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processing algorithm » processing algorithms (Expand Search)
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processing algorithm » processing algorithms (Expand Search)
element processing » melt processing (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
task algorithm » jaya algorithm (Expand Search)
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…<p dir="ltr">In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
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Socially Motivated Approach to Simulate Negotiation Process
Published 2014Get full text
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
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Automatic Video Summarization Using HEVC and CNN Features
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An improved kernelization algorithm for r-Set Packing
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A kernelization algorithm for d-Hitting Set
Published 2010“…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …”
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Improving Rule Set Based Software Quality Prediction
Published 2003Get full text
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
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Hybrid Deep Learning-based Models for Crop Yield Prediction
Published 2022“…<p dir="ltr">Predicting crop yield is a complex task since it depends on multiple factors. …”
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…Our model uses a large number of simple processing elements or neurons, based on the McCulloch-Pitts binary neuron. …”
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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
Published 2020“…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis