Search Results - (( developing wood based algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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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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Final Year Project / Dissertation / Thesis -
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Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images
Published 2021“…Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Optimisation of laser cutting parameters of oil palm wood / Harizam Mohd Zin
Published 2013“…In some cases, the prediction errors of Taguchi ANN model was found larger than 10% even using a Levenberg Marquardt training algorithm. To overcome the problem, a hybrid genetic algorithm-based Taguchi ANN (GA-Taguchi ANN) has been developed. …”
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Thesis -
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Wood texture detection with conjugate gradient neural network algorithm
Published 2017“…This project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. …”
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Conference or Workshop Item -
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Wood species recognition based on phase - only correlation (POC) technique
Published 2013“…This leads to an interruption of the wood recognition process. Besides that, based on the previous research, two techniques are used to recognize wood species. …”
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Thesis -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Open architecture pc-based CNC controller
Published 2006“…The developed CNC controller is an Open Architecture PC based type controller. …”
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Research Report -
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Development of computerized wood veneer colour sorting system for wood industry / Liew Shaer Jin
Published 2024“…After performing image preparations and calibrations, 26 features were extracted from each image. The features were based on the average and standard deviation of the wood basal colour and wood grain colour. …”
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Thesis -
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Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin
Published 2024“…After performing image preparations and calibrations, 26 features were extracted from each image. The features were based on the average and standard deviation of the wood basal colour and wood grain colour. …”
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Thesis -
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Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao
Published 2024“…Finally, a user-friendly Graphical User Interface was developed to aid Sape makers in assessing wood quality objectively, enhancing the process of selecting high-quality Sape instruments. …”
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Cuckoo Search Approach for Cutting Stock Problem
Published 2015“…The purpose of this paper is to develop a new approach which is Cuckoo Search Algorithm in Cutting Stock Problem. …”
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Article -
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Quantification Of Oleoresin In Agarwood By Means Of Micro-Computed Tomography And Digital Image Processing
Published 2011“…The first part involves the reconstruction of an image from CT projections. An algorithm referred to as XRecon program has been developed to allow slice reconstruction for parallel beam and fan beam data. …”
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Thesis -
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Characterization of dumping soil and settlement prediction using Monte Carlo approach
Published 2013“…Dumping soil contains heterogeneous material such as concrete debris, decayed wood, clay, silt, sand and gravel. Dumping soil are characterize based on its characteristics such as Category I:soil like and non soil like, Category II: waste types and Category III: waste or soil. …”
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