Search Results - (( simultaneously implementation a 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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A study of an efficient scheduling algorithm for simultaneous 5G multimedia Traffic
Published 2022“…Therefore, network operators need to decide on which metric to be optimized when choosing a packet scheduling algorithm to be implemented in their networks.…”
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Proceeding Paper -
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Simultaneous Localization and Mapping (SLAM) on NAO
Published 2012“…This project involves the implementation of the SLAM algorithm in the humanoid robot NAO by Aldebaran Robotics. …”
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Final Year Project -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Image enhancement and segmentation on simultaneous latent fingerprint detection
Published 2015“…A simultaneous latent fingerprint (SLF) image consists of multi-print of individual fingerprints that is lifted from a surface, typically at the crime scenes. …”
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Thesis -
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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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A hybrid algorithm for finding shortest path in network routing.
Published 2009“…Quantum algorithm is the fastest possible algorithm that can do several operations simultaneously due to their wave like properties. …”
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Article -
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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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Thesis -
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Simultaneous computation of model order and parameter estimation for ARX model based on single swarm and multi swarm simulated Kalman filter
Published 2017“…Agents interact among them to modify and enhance the solution throughout the search process. Simultaneous Model Order and Parameter Estimation (SMOPE) and Simultaneous Model Order and Parameter Estimation based on Multi Swarm (SMOPE-MS) are two techniques of implementing meta-heuristic algorithm to iteratively establish an optimal model order and parameters simultaneously for an unknown system. …”
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Article -
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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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Thesis -
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Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot
Published 2024“…Autonomous cooperating mobile robots is one of technological advancement in enabling autonomy in search and rescue task (SaR). While, simultaneous localization and mapping (SLAM) algorithm is one of a key element to enable autonomous navigation. …”
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Thesis -
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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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Thesis -
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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Article -
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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