Search Results - (( java implication based algorithm ) OR ( software classification means algorithm ))
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Investigation of the optimal sensor location and classifier for human motion classification
Published 2022“…In addition, this study seeks to find the best classification algorithm for human daily activities. The data recorded at these three locations were analysed using several classification algorithms in both Orange software and MATLAB. …”
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Conference or Workshop Item -
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…Multilayer Perceptron (MLP) network and Radial Basis Function (RBF) network will be developed using MATLAB in which MLP network is trained with Back Propagation, Bayesian Rule and Levenberg-Marquardt learning algorithm and RBF network is trained with k-means clustering algorithm. …”
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Monograph -
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A web-based implementation of k-means algorithms
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Final Year Project / Dissertation / Thesis -
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Analysis And Classification Of Multiple Hand Gestures Using MMG Signals
Published 2018“…The main purpose of this work is to identify the hand gestures that are predefined using the artificial neural network,which is particularly useful for classification purpose.The MMG patterns are extracted from the signals for each movement,the features extracted from the signals are given to the neural network for training and classification since it is the good technique for classifying the bio signals.The features like mean absolute value,root mean square,variance,standard deviation and root mean square are chosen to train the neural network.…”
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Article -
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
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Conference or Workshop Item -
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Neuro fuzzy classification and detection technique for bioinformatics problems
Published 2007“…It is very important to identify new integration of classification or clustering algorithm especially in neuro fuzzy domain as compared to conventional or traditional method. …”
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Book Section -
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Blood cell image segmentation using unsupervised clustering techniques
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Conference or Workshop Item -
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REAL TIME ABNORMAL SOUND DETECTION AND CLASSIFICATION FOR HOME ENVIRONMENT
Published 2011“…In this project, a system is designed to have abnormal sound detection and classification. For abnormal sound detection, mean signal approach being used while for classification process, there two main methods being used which are features extraction using Mel-Frequency Cepstral Coefficient (MFCC) and classifier using Gaussian Mixture Model (GMM). …”
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Final Year Project -
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…Consequently, machine learning strategies have surfaced as a viable means of detecting malware. The following research report focuses on the implementation of classification machine learning methods for detecting malware. …”
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Article -
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…Consequently, machine learning strategies have surfaced as a viable means of detecting malware. The following research report focuses on the implementation of classification machine learning methods for detecting malware. …”
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Article -
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…There are three segmentation algorithm used in this study such as HSV, K-Means and Feature Matching. …”
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Research Report -
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Modelling of clinical risk groups (CRGs) classification using FAM
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Conference or Workshop Item
