Search Results - (( case extraction process algorithm ) OR ( java implication tree algorithm ))
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Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
Published 2005“…Information Extraction is a process that extracts information from existing system source and stores into a database. …”
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An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types
Published 2004“…Information Extraction is a process that extracts information from existing system source and stores into a database. …”
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Monograph -
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Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan
Published 2014“…In the pre-processing stage some operations are applied to extract the hand gesture from its background and prepare the hand gesture image for the feature extraction stage. …”
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…Text categorization is the process of grouping documents or words into predefined categories. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…Text categorization is the process of grouping documents or words into predefined categories. …”
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Final Year Project -
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Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Published 2025“…Industrial process time series data could be processed with ease by deep learning algorithms, particularly transformer-based models because of their multi-head attention mechanism. …”
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Feature extraction and classification :a case study of classifying a simulated digital mammogram images using self-organizing maps (som)
Published 2007“…Feature extraction is important in image processing and is a preliminary step to perform pattern classification. …”
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Final Year Project Report / IMRAD -
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…In this case, the algorithm of the DIS operator is embedded with the Marker-based Watershed segmentation as the assistance of Marker-based Watershed Segmentation is effective in extracting the individual significant edges features produced by DIS operator. …”
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The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malays...
Published 2011“…The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) …”
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…Moreover, it introduces a buffer for storing irrelevant micro-clusters and a fully online pruning process for extracting the temporarily irrelevant micro-cluster from the buffer. …”
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An Approach for SARS-CoV-2 Infected Cases Report Analysis
Published 2020“…The information about Coronavirus disease 2019 (COVID-19), especially about infected cases in every country is very urgent. In this paper, an algorithm to analyze the COVID19 infected case reports is introduced. …”
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Conference or Workshop Item -
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Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
Published 2022“…The third is to present a novel P&O GMPP tracking algorithm. Employing trapezoidal rule concept as a new consideration in the P&O tracking process is successful to result a highly efficient approach in extracting the extreme available power from the PV array under PSCs and severe cases of weather fluctuation. …”
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Optimized clustering with modified K-means algorithm
Published 2021“…However, the choice of k is a prominent problem in the process of the k-means algorithm. In most cases, for clustering huge data, k is pre-determined by researchers and incorrectly chosen k, could end with wrong interpretation of clusters and increase computational cost. …”
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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The random dataset are selected by CV in the classification process (i.e. training, testing and validation). The benchmark of the classification algorithm for CA is needed to analyze the optimal output of the algorithm. …”
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman
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Research Reports -
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A framework for automated quality assessment of software requirement specification based on part-of-speech tagging, multi-agent k-means clustering and case-based reasoning
Published 2022“…However, automating the quality assessment process poses major challenges, which requires advanced Natural Language Processing (NLP) algorithms to extract the quality features, interpreting the context of the features, formulating the assessment metrics, and documenting the shortcomings as well as possible improvements. …”
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Thesis