Search Results - (( developing neural classification algorithm ) OR ( java implication based algorithm ))
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…In the second stage, comparison will be done on the performance of neural networks developed to yield the best neural network and malaria parasites classification system will be developed using Borland C++ Builder. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza
Published 2024“…Second objective is to develop the prototype of daisy species classification based on image using CNN algorithm. …”
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Gender classification on skeletal remains: efficiency of metaheuristic algorithm method and optimized back propagation neural network
Published 2020“…In forensic anthropology, gender classification is one of the crucial steps involved in developing the biological profiles of skeleton remains. …”
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An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
Published 2020“…Many algorithms have been developed for automated electrocardiogram (ECG) classification. …”
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The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
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VHDL modeling of EMG signal classification using artificial neural network
Published 2012“…A back-propagation neural network with Levenberg-Marquardt training algorithm has been used for the classification of EMG signals. …”
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Hybrid of convolutional neural network algorithm and autoregressive integrated moving average model for skin cancer classification among Malaysian
Published 2021“…Recently, the development of machine learning and pretrained deep neural network (DNN) shows the tremendous performance in image classification task which also provide the promising performance in medical field. …”
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Adapting and enhancing mussels wandering optimization algorithm for supervised training of neural networks
Published 2015“…The major objective of this thesis is to achieve better performance in terms of convergence training time and classification accuracy for pattern classification by proposing new supervised training methods for Artificial Neural Networks (ANN) based on the MWO algorithm. …”
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Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat
Published 2016“…In this thesis, the detection and classification of induction motor faults due to electrical related failures using Motor Current Signature Analysis (MCSA) and Feedforward Neural Network (FNN) neural network is proposed. …”
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Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani
Published 2005“…This project is all about implementing the back-propagation neural network algorithm in classification of face expression. …”
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Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition
Published 2006“…In this study, an intelligent system is developed for the classification of river water quality using the HMLP network. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Pattern classification is one of the major components for the design and development of a computerized pattern recognition system. …”
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Particle swarm optimization for neural network learning enhancement
Published 2006“…Two programs have been developed; Particle Swarm Optimization Feedforward Neural Network (PSONN) and Genetic Algorithm Backpropagation Neural Network (GANN). …”
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Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle
“…Therefore, this study implements CNN architecture in customized corpus classification operations. As the results, the accuracy of CNN classification has improved at least 6 percent compared to the conventional algorithms.…”
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Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach
Published 2009“…In the current research, the new algorithm was tested and applied to the multiclass classification of two or more categories, which are important for handling problems related to practical classification. …”
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Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning
Published 2023“…The objectives of this study are to pre-process lung nodules data, develop a CNN with transfer learning algorithm, and analyse the effectiveness of CNN with transfer learning compared to standard of other methods. …”
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