Search Results - (( development programme optimization algorithm ) OR ( java effective prioritization algorithm ))
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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…The results of The Average Percentage of Fault Detected (APFD) of the Test case prioritization by the Manhattan Distance matrix have obtained a higher value, validating its hypothesized effectiveness.…”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…The result of the experiment shows that our technique able to detect multiple faults in various java programs but there is a need for improvement especially in prioritize fault that occurs simultaneously.…”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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5
Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applica...
Published 2021“…Originality/value: Attempted to develop a system with different optimization techniques. …”
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Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
Published 2023“…There are many methods that can be used for power losses minimization such as Firefly Algorithm (FA), Ant Colony Optimization (ACO) and B-losses coefficient. …”
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Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod
“…This method provides magnificent speed up over than traditional sequential implementation methods while it sensitivity detection is still remained. To optimize the performance of the algorithm by exploiting parallelism in the design several techniques have been developed. …”
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Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using ASIC design flow / Nurzaima Mahmod
Published 2010“…This method provides magnificent speed up over than traditional sequential implementation methods while it sensitivity detection is still remained. To optimize the performance of the algorithm by exploiting parallelism in the design several techniques have been developed. …”
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10
Design of DNA sequence alignment accelerated system using 2-dimensional array and custom instruction on FPGA / Nur Dalilah Ahmad Sabri
Published 2018“…The proposed 2D Array on SW algorithm has been developed and designed by using ideas over previous work of CI on SW algorithm. …”
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11
Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…A heuristic called dynamic mapping and multi-stage CPP algorithm (DMMCPP) was developed to solve CPP as resource allocation in a distributed 5G-SDN-NFV-based network. …”
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Design and development of high performance swa cell design for local DNA sequence alignment
Published 2017“…This study proposed three new DNA sequence alignment accelerator system cell design and architecture based on the Smith-Waterman Algorithm (SWA) named as the new Optimized SWA Linear Gap Penalty (OSL), Optimized SWA Affine Gap Penalty (OSA), and Optimized Recursive Variable Expansion SWA Linear Gap Penalty (ORSL). …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima
Published 2020“…Particle swarm optimization (PSO), evolutionary particle swarm optimization (EPSO), and ant colony optimization (ACO) algorithms were applied to optimize the simultaneous LM strategies of peak clipping, valley filling and load shifting in order to minimize the energy consumption and maximum demand costs, and improve economic indexes such as load factor and building economic efficiency response. …”
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Lightweight PRINCE algorithm IP core for securing GSM messaging using FPGA
Published 2023“…An energy and cost-efficient implementation of PRINCE algorithm implemented in an environment of a microprocessor system using XILINX FPGA board is developed. …”
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Design and Implementation of Advanced Encryption Standard Using Verilog HDL
Published 2020“…The focus of this paper is to match with the existing cryptography algorithm, 128-bit Advanced Encryption Algorithm and improving the processing speed for the design with hardware implementation. …”
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Performance analysis of PSO MPPT for photovoltaic (PV) system during irradiance changes / Kharismi Burhanudin
Published 2018“…The MPPT method applied to track maximum power from PV panel is particle swarm optimization (PSO). Particle swarm optimization is soft computing methods which follow the bird swarm to track maximum power from PV panel. …”
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Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
Published 2007“…The system includes a programmable visual stimulator, EEG amplifier with filter system, data acquisition card, and signal processing and classification algorithms. …”
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Design and implementation of advanced encryption standard using verilog HDL
Published 2022“…The focus of this paper is to match with the existing cryptography algorithm, 128-bit Advanced Encryption Algorithm and improving the processing speed for the design with hardware implementation. …”
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Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…Both radix-2 and radix-4 FNT modules are implemented and a further design of radix-4 FNT module, named radix-4 CTFNT module that is optimized to fit the multiplication algorithm we used is proposed. …”
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Final Year Project / Dissertation / Thesis
