Search Results - (( developing turning process algorithm ) OR ( java implication drops algorithm ))
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Optimization of turning parameters using ant colony optimization
Published 2008“…The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. …”
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Undergraduates Project Papers -
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…An Intelligent Learning System for the turning process was developed. Visual C++ object-oriented programming language was used to build the Intelligent Learning System for Turning. …”
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Energy cost optimization in high speed hard turning using simulated annealing algorithm
Published 2015“…Regression models have been developed by using Box-Behnken design as a design of experiment. …”
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Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…A neural-fuzzy model has been developed to represent machinability data selection in turning process. …”
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Development of vision autonomous guided vehicle behaviour using neural network
Published 2012“…The objectives of this project are to develop a line recognition algorithm for automated guided vehicle and to understand two types of neural networks that can be use in manufacturing. …”
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Undergraduates Project Papers -
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Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system
Published 2010“…These developed algorithms are tested on 14, 118 and 300 IEEE bus systems. …”
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The effects of compiler optimizations in face recognition system
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Development of Graphical User Interface (GUI) for Antenna Design
Published 2016“…Besides, the introduction of new antenna elements has added to the complexity of antenna, which in turn slower down the antenna design process. Thus, GUI is a crucial tool to speed up the antenna design process, at the same time providing the synthesis and analysis of antenna performance. …”
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Final Year Project -
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VHDL modeling of EMG signal classification using artificial neural network
Published 2012“…The acquired and processed EMG signal requires classification before utilizing it in the development of interfacing which is the most difficult part of the development process. …”
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A GPU accelerated parallel genetic algorithm for the traveling salesman problem
Published 2024“…The problem was classified as NP-Hard. Several different algorithms were developed to solve the problem; among them, the Genetic Algorithm was used to deal with it. …”
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Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin
Published 2019“…When development of cities took place, consequently will increase the concentration of carbon dioxide in the atmosphere which in turn affecting the surface energy budget and indirectly may affect in global climate. …”
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Experimental Analysis on Parameters Affecting the Material Removal Rate in Wire Electrical Discharge Turning using the Taguchi Method
Published 2018“…By using similar experimental data, the regression equation was developed to represent as fitness function for optimisation by genetic algorithm (GA). …”
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Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network
Published 2020“…Due to good gender classification techniques, the implication of this study is evident in the area of forensic anthropology where the process of developing a biological profile can be shortened which in turn enhances the productivity of anthropologists.…”
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Lane markings detection based on e-maxima transformation and improved hough
Published 2012“…Most lane models, either simple or lack of flexibility or complex, may cause heavy computation in processing the time needed. The feature of roadway has certain degree of curvature and constraints, for instance, no sudden road turn is the design for road safety driving. …”
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Selective chaotic maps Tiki-Taka algorithm for the S-box generation and optimization
Published 2021“…., ensuring the generated S-box is sufficiently robust against linear and differential cryptanalysis attacks), many chaos-based metaheuristic algorithms have been developed in the literature. This paper introduces a new variant of a metaheuristic algorithm based on Tiki-Taka algorithm, called selective chaotic maps Tiki-Taka algorithm (SCMTTA). …”
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…Here, the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BiGRU model. …”
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Cognitive selection mechanism performance in IEEE 802.11 WLAN
Published 2013“…The enhancement reaped from the developed selection algorithm is expected to bring benefit to different user at various places…”
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Optimization of neural network architecture using particle swarm algorithm for dissolved oxygen modelling in a 200L bioreactor PHA production
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