimates. The subsequent velocity governor adapts acceleration profiles based on predicted exposure …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 22–29 Read article
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Coordinating Supply and Demand of Water to Confront Water Security in Mysuru-Nanjangud LPA: A System Dynamics Approach
Abstract: Mysuru-Nanjangud Local Planning Area is one of the Tier-II City in the state of Karnataka. Next to Bangalore, it has a high significance in potential urban development. By the year passes, demographic transitions are increasing with respect to birth rate, death rate, periurban extension, immigration and emigrations within study area. The major challenges to local authority are to meet the requirement in terms of supplying clean and safe water to …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 26–33 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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Predictors of Low Birth Weight in Tigrai Regional State, Northern Ethiopia: Hospital Based Case Control Study
Abstract: Background: Low birth weight is a serious public health crisis to neonatal survival, about 20.6 million such infants born each year and the developing world inhabits 96.5% of them and little is documented about the predictors of low birth weight in Ethiopia. Therefore, this study is intended to identify the determinants of low birth weight in governmental hospitals of Tigrai national state, Ethiopia.Method: A case-control study was carried out at …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 1, 2017 · pp. 23–32 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article