Search Results - (( network implementation using algorithm ) OR ( data classification using algorithm ))
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1
An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
Published 2020“…Using only these 22% labeled training data, our proposed algorithm was able to classify the remaining 78% of the database into 16 classes. …”
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2
Training functional link neural network with ant lion optimizer
Published 2020“…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
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3
An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval algorithm
Published 2022“…Currently, many companies use data mining for various implementations. One form of implementation is intrusion detection system (IDS). …”
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4
A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. …”
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5
Sentiment analysis of hotel reviews using Convolutional Neural Network / Sofea Aini Mohd Sufian
Published 2021“…The prototype also been implemented using CNN model to predict the sentiment on hotel review, hi conclusion, the CNN algorithm can be used as text classification as it gives a high accuracy.…”
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6
Case Slicing Technique for Feature Selection
Published 2004“…Since the 1960s, many algorithms for data classification have been proposed. …”
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7
Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image
Published 2014“…In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. …”
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8
Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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9
Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…Artificial neural network (ANN) are widely used as an engineering approach to mimic the human brain activities. …”
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10
Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / M...
Published 2020“…This project is about using the Levenberg Marquardt algorithm in Artificial Neural Network (ANN) to classified between clean and polluted water. …”
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Student Project -
11
CLASSIFICATION OF BEARING FAULTS USING EXTREME LEARNING MACHINE ALGORITHMS
Published 2017“…Most of existing bearing fault diagnosis are done using Back Propagation (BP) algorithm which take a long time to train the neural network resulting in inefficiency of training the Single Hidden Layer Feedforward Neural Network (SLFN). …”
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Final Year Project -
12
Implementation of machine learning algorithm in preventing network congestion
Published 2023text::Final Year Project -
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Songket pattern classification using backpropagation neural network / Nik Aidil Syawalni Nik Mazlan
Published 2024“…The methodology adopted in this study encompasses the assembly of a dataset images of Songket patterns. The process included data pre-processing and feature extraction. The BPNN algorithm was implemented to proficiently identify and classify Songket pattern, and the evaluation involved analyzing predicted results with different data splitting ratios, such as 70:30 and 80:20. …”
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14
An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval
Published 2022“…Currently, many companies use data mining for various implementations. One form of implementation is intrusion detection system (IDS). …”
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15
Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
Published 2021“…The results of this study have shown that a classification model using ACO is as comprehensible and accurate as one using the J48 algorithm due to the predictive accuracy produced. …”
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Student Project -
16
Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…Without implementing any data reduction algorithm, the highest classification accuracy was found in SVM classifier with 79.55%. …”
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17
Classification of left/right hand movement from EEG signal by intelligent algorithms
Published 2015“…Principal component Analysis (PCA) has been used for feature reduction. Measured data revealed that the maximum classification accuracy of 84.17 on PCA implemented reduce feature set has been achieved using SOM based classifier. …”
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Conference or Workshop Item -
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An Arabic hadith text classification model using convolutional neural network and support vector machine / Mohd Irwan Mazlin
Published 2022“…There are 6 different ways of designing the experiment to evaluate the result of the study, which are an experiment with the model using different stemming techniques, an experiment with the model using three different algorithms, the result analysis of confusion matric of three algorithms, experiment the model using different SVM kernel, experiment the model using unseen data, produce precision, recall, F1-measure and accuracy result of the model and parameter. …”
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19
Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning
Published 2023“…Deep neural networks and machine learning are increasingly being used in healthcare. …”
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Proceeding -
20
Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification
Published 2024“…Besides, the convolutional neural network (CNN) was implemented and combined with the RBF algorithm for the ASD classification. …”
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