Search Results - (( developing human expert algorithm ) OR ( java implication based algorithm ))
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Metric's thresholds for encoding evolutionary computing representation in software engineering problem
Published 2015“…This paper presents metrics thresholds encoding algorithm as an alternative to replace human experts in developing problem representation. …”
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A genetic algorithm based fuzzy inference system for pattern classification and rule extraction
Published 2023“…For a simple system, fuzzy if-then rules are usually derived from the human experts. However, in the event of having multiple variables coupled with a few features, the classification problem will be getting more sophisticated, as a result human expert may not be able to derive proper rules. …”
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Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…In comparison to human performance, the algorithm's performance closely matched that of human with 94 accuracy in identifying the syntax level strategies. …”
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SENSORY EXPERT: DEVICE FOR SENSORY TEST
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Regionalization by fuzzy expert system based approach optimized by genetic algorithm.
Published 2013“…Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. …”
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Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin
Published 2018“…This automated segmentation algorithm has been benchmarked against manual segmentation by human experts. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…Modifications of K-Means structures were done by inserting genetic algorithm operators and tuning the population. This study will also tune the generation size to see whether it have an impact on producing high agreement result with human experts. …”
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'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al...
Published 2024“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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Book Chapter -
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Development of Low Cost Heart Rate Monitoring Device and Classification Technique Using Fuzzy Logics Algorithm
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Final Year Project -
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'Chapter 10: 5G-enabled IoT applications in healthcare: Transforming the Industry 5.0 healthcare landscape' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 T...
Published 2024“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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Book Chapter -
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Professional and public accreditation as an assessment of agricultural educational program quality in Russia / Natalya A. Medvedeva, Nikolay G. Malkov and Marina L. Prozorova
Published 2021“…In this paper, an algorithm has been developed to expert training quality improvement.In general, the result of the work will contribute to the training of personnel for the industry and will ensure the achievement of a balance of qualifications between the labor market and agricultural education.…”
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Modeling forest fires risk using spatial decision tree
Published 2011“…This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. …”
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Fabrication of a Hand-held Electronic Nose
Published 2009“…An electronic nose is a device that performs the electronic olfactory to substitute human experts. The development of these devices is growing faster due to higher demand. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof
Published 2020“…The future work of this project is to develop a system by using the same domain but with different algorithm and compare the result with the current result obtained from the system…”
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