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Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Regression testing is conducted to ensure that changes made to a software satisfy the requirements and do not adversely introduce bugs to its existing functionalities. It involves the process of re-testing software after modifications. …”
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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…However, present complex algorithms which are accurate require high processing power using a large size of learning dataset without labelling error. …”
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FaaSBid: an auction-based model for Function as a Service in edge-fog environments using unallocated resources
Published 2026“…Function as a Service (FaaS) is becoming a popular method to process such IoT workloads. …”
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…Our experimental results show that the proposed algorithms outperformed CPLEX across several assessment aspects, including solution quality and execution time. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…The circuits have been designed by proteus, the microcontrollers have been programmed by micro C, and the Graphical User Interface (GUI) has been implemented in Java. Few by electronic components such as RFID, multiplexer, XBee, and servo motors have been used to realize the system. …”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation
Published 2014“…To accomplish the denoising process, our algorithm was compared with the various the standard denoising algorithms that were mentioned earlier.…”
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Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
Published 2010“…Noise image can be removed effectively with PIFS algorithm but the problem is high computational complexity in the searching process.…”
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To study the multi-objective optimization of EDM using genetic algorithm
Published 2013“…A machine such as EDM (electro discharge machine) used to produce a product that require an accurate product quality. EDM is one of the most accurate manufacturing processes for creating geometric shapes whether complex or simple in parts and assemblies. …”
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…The pruning process improves processing time. In addition, BOCEDS proposes an online micro-cluster energy updating function based on the spatial information of the data stream. …”
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Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain
Published 2022“…A predetermined optimization goal can be achieved by quantifying the quality measures, also known as fitness functions, objective functions, or goodness levels. …”
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Monograph -
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A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network
Published 2015“…The experimental result have proved that ACO-PFMDM have improved the overall performance of protein functional module detection. The search process of ACO-PFMDM has converged effectively compared to some state-of-art algorithms. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt
Published 2020“…Therefore, the execution time of the image processing algorithm is also an essential aspect of quality. …”
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…The system is capable in operating an off-line programming method, starting from its programming sequences until robotic implementation of the program. During early stages, the research is emphasis more towards designing a robotic system using RoboLab software and C++ programming language. …”
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Conference or Workshop Item -
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A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network
Published 2018“…The experimental result have proved that ACO-PFMDM have improved the overall performance of protein functional module detection. The search process of ACO-PFMDM has converged effectively compared to some state-of-art algorithms. …”
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