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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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A Framework for Privacy-preserving AI Models in Cloud Computing: Challenges and Solutions
Abstract: The growing adoption of cloud computing for deploying artificial intelligence (AI) models has led to significant advancements in sectors such as healthcare, finance, and e-commerce. However, the integration of AI with cloud computing raises critical privacy concerns, particularly when handling sensitive data. This paper presents a comprehensive framework for implementing privacy-preserving AI models in cloud environments, addressing the unique challenges, and proposing effective solutions. The suggested framework employs advanced privacy-preserving …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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Kick Tolerance Modeling in Well Design and Drilling: A Comprehensive Technical Review
Abstract: Kick and blowout events in drilling operations can lead to significant losses of equipment, and in some cases, human lives. Oil and gas companies, along with oilfield service providers involved in drilling operations, face severe penalties and sanctions following such incidents. Research has demonstrated that incorporating kick tolerance models during the well planning and drilling stages can mitigate the risk of blowouts during secondary well control operations. This study reviews …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 33–58 Read article
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Hydrological Modeling and Classification of Various Models: A Review
Abstract: Hydrology is the science which deals with the existence, movement and distribution of water of the earth, below the earth and earth’s atmosphere. As one of the branches of earth science, hydrology deals with the water in waterways and lakes, precipitation and snow, snow on the terrestrial and water underneath the earth and rocks. Hydrology has its links with meteorology, geography, measurements, science, material science and liquid mechanics. Engineers and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 1–5 Read article
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Model Predictive Control for a Distillation Column Model
Abstract: Model Predictive Control (MPC) is a multivariable control (requires specific handling of each input as coupling and interaction is of a far greater effect) and uses the internal dynamic model of the process, past control moves and an optimization cost function over the receding prediction horizon, to calculate the optimum control moves. In this paper, the relation between MPC parameters was studied on process constraints. Conical tank level single-input-single-output (SISO) …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 3, 2014 · pp. 11–19 Read article
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Design of Model-based Controllers for a CSTR Process
Abstract: The objective of this paper is to propose suitable control strategies for controlling highly nonlinear system represented by the mathematical model of the jacketed continuous stirred tank reactor (CSTR) with so called Van de Vusse reaction. The operating point of the reactor is chosen so as to give maximum yield of the desired product. The mathematical model of reactor is obtained by considering the feed flow rate (Fr) as the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 13–20 Read article
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Modeling and Control of Various Drive Train Models of DFIG Wind Turbine
Abstract: The wind energy system (WES) has been gaining popularity in recent years for the reason of its resourcefulness and intrinsic reproducibility. Power quality and transient stability are major issues of WES under the influence of fluctuating wind speeds and network outages. The study focuses primarily on the various drive train models for the DFIG wind turbine, as well as torsional oscillations produced fluctuations in wind speed. The pitch-damping control is …
Published in Journal of Aerospace Engineering & Technology · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article
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Property Estimation of Polymers: A Review
Abstract: AbstractPolymer production processes are facing the problems of optimization of production rate, increasing yield, waste minimization and environmental issues and product quality problems. These issues can be solved by designing efficient polymer manufacturing processes. Accurate properties of polymers are very important in designing efficient processes. Hundreds of property estimation methods are available for property estimation of polymers but the selection of the suitable property model is a challenging task. One …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 14–24 Read article
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The Mediation Effect of Personal Characteristics on Organisational Behaviour
Abstract: The concept of job satisfaction has been developed in many ways by many different researchers and practitioners. The Data is collected from 19 Arts and Science Colleges in Tirunelveli District. Employee Satisfaction is developed with dependence on Employee Involvement, Workplace Conflict, Working Condition. Employee retention is developed with dependence on Employee Involvement, Workplace Conflict, Working Condition. The Recursive SEM is used to test the hypothesis and solve the model using …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 2, 2019 · pp. 34–40 Read article
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AbhiGyam: A Machine Learning Model-driven Research Platform for Assessing Accessibility Infrastructure in Indian Cities
Abstract: This work presents AbhiGyam, a machine learning-driven research platform designed to streamline and automate the assessment of accessibility infrastructure in Indian cities. AbhiGyam leverages the Google Maps API to transmit street view images to the backend, where computer vision techniques are implemented using OpenAI's CLIP (Contrastive Language-Image Pre-training) model to identify objects such as ramps, sidewalks, crosswalks, and parking spaces. The accuracy of the model is validated using labeled data …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 84–91 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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Numerical Modeling of Elastoviscoplastic Material Model in Strain Space
Abstract: Conventional material non-linear analysis works with stress-space plasticity. It uses yield function, loading-unloading criteria, and flow rule in terms of stress parameters. It shows ambiguity in loading-unloading criteria for softening materials. During such situations, an alternative strain-space formulation becomes quite useful to carry out analysis of such materials. The viscoplastic response of materials requires the time integration of system of non-linear first order differential equations. In viscoplasiticy, the constitutive equation …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 9–14 Read article
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Predictability of Equation of State (EoS)-based Gas Hydrate Models for Single and Binary Gas Mixtures
Abstract: The better models are necessary to design and understand the phase behavior of produced trapped natural gas from natural gas hydrates from subsea environments. Most of the models available in an open literature are primarily applicable at relatively low pressure condition thus making their use very limited for gas hydrate reservoir modeling. In order to produce methane from these gas hydrates, it is important to understand the phase behavior through …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 83–91 Read article
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Assessing Flow Pattern of Sabarmati River Portion at Hirpura Barrage Site Gujarat, India Using HEC-RAS Hydrodynamic Models and Physical Models
Abstract: A barrage is proposed to be constructed across river Sabarmati, 60 km downstream of Daroi dam to create reservoir within the bank for recharging and meeting water demand of nearby areas. For analyzing the flow pattern and assessing the hydraulic parameters of Hipura barrage on Sabarmati river near Hirpura village of Mehsana District of Gujarat, a 3D physical model with geometrically similar scale 1:80 for river reach 3 km (1 …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 46–51 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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Visionary Fusion: Empowering Robot Sight with Model-driven Multi-band Enhancement
Abstract: Single image enhancement is crucial for improving visual quality in applications like robot vision. This study proposes a novel topic-model assisted multi-band image fusion method to enhance a single input image while preserving semantic information. The key innovation is using topic models for adaptive band fusion based on image content. Comparative experiments on benchmark datasets demonstrate that the proposed technique outperforms state-of-the-art methods in quantitative and qualitative evaluation. This study …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 11–19 Read article
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Wax Deposition Modeling and Comparison with Field Data for Some Indian Oil Fields
Abstract: One of the major determinants for flow assurance of crude oil is its constitution and involves successful management of solid deposits. Major challenges in flow assurance are adequate selection of production equipment and pipelines. Control of wax deposition and its challenge can be met with better prediction through wax modeling. Precipitation of paraffin out of supersaturated crude oil mixture is responsible for wax deposits in pipelines. The authors have seen …
Published in Recent Trends in Fluid Mechanics · Vol. 4, Issue 1, 2017 · pp. 1–15 Read article
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Mathematical Modelling of Semiconductor Device Physics: An Analytical Approach
Abstract: Semiconductor device physics forms the foundation of modern electronic and optoelectronic technologies. Mathematical modelling provides a rigorous framework for understanding, predicting, and optimizing the behavior of semiconductor devices by linking physical principles with device-level performance. This work presents an analytical approach to the mathematical modelling of semiconductor devices, emphasizing the derivation and interpretation of governing equations that describe charge transport and electrostatic behavior. The model is based on fundamental physical …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 36–42 Read article
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Weighted Latent Dirichlet Allocation, an Optimized and Generalized Probabilistic Topic Model
Abstract: In this study, we have introduced a new distribution named as Mixture Weighted Dirichlet Distribution (MWDD) which acts as generalization to other distributions viz. Dirichlet Distribution, Length or Size-Biased Dirichlet, Area Biased and Volume Biased Dirichlet distributions. Aim of this research is to introduce and implement MWDD for Probabilistic Topic Modeling of Corpus of textual data as an optimized as well as generalized probabilistic topic model. Various statistical and structural …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 18–31 Read article
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Neural Network Model Prediction: A prediction model for Toxin release in environment from E-Waste
Abstract: — There is an exponential increase in the use of electronic devices, especially mobile gadgets. Earlier people used to replace their gadgets only when they were damaged but it is not the case now. Damages are no longer the only reason for disposing of electronic devices, where technical worn out, new product features, better aesthetics and emotional value are having strong influences to the disposal of the devices. This paper …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 16–20 Read article
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Performance Analysis of Mobility over the Integrated UMTS and WLAN Network in different Mobility Models with Vertical Handoff Prediction Algorithms using Streaming Service
Abstract: The seamless mobility is the final goal of any heterogeneous network. It can be achieved by selecting a suitable vertical handoff prediction algorithm, which can perform well in different mobility models. This paper presents comparative performance of mobility over the integrated universal mobile telecommunications system (UMTS) and wireless local area network (WLAN) in different mobility models (the file-based mobility model and the random waypoint mobility model) with vertical handoff prediction …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 35–47 Read article