Search Results - (( java implementation model algorithm ) OR ( using auto learning algorithm ))
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AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING
Published 2021“…RSA is one of these encryption algorithms that have been implemented in security systems. …”
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Thesis -
2
Provider independent cryptographic tools
Published 2003“…The library is implemented by using Java cryptographic service provider framework that conforms to Java Cryptographic Architecture (JCA) and Java Cryptographic Extension (JCE). …”
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Monograph -
3
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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4
MaxD K-Means: A clustering algorithm for auto-generation of centroids and distance of data points in clusters
Published 2012“…K-Means is one of the unsupervised learning and partitioning clustering algorithms. It is very popular and widely used for its simplicity and fastness. …”
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Article -
5
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…The performance of Java programming model and native programming model are compared with respect to the execution time for blood vessel detection. …”
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Conference or Workshop Item -
6
Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
Published 2023“…Therefore, this paper presents an automated machine learning (AutoML) to simplify and accelerate the modeling tasks. …”
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7
A student learning style auto-detection model in a learning management system
Published 2023“…Future studies include the use of machine learning algorithms such as decision trees to auto-detect student learning styles in learning management systems.…”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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Final Year Project -
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Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters
Published 2011“…K-means is an unsupervised learning and partitioning clustering algorithm. It is popular and widely used for its simplicity and fastness. …”
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Glass break detection system using deep auto encoders with fuzzy rules induction algorithm
Published 2019“…This paper proposes a new design of a glass break detection algorithm based on Fuzzy Deep Auto-encoder Neural Network. …”
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End of Project: RIGS16-350-0514
Published 2017“…This project proposes a novel machine learning algorithm called deep auto encoder network for learning the glass break model in a semi-supervised manner from audio data and for accurate detection of glass break sounds using unordered fuzzy rule induction algorithm.…”
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Monograph -
13
A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The methodology used in this study begun with problem identification, requirement identification, analysed the model process and design the simulation model. The simulation model was developed using Active Server Page, JavaScript and SQL 7.0 as database. …”
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Thesis -
14
Secure Image Steganography Using Encryption Algorithm
Published 2016“…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
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15
Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
Published 2024“…Therefore, this study investigates the capability of various machine learning algorithms in predicting the power production of a reservoir located in China using data from 1979 to 2016. …”
Article -
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Object detection utilizing modified auto encoder and convolutional neural networks
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Earthquake prediction model based on geomagnetic field data using automated machine learning
Published 2024“…Several features were extracted from them through wavelet scattering transform (WST). The features were used as the input to model optimization, of which the strategy for automatic algorithm selection and hyperparameter tuning was performed based on the asynchronous successive halving algorithm (ASHA). …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
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Undergraduates Project Papers -
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Auto-encoder variants for solving handwritten digits classification problem
Published 2020“…First, we introduce the conventional AE model and its different variant for learning abstract features from data by using a contrastive divergence algorithm. …”
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