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Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
Published 2020“…Both pixel-based used Maximum Likelihood method and object-based classification was used as an approach of Nearest Neighbour (KNN) method using segmentation before the classification. …”
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2
The Analysis Of Metadata Based Classification For Classifying Educational Websites
Published 2016“…These keywords used as a training dataset attribute for educational web classification. …”
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Automatic topic-based web page classification using deep learning
Published 2023“…The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. …”
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Automatic Topic-Based Web Page Classification Using Deep Learning
Published 2023“…The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. …”
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Classification o f excessive water usage based on a Quantifier Fuzzy Classification System / Halimatusakina Omar and Hanis Wahidah Uzi
Published 2018“…A fuzzy quantifier based classification system or known as Fuzzy QSBA is proposed to be used as a method to generate and simplifies rules. …”
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Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery
Published 2014“…In this paper, three types of classification were used to classify SPOT 5 satellite image in mapping land cover; Support vector machine (SVM) pixel-based, SVM object-based and Decision Tree (DT) pixel-based classification. …”
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Object based image analysis of support vector machine and rule based image classification for building extraction/ Nazatul Asyikin Arham
Published 2020“…The overall accuracy and kappa coefficient for SVM is 95.11% and 93% respectively and the classification accuracy using rule-based image classification shows 83.49%) and 76%) of overall accuracy and kappa coefficient respectively. …”
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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
Published 2014“…The following results were obtained when classification of the ACS types used the conventional “single AI-based” methods. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza
Published 2024“…The first objective of this study is to study the Convolutional Neural Network (CNN) algorithm in the classification of daisy species based on image. Second objective is to develop the prototype of daisy species classification based on image using CNN algorithm. …”
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10
Several Robust Techniques In Two-Groups Unbiased Linear Classification
Published 2013“…Classification difference was used to compare the classification performance of the proposed techniques over the Fisher linear classification analysis and the Fisher linear classification analysis based on the minimum covariance determinant procedures. …”
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A comparison of pixel-based and object-based classification methods for hyperspectral tree species classification / Muhammad Farish Danial Mohd Sham
Published 2024“…In this study, the aim is to classify forest trees using pixel-based classification and object-based image analysis (OBIA), which is supported by Hyperspectral Analysis while its objectives are to determine which classification methods are the best to use in Malaysia tropical forest, to acquire the optimum parameter for each pixel-based classification methods, assess the accuracy assessment of each classification methods, emphasizing the composition and distribution of different species. …”
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Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China
Published 2015“…To efficiently obtain the LULC inventory, we compared the LULC classifications based on single satellite imagery with a rule-based classification based on multi-seasonal imagery in Lianyungang City, a coastal city in China, using CBERS-02 (the 2nd China-Brazil Environmental Resource Satellites) images. …”
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A comparative assessment between object and pixel-based classification approaches for land-use/land-cover mapping using Spot 5 imagery
Published 2014“…In pixel-based image analysis, a supervised classification was performed using the DT classifier. …”
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Affective state classification through CMAC-based model of affects (CCMA) using SVM
Published 2017“…Thus, in this paper CMAC-based Computational Model of Affects (CCMA) is proposed as feature extraction for the classification task. …”
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15
Classification of Lubricant Oil Odor-Profile Using Case-Based Reasoning
Published 2016“…This paper presents the study of lubricant oil classification based on odor-profile using Case_based Reasoning (CBR) classifier.…”
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Comparison between object based classfication and pixel based classfication technique to detect deforestation in Ulu Muda forest reserve, Kedah / Shahrul Nizam Jamaludin
Published 2018“…The forest cover at Ulu Muda will be classified, where pixel based classification was done using the Erdas software while object based classification completed using the eCognition software. …”
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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
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Breast cancer detection by using associative classifier with rule refinement method based on relevance feedback
Published 2022“…Once the initial classification is performed using the generalized rules for each test example, the results are validated using the experts feedback. …”
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Detection of forest fire scar in peatland using segmentation analysis and pixel-based classification of PlanetScope imagery
Published 2024“…Forest fires are the burning of any forest type primarily due to human activities or induced by natural factors and are events where uncontrolled fire spreads rapidly in a forested area. Many image classifications using remotely sensed data techniques use pixel-based classification approaches, including fire scar detection. …”
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Case Slicing Technique for Feature Selection
Published 2004“…The second task is to enhance classification accuracy based on the first task, so that it can be used to classify objects or cases based on selected relevant features only. …”
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