Search Results - (( developing existing generation algorithm ) OR ( java segmentation using algorithm ))
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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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3
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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4
Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system
Published 2019“…Existing contour generation algorithm requires long computational time to generate the contour layers especially for high polygon models. …”
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Research Report -
5
Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…If t-way strategies are to be adopted in such a system, there is also a need to support test data generation based on sequence of interactions. Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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6
Contour generation for mask projection stereolithography 3D printing
Published 2019“…Existing contour generation algorithm requires long computational time to generate the contour layers especially for high polygon models. …”
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7
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system
Published 2021“…The simulation results demonstrate that the algorithm can minimize the limitations of the existing methods and it can use the PV generation system effectively. …”
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8
Multiple and solid data background scheme for testing static single cell faults on SRAM memories
Published 2013“…Finally, based on the SQ generation rule, and the development of the DB generator, MTAs are generated. …”
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Thesis -
9
T-way testing : a test case generator based on melody search algorithm
Published 2015“…This thesis is research on developing a T-Way Testing : A Test Case Generator Based On Melody Search Algorithm (TTT-MS) to generate optimum final test list. …”
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Undergraduates Project Papers -
10
Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim
Published 2016“…The proposed SFLA in this study is developed using Matlab programming. This method is tested for 15 existing power plant and five generation candidates within 10 years of planning. …”
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11
Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling
Published 2022“…A graph model is developed to generate the units’ maintenance schedule. …”
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12
Direct approach for mining association rules from structured XML data
Published 2012“…The focus of this study is to propose an enhancement on memory consumption by reducing the number of candidates generated for the existing FLEX algorithm which will reduce the amount of memory needed to execute the algorithm. …”
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13
The Bacterial Foraging Optimisation Algorithm using Prototype Selection and Prototype Generation for Data Classification
Published 2020“…Therefore, we conclude that the proposed BFOA-G is the best algorithm in the study, and PG approach is recommended for further development of BFOA as an IS algorithm.…”
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14
Survey on input output relation based combination test data generation strategies
Published 2015“…In fact, there are only a handful of existing strategies addresses IOR. This paper will review the existing combinatorial test data generation strategies supporting the IOR features specifically taking the nature inspired algorithm as the main basis. …”
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15
Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
Published 2013“…Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. …”
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16
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…The results of the proposed search-based test data generator show significant performance compared to the existing search-based test data generator.…”
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17
PhABC: A Hybrid Artificial Bee Colony Strategy for Pairwise test suite Generation with Constraints Support
Published 2019“…Pairwise testing is one of a powerful Combinatorial Testing Technique (CTT) that used widely for test data generation. Various existing research works were developed using a meta-heuristic algorithm as a basis for pairwise testing strategies. …”
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Conference or Workshop Item -
18
PhABC: A Hybrid Artificial Bee Colony Strategy for Pairwise test suite Generation with Constraints Support
Published 2019“…Pairwise testing is one of a powerful Combinatorial Testing Technique (CTT) that used widely for test data generation. Various existing research works were developed using a meta-heuristic algorithm as a basis for pairwise testing strategies. …”
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19
Repetitive mutations in genetic algorithm for software test data generations
Published 2022“…First, the limitations of existing mutation techniques used in GA to generate test data for path coverage testing were analysed. …”
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Thesis -
20
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
