Search Results - (( development application classification algorithm ) OR ( java implication from algorithm ))
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ABC: android botnet classification using feature selection and classification algorithms
Published 2017“…In this paper, a new approach for Android botnet classification based on features selection and classification algorithms is proposed. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In addition, the best band selected for image classification is not necessarily the best for classification.A Best Band Selection Index (BBSI) algorithm was developed which is capable of selecting the best band combination for image visualization and supervised classification. …”
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Development of classification algorithms of human gait
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Various classification algorithms have been developed to produce classification models with high accuracy. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…The second one is to develop prototype for classification of credit cardholder behavior based on k Nearest Neighbors Algorithm. …”
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Rabbit breed classification using CNN / Aishah Nabila Mohd Zaid
Published 2024“…This project aims to study the CNN algorithm's efficacy in rabbit breed classification, develop a CNN-based prototype, and evaluate its accuracy. …”
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The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…Region growing segmentation and radial basis function algorithms are considered a powerful tool to minimize the mixed pixel classification error.…”
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Conference or Workshop Item -
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A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…One Of The Main Applications Of Microarray Technology Is The Classification Of Tissue Samples Into Tumor Or Normal Tissue. …”
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…Throughout the project, the suitability of the application of neural networks in malaria parasites classification will be investigated. …”
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Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A...
Published 2023“…The project's objectives are to study the classifying approach of Google Play Store application reviews using the Decision Tree algorithm, develop a prototype of a classifying application program, and evaluate the accuracy model of the review classification program. …”
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Statistical Based Real-Time Selective Herbicide Weed Classifier
Published 2007“…This algorithm is specifically developed to classify images into broad and narrow class for real-time selective herbicide application. …”
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Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach
Published 2009“…In most applications, it is desirable to maintain the classification accuracy, but also reduce the classification time. …”
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Every day, more and more malicious mobile applications (apps) with the botnet capability have been developed to exploit end users' smartphones. …”
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A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application
Published 2014“…In this research, an integrated system of Multi-Layer Perceptron Ensemble (MLPE) consisting of an MLPE and a new voting algorithm has been developed to increase classification accuracy and reduce the number of reject class cases. …”
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A new mobile botnet classification based on permission and API calls
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Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…Thus, it can be concluded that the developed algorithm is capable to improve the classification efficiency by improving the generality of the classifier in classifying test data with unpredictable variations under various working conditions.…”
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