Search Results - (( network implementation using algorithm ) OR ( automatic classification using algorithm ))
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1
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…In the third classification algorithm, hybrid features are extracted using AlexNet and VGG-16 through a transfer learning approach where parameter manipulation is implemented to simplify the network. …”
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Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
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3
Development of lung cancer prediction system using meta-heuristic optimized deep learning model
Published 2023“…Finally, the classification is implemented using an ensemble classifier, deep learning instantaneously trained a neural network and an Autoencoder-based Recurrent Neural Network (ARNN) classification algorithm. …”
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4
A comparison of support vector machine and decision tree classifications using satellite data of Langkawi Island
Published 2009“…The study indicates that the classification accuracy of SVM algorithm was better than DT algorithm. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The network stages are a feature extraction network, and a classification network. …”
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6
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article -
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A two-stage learning convolutional neural network for sleep stage classification using a filterbank and single feature
Published 2022“…For the performance evaluation, three well-known benchmark datasets including Sleep EDF, Sleep EDFx and DREAMS Subject were used. The proposed algorithm by utilizing simple and effective methods improved sleep stage classification results by achieving an overall accuracy of 93.48%, 93.14% and 83.55%, respectively. …”
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VGG16-based deep learning architectures for classification of lung sounds into normal, crackles, and wheezes using Gammatonegrams
Published 2023“…The classification results were obtained using the Google Collaboratory platform.…”
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Deep learning based emotion recognition for image and video signals: matlab implementation
Published 2021“…This book is carried out to develop an image and video-based emotion recognition model using CNN for automatic feature extraction and classification with Matlab sample codes. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. The model is implemented and tested on the CICDDoS2019 dataset using different data dimensionality reduction test scenarios. …”
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12
Intelligent Thermal Condition Monitoring Of Electrical Equipment Using Infrared Thermography
Published 2013“…The multilayered perceptron neural networks are trained using various training algorithms. …”
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13
A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah
Published 2012“…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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14
CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING
Published 2018“…The corrosion pattern is to be classified by applying neural network algorithm. A low-cost computational non-destructive evaluation (NDE) technique will be used to analyze the reliability of a system or component without interrupting its performance and operation. …”
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Earthquake prediction model based on geomagnetic field data using automated machine learning
Published 2024“…From the implementation of five classification algorithms, neural network (NN) yielded the best-performing model with an accuracy of 83.29%. …”
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CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
Published 2022“…Numerous studies implemented machine learning algorithms to develop an effective IDS; however, with the advent of deep learning algorithms and artificial neural networks that can generate features automatically without human intervention, researchers began to rely on deep learning. …”
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Classification Of Gender Using Global Level Features In Fingerprint For Malaysian Population
Published 2016“…A new approach of algorithm based on the Mark Acree’s theory, focusing on fingerprint global extracted features is proposed and implemented for enhancing gender classification method. …”
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18
Development of gender and race recognition system using speech and recognition by using frequency spectrum
Published 2009“…The speech recognition application is implemented using the Digital Signal Processor (DSP). …”
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Vehicle logo recognition using whitening transformation and deep learning
Published 2019“…Backpropagation algorithm with stochastic gradient descent optimization technique has been deployed to train and obtain weight filters of the networks. …”
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Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar
Published 2012“…In this research, Multilayer perception (MLP) of feedforward Artificial Neural Network (ANN) has also been used as the classifier and comparison are made between the SVM and ANN method. …”
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