Search Results - (( java data control algorithm ) OR ( basic computer training algorithm ))
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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
Published 2005“…This project is developed to train the computer programs to recognize objects in the pictures. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Computer A will be sent the data to computer B through the internet/LAN using JAVA program. …”
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Café Web Based System Using Priority Scheduling Approach
Published 2017“…The priority scheduling algorithm is based on Control Processing Unit scheduling algorithm where it has a priority to execute tasks. …”
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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
Published 2019“…Intrusion Detection (ID) in the context of computer networks is an essential technique in modern defense-in-depth security strategies. …”
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A random search based effective algorithm for pairwise test data generation
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Conference or Workshop Item -
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Automated time series forecasting
Published 2011“…Moving Average, Decomposition, Exponential Smoothing, Time Series Regressions and ARIMA) were used.The algorithm was developed in JAVA using up to date forecasting process such as data partition, several error measures and rolling process.Successfully, the results of the algorithm tally with the results of SPSS and Excel.This automatic forecasting will not just benefit forecaster but also end users who do not have in depth knowledge about forecasting techniques.…”
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Monograph -
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A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…Therefore, a replica control protocol must consider the dynamic aspects of the Data Grid. …”
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Biometric identification with limited data set
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Proceeding Paper -
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A Novel Method for Fashion Clothing Image Classification Based on Deep Learning
Published 2023“…Furthermore, the study adopted the approximate dynamic learning rate update algorithm in the model training to realize the learning rate’s self-adaptation, ensure the model’s rapid convergence, and shorten the training time. …”
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Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…EBrC-Net architecture is designed to require less training time and computational resources like a normal desktop computer. …”
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An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.]
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Book Section -
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EMG motion pattern classification through design and optimization of neural network
Published 2012“…Extracted time and time-frequency based feature sets are used to train the neural network. A back-propagation neural network with Levenberg-Marquardt training algorithm has been utilized for the classification of EMG signals. …”
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EMG motion pattern classification through design and optimization of Neural Network
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Working Paper
