Search Results - (( developing implementation case algorithm ) OR ( implementation _ using algorithm ))
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…We have chosen four neighborhood based algorithms which are commonly used in optimization problems and divided them in newly implemented and re-implemented category. …”
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Thesis -
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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The Development Of System For Algorithms Visualization Using Simjava
Published 2020“…Algorithm visualization (AV) uses graphics to portray an algorithm's actions. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…For WXES318l, the thesis only cover the first part of A • development and implementation that includes the algorithm flowchart, pseudocode and the calculation process of the formula for the shortest route (F = G + H). …”
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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…The framework is used to increase the implementation performance of quantum algorithms. …”
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Development of symbolic algorithms for certain algebraic processes
Published 2007“…From a general algorithm using the comrade matrix approach, the nonmodular and modular techniques are prescribed. …”
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Monograph -
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Development of symbolic algorithms for certain algebraic processes
Published 2007“…From a general algorithm using the comrade matrix approach, the nonmodular and modular techniques are prescribed. …”
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Monograph -
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An improved algorithm in test case generation from UML activity diagram using activity path
Published 2011“…This paper proposed an improved algorithm to automatically generate test cases directly from UML activity diagram using an activity graph.This algorithm has been implemented as a prototype using UML activity diagrams as inputs to generate test cases.These generated test cases are generated automatically are compared to test cases that are generated manually in order to evaluate the algorithm’s usability and reliability.The result shows that the test cases generated by the developed test case generator program are the same as the one manually derived.…”
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FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Published 2016“…According to the results obtained from the developed algorithm and implementation tools, a high number of users can be physically possible and provided with support. …”
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Fetal QRS complex Detection Algorithm for FPGA Implementation
Published 2005“…Hardware description language - VHDL has been used to implement the algorithm for FPGA implementation. …”
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Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Complexity reduction approach concept is used to develop these algorithms. This approach split the solution domain into 1 3 and 2 3 compartments in 1D case and 1 9 and 8 9 compartments in 2D cases. …”
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13
Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases.…”
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Undergraduates Project Papers -
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Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…The results show that the Case-Based Reasoning model has a great potential to be implemented in diagnosing Thalassaemia cases.…”
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Undergraduates Project Papers -
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Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation
Published 2016“…In order to help test engineers to make informed decision on the best neighborhood based implementations, this paper investigates the size and time performance of two MC/DC test strategies re-implementation based on Simulated Annealing against two newly developed strategies based on Great Deluge and Late Acceptance Hill Climbing algorithms respectively. …”
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Implementing a T-Way Test Generation Strategy Using Bees Algorithm
Published 2013“…This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). …”
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Implementing case-based reasoning approach to framework documentation
Published 2023“…In CBR, reasoning is based on remembering past cases. Genetic algorithm (GA) is used in implementing the CBR's "retrieve", "reuse", and "revise" steps. …”
Conference paper -
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Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System
Published 2018“…The BSA MPPT model, together with a well-established particle swarm optimization (PSO) algorithm were developed and implemented with a DC-DC boost converter in MATLAB Simulink. …”
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Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…The aim of this thesis is to develop hardware design for palm-dorsa vein image enhancement algorithm. The algorithm is designed in hardware using hardware description language for hardware realization. …”
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Faculty timetabling using genetic algorithm
Published 2011“…Faculty Timetabling using Genetic Algorithm (FTGA) is an application that generate optimum timetable for faculty.The target user of this application is faculty staff who responsible in generate timetable.The problem statement of the project is many clashing exist in the timetable.Faculty staff needs to solve the clashing manually.This will waste time and it is a problem for staff to solve the clashing.By implement GA,clashing will be reduced.The objective of the project is to develop aprototype in scheduling application for generates an optimum timetable for a faculty.Genetic algorithm will be implemented.The scope of FTGA is Faculty of Computer Systems & Software Engineering (FCSSE).The methodology use in this project is prototype model.The testing result show 95 out of 100 test cases achieved the maximum fitness value which means there is no clashing in the timetable.The maximum generation is set to 15 generation.Population for each generation is 3 populations.Percentage of FTGA solve the problem is 95%.…”
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Undergraduates Project Papers
