Search Results - (( java segmentation using algorithm ) OR ( programming problems towards algorithm ))
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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 -
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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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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
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An investigation towards hostel space allocation problem with stochastic algorithms
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Enhancing problem-solving skills of novice programmers in an introductory programming course
Published 2023Article -
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…As for WXES3l82, the thesis cover the development of programming code, the code implementation and testing and the evaluation including discussion about the problem/constraints meed in the coding program development. …”
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Integrated Optimization Algorithm in Solving Economic Dispatch Problems
Published 2024“…The proposed algorithm has been compared with the existing techniques, Multi-objective Barnacles Mating Optimizer and Multi-objective Evolutionary Programming. …”
Conference Paper -
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A 16kV distribution network reconfiguration by using evolutionaring programming for loss minimizing
Published 2014“…In the worldwide trend toward restructuring the electricity network; there are a lot of problems. …”
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Line follower balbot
Published 2010“…As a result of combination between line follower program and internal self balancing algorithms, we able to develop a dynamically stabilized Balbot with line follower function.…”
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Undergraduates Project Papers -
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A novel algorithm for collaborative behavior of multi-robot in autonomous reconnaissance
Published 2011“…Robots in a group can solve problems in fundamentally different ways than individuals while achieving higher levels of performance, however, programming and coordination of a group of robots poses big challenge. …”
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Proceeding Paper -
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Optimal multiple distributed generation output through rank evolutionary particle swarm optimization
Published 2015“…By hybridizing the Evolutionary Programming (EP) in Particle Swarm Optimization (PSO) algorithm, it will allow the entire particles to move toward the optimal value faster than usual and reach the convergence value. …”
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Linear programming approach for scheduling sports league problems in Malaysia
Published 2017“…In this thesis we propose to formulate a linear programming (LP) model to schedule sports league problems in Malaysia whereby the tournament style will be definitely different from Home-Away restriction. …”
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Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks
Published 2020“…The mathematical formulation of the max-min energy efficiency is a non-convex fractional programming problem and is intractable. Thus, the fractional programming theory is adopted to transform the problem into a sequence of subtractive form, followed by the Sequential Convex Programming (SCP) approach to determine the optimal solution. …”
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Automated time series forecasting
Published 2011“…While quantitative technique is based on statistical concepts and requires large amount of data in order to formulate the mathematical models.This technique can be classified into projective and causal technique.The projective technique (or univariate modelling) just involve one variable while the causal technique (or econometric modelling) suitable for multi-variables.Since forecasting involves uncertainty, several methods need to be executed on one set of time series data in order to produce accurate forecast.Hence, usually in practice forecaster need to use several softwares to obtain the forecast values.If this practice can be transformed into algorithm (well-defined rules for solving a problem) and then the algorithm can be transformed into a computer program, less time will be needed to compute the forecast values where in business world time is money.In this study, we focused on algorithm development for univariate forecasting techniques only and will expand towards econometric modelling in the future.Two set of simulated data (yearly and non-yearly) and several univariate forecasting techniques (i.e. …”
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Monograph -
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Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…Therefore, a hybrid algorithm through an incorporation of Integer Programming and Improved Genetic Algorithm was proposed for planting lining design. …”
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Trajectory tracking control of two wheels mobile robot = trajektori kawalan penjejakan sistem robot dua tayar
Published 2011“…As a result of combination between line follower program and internal self balancing algorithms, we able to develop a dynamically stabilized Balbot with line follower function.…”
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Trajectory tracking control of two wheels mobile robot
Published 2011“…As a result of combination between line follower program and internal self balancing algorithms, we able to develop a dynamically stabilized Balbot with line follower function.…”
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