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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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WA VELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS
Published 2008“…The simulation was developed using SIMULINK and MATLAB. WaveletDCT based intra-frame coder was simulated by employing two different approaches. …”
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Final Year Project -
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We extracted 30 different features from network traffic. We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…Regarding the IME of H.264/AVC, we introduce two low cost bit-serial architectures, which are based on full search (FS) algorithm due to its regularity and coding performance. …”
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper -
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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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Optimal generator matrix G
Published 2013“…Maximising the minimum determinant is equivalent to obtaining optimal generator matrix G. Instead of using state diagrams, optimal generator matrix G discussed in this paper is obtained using an improved algorithm which is based on Lisya tree structure. …”
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Development of open platform controller for step-NC compliant CNC system
Published 2020“…The hardware of the system was upgraded with the new servo system combined with SSCNET implementation to improve the functionality and efficiency of the new system. …”
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…This study proposed a modified standalone Machine Learning-based Adaptive Protection Scheme (ML-APS) relay' fault classifier model using novel useful hidden Knowledge Discovery from historical fault events Dataset (KDD) from healthy and faulty lines. …”
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Analysis & design low power multiplier using TSMC 0.18µm CMOS technology
Published 2008“…Low power multipliers are developed through minimizing switching activities of partial product using the radix 4 booth algorithm. Before computation for two input data, the one with a smaller effective dynamic range is processed to generate booth codes, thereby increasing the probability that the partial products become zero. …”
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Learning Object -
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…This thesis proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified Minimum Spanning Tree (MST). …”
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Machine learning-based enhanced deep packet inspection for IP packet priority classification with differentiated services code point for advance network management
Published 2024“…This study presents an approach to enhance intelligent packet forwarding priority classification on Differentiated Services Code Point (DSCP), leveraging classifiers from machine learning algorithms for Deep Packet Inspection (DPI). …”
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Article -
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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Final Year Project / Dissertation / Thesis -
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Using modification of Prim's algorithm and GNU Octave and to solve the multiperiods installation problem
Published 2020“…, and that name is chosen because it is like Unix but differs from Unix because it is free and contains no Unix code. Those algorithms were implemented using 300 randomly generated problems. …”
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Discovering optimal features using static analysis and a genetic search based method for Android malware detection
Published 2018“…However, static analysis requires a minimum number of features to efficiently classify malware. Therefore, we used genetic search (GS), which is a search based on a genetic algorithm (GA), to select the features among 106 strings. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…Different machine learning classifiers were tested based on the significant features, namely the Artificial Neural Network, Decision Tree, Random Forest, Naive Bayes Support Vector Machine, and k-Nearest Neighbors. …”
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