Search Results - (( features extraction testing algorithm ) OR ( java application optimisation algorithm ))
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…The Friedman test result is presented for the performance rank of six benchmark feature selection algorithms and FESSIC algorithm. …”
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Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin
Published 2016“…For this research, the meaningful information that will be extracting is eye feature. Methodology of this research consists of Planning and Analysis, Data Collection, Algorithm Design and Development and Testing. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Non-invasive pathological voice classifications using linear and non-linear classifiers
Published 2010“…Two types of experiments are conducted using the proposed feature extraction and classification algorithms. …”
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Handwriting recognition using webcam for data entry
Published 2014“…The first test was done with a neural network trained with only the Character Vector Module as its feature extraction method. …”
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Facial features point localization using modified SIFT scale space / Zulfikri Paidi
Published 2020“…Surface change creates high-dimensional data during feature extraction work. There are many algorithms proposed for recognition of facial expressions, including SIFT algorithms that are considered superior in performing feature extraction. …”
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BRAIN ACTIVITIES FOR MOTOR MOVEMENT
Published 2012“…The Feature extraction method MVAAR couldn’t extract the actual feature for the four movements so we couldn’t classify between them.…”
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Final Year Project -
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HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…The algorithm gives a mean accuracy of 84% out of 125 test images.…”
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Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…The research stage starts from pre-Processing, extraction, feature selection and classification processes and performance testing. …”
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
Published 2013“…The proposed methodology focuses mainly on three main stages for an input image, firstly extracting features by commonly used features extraction methods such as edge detection, and histogram. …”
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Conference or Workshop Item -
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Features Extraction of Arabic Calligraphy using extended Triangle Model for Digital Jawi Paleography Analysis
Published 2013“…The number of features has been extended from 12 to 45. For validation of proposed algorithm, 60,000:20,000 training and testing data from Hoda digit dataset has been prepared, selected randomly for 10 rounds of testing. …”
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In addition, this thesis tackles the feature selection problem by designing a novel wrapper feature selection method based on the Hybrid Flower Pollination Algorithm (HFPA). …”
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Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…The aim of this research is to contribute to the measurement of physiological dimensions of plant leaves by the proposed Auto-Measure algorithm to operate in an automatical manner which inherently requires an improvement in automatic feature extraction. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…For the feature vectors that are collected from feature extraction (MFCC) and feature selection (X-ACO), the feature vectors are used as input for the classification phase. …”
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Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
Published 2018“…Due to the current methods in feature extraction are still improving, this project proposed a new feature extraction method to increase the performance of iris classification. …”
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