Search Results - (( using computational fluid algorithm ) OR ( using optimization method algorithm ))
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1
Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources
Published 2021“…In this research, a novel algorithm (Herschel Bulkley Network) is introduced to simulate the non-Newtonian fluid flow in a pipe using data redundant deep neural network (DNN) for fully developed, laminar, and incompressible flow conditions. …”
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2
Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation
Published 2020“…The impact of each input parameter affecting the pressure drop is quantified using the RF algorithm. © 2020 by the authors.…”
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3
Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
Published 2014“…Back in the days, before computers and IT were widely used, history matching was done manually by trial and error method, where personal judgment were very critical in undergoing such methodology. …”
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4
Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method
Published 2015“…A second correction step is added to the pressure value and the velocity vectors using Simplified Marker and Cell method (SMAC). This new scheme is applied on staggered grid using implicit finite difference methods in order to achieve second order accuracy. …”
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5
Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method
Published 2015“…A second correction step is added to the pressure value and the velocity vectors using Simplified Marker and Cell method (SMAC). This new scheme is applied on staggered grid using implicit finite difference methods in order to achieve second order accuracy. …”
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6
Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…There is no particular study which focuses on the optimization and prediction of blades parameters using natural inspired algorithms namely Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) and Adaptive Neuro-fuzzy Interface System (ANFIS) respectively for optimal power coefficient (�436�45D ). …”
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7
Mapping of hydrocarbon with marine EM method using 2-D forward modeling
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8
Development and implementation of Intelligent Soot Blowing Optimization System for TNB Janamanjung
Published 2023Conference Paper -
9
Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications
Published 2020“…The propsed algorithm could be valuable aid for analyzing the fluid flow and reservoir simulation in an effective manner. …”
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10
CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers
Published 2022“…Numerical analysis of the flow process was carried out using the computational fluid dynamics (CFD) technique and was validated by experiments. …”
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11
DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH)
Published 2011“…GMDH is an inductive algorithm for computer-based mathematical modeling using neural network with active neurons that optimizes model coefficients for predetermine mathematical equation and selects the optimal model complexity. …”
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Final Year Project -
12
Object tracing from synthetic fluid spray through instance segmentation
Published 2024“…The resulting objects were then analyzed using a customized nearest neighbor algorithm to calculate their correspondence between frames and a BFS algorithm was used to trace their movement path. …”
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13
A novel design of an isochronous integration [iIntegration] framework for first/second order multidisciplinary transient systems
Published 2015“…Focusing on the class of the linear multistep (LMS) methods, algorithms by design was first utilized to develop GS4-2 framework for time integration of second order systems. …”
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14
Comparative Analysis of Pneumonia Detection from Chest X-Ray Images Using CNN And Transfer Learning
Published 2024“…On a dataset of accessible pneumonia X-rays, the method was tested. This research shows which neural network algorithm is optimal for detecting pneumonia, and how medical practitioners might use it in the actual world. …”
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15
Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization
Published 2022“…ADA-LR was selected as the primary model according to numerical and visual analysis. Finally, the optimal values are (P = 400 bar, T = 3.38 K 102, Y = 1.064 10ˉ³ mol fraction) using this model.…”
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16
Development of Fluid Properties Correlation For Malaysian Crude
Published 2013“…This project will be used MATLAB software and Microsoft Excel through the method of Group Method of Data Handling (GMDH) . …”
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Final Year Project -
17
Online optimal tuning of fuzzy PID controller using grey wolf optimizer for quarter car semi-active suspension system
Published 2024“…Here the magnetorheological damper (MR) fluid with the Fuzzy PID controller was examined to optimize using the GWO algorithm. …”
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18
Multi-parametric optimization of aerodynamic performance and pedestrian crash in sedan front-end profiles
Published 2025“…A multiobjective optimization framework was developed using computational simulations, mathematical modelling, and evolutionary algorithms. …”
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19
Assisted History Matching by Using Recursive Least Square and Discrete Cosine Transform
Published 2014“…Thus, this project is carried to do assisted history matching and to determine whether Recursive least square as optimization method and Discrete cosine transform as parameter reduction method can be combined or not. …”
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Final Year Project -
20
Finite Element and Differential Quadrature Methods for Heat Distribution in Rectangular Fins
Published 2009“…For two-dimensional case, this technique is so far used to solve Poisson’s equation and some fluid flow problems but not the heat conduction problems in fins. …”
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