Search Results - (( development drive selection algorithm ) OR ( java application optimization algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
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Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…The developed algorithm for the three phase induction motor couple to dc motor provides fast convergence of parameters, rapid response characteristics of the drive, and accurate tracking of the control command for the three phase induction motor drive.These performance features are highly desirable for the propulsion motor in HEVs and EVs.…”
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Thesis -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…Four standard drive cycles are selected in order to evaluate each braking strategy performance under different driving conditions. 1015 drive cycle has been used in Japan to investigate on emissions and fuel economy for light duty vehicles. …”
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ECG-based driving fatigue detection using heart rate variability analysis with mutual information
Published 2023“…In this paper, we propose developments in the feature extraction and feature selection phases in the driving fatigue detection framework. …”
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Article -
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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15
Development of straight line robot movement
Published 2012“…Application of Digital Compass Module with the aid of PID control algorithm may command to drive the servo motor to go towards in straight line platform in accordance to the desired set-point direction has been fixed. …”
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Undergraduates Project Papers -
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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20
An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein
Published 2022“…The results have shown that CNN outperformed the other two classification algorithms in terms of accuracy, precision, recall, and f-measure and was therefore selected for a recognition system that, in combination with the acquisition system, would assist traffic police and insurance firms in detecting unsafe driving behaviors. …”
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