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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
2
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Book -
3
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
4
Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. …”
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Article -
5
Hardware And Software Partitioning Using Genetic Algorithm In Image Processing Application
Published 2018“…It is 4.65% faster than pure hardware solution and 26.6% faster than pure software solution. …”
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Monograph -
6
Single-solution simulated Kalman Filter algorithm for routing in printed circuit board drilling process
Published 2018“…It uses only a single agent to solve optimization process by finding the estimate of the optimal solution. …”
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Book Chapter -
7
Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…Two modified genetic algorithms are devised and employed to provide the best approximate process planning solution. …”
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8
The concept of wound healing algorithm
Published 2023“…The purpose of this paper is to present a new optimisation algorithm based on nature-inspired wound healing process. …”
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Proceedings -
9
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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Thesis -
10
DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES
Published 2014“…In addition, the solution characteristics produced by these algorithms were also analysed and its influence on the algorithmic performance was ascertained. …”
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Thesis -
11
Development of symbolic algorithms for certain algebraic processes
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Monograph -
12
Hardware Software Partitioning Using Particle Swarm Optimization (PSO) In Image Processing Application
Published 2018“…Then the data will be processed in MATLAB using PSO algorithm to determine the optimal result in partitioning. …”
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Monograph -
13
Development of symbolic algorithms for certain algebraic processes
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Monograph -
14
Overview of metaheuristic: classification of population and trajectory
Published 2010“…Algorithms are used to find the solutions through the computer program. …”
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Monograph -
15
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…The process of finding superior solutions mimics the evolution process, with solutions being combined or mutated to find out the pool of solutions. …”
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Monograph -
16
A novel clustering based genetic algorithm for route optimization
Published 2016“…The process was repeated until convergence to global solution was achieved or number of generation elapsed. …”
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Article -
17
Parallel metaheuristic algorithm for route planning using CUDA
Published 2025“…The proposed approach will be utilizing the Compute Unified Device Architecture (CUDA) to enhance the performance and efficiency of metaheuristic algorithms in finding optimal solutions for the TSP by leveraging the parallel processing capabilities of Nvidia Graphics Processing Units (GPUs). …”
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Final Year Project / Dissertation / Thesis -
18
Process Sequencing Modeled as TSP with Precedence Constraints - A Genetic Algorithm Approach
Published 2014“…In this study a new genetic algorithm (GA) procedure is developed which includes chromosome’s repairing strategy based topological sort to handle the precedence constraints and to generate only feasible solution during the evolutionary process. …”
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Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes
Published 2020“…A Pareto optimal set is a set of solutions that are non-dominated solutions frontier. …”
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