Search Results - (( java implementation mining algorithm ) OR ( quality function matching algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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5
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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8
Disparity map algorithm for stereo matching process using local based method
Published 2022“…The proposed SVDM algorithm involves four stages which starts from matching cost computation. …”
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9
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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10
Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Fractal coding of bio-metric image for face authentication
Published 2021“…In the encoding, the fractal function converges to its self-similarity as IFS. …”
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Improved Stereo Vision Algorithms For Robot Navigation
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…The utility function of the auction algorithm is formulated based on a Multiple Attributes Decision-Making (MADM) strategy in which the considered attributes are SE and Energy Efficiency (EE). …”
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Development of images segmentation using image thresholder and batch processing technique on the blood smears
Published 2022“…The proposed algorithm has appropriately compensated for the variability in image quality.…”
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Scentopia: Navigating the World of Fragrance
Published 2024“…The programme streamlines the perfume picking process and directs users towards their ideal smell match by utilising cutting-edge algorithms, personalised scent profile, and user-friendly interfaces. …”
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Final Year Project -
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Transcriptomic Study of Gracilaria Changii (Gracilariales, Rhodophyta) By Expressed Sequence Tags and Cdna Microarray Approach
Published 2009“…The putative identity of TUGs was identified by using Basic Local Alignment Search Tool X (BLASTX) algorithm and classified according to the functional groups in Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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Fingerprint Image Compression Using Wavelet Transform
Published 2003“…In fact, wavelet refers to a set of basic function, which is recursively defined form, a set of scaling coefficients and scaling function. …”
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Cars detection in stitched image using morphological approach
Published 2017“…Related algorithms using mathematical approach such as alpha blending will be implemented in the project to enhance the image stitching method for a better quality stitched image. …”
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Final Year Project Report / IMRAD -
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Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan
Published 2020“…On top of that, having considered the importance of loss layers in the performance of neural networks, it suggests a new image reconstruction and matching loss function that is aimed to improve depth estimation consistency on specular and transparent surfaces. …”
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