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MBIST implementation and evaluation in FPGA based on low-complexity March algorithms
Published 2024“…They were implemented in the Intel Max 10 DE10-Lite FPGA Development Board. A test generator was built in FPGA, as an alternative to the external tester, to provide test vectors required in initiating the test on the memory model using the implemented MBIST. …”
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Development of colorization of grayscale images using CNN-SVM
Published 2021“…A convolutional neural network (CNN) was designed with several layers of convolutional and max pooling. Support Vector Machine (SVM) regression was used at the final stage. …”
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ANALYSIS OF BIOSENSOR PHYSIOLOGICAL SIGNALS FOR ASSESSMENT OF NEUROLOGICAL STATUS
Published 2018“…All the data signals of the 20 subjects will then be processed with features extraction method using mean, maximum (Max), minimum (Min), mean absolute deviation (MAD), Standard deviation (STD), interquartile range (IQR) and summation (Sum). …”
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Final Year Project -
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Message based random variable length key encryption algorithm.
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Thesis -
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Predicting Chlorophyll Intensity Of Various Plants Using Improved Convolutional Neural Network
Published 2023“…The proposed model consists of Hybrid CNN as a feature extractor and support vector regression (SVR) network as a predictor. Hybrid CNN was designed by modifying the architectures of AlexNet and PNet using MATLAB R2023a. …”
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Final Year Project Report / IMRAD -
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Power amplifier memory polynomial predistorter for long term evolution application
Published 2015“…An open loop test bench is set up by using ZVE-8G+ power amplifier and Agilent equipment such as Agilent vector signal generator (VSG)EXG-D series and Agilent vector signal analyzer (VSA) PXI series in order to generate LTE down-link signal with 5 MHz bandwidth. …”
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CNN architectures for road surface wetness classification from acoustic signals
“…Two CNN architectures with differing layouts for its dropout layers and max-pooling layers have been investigated. The positions and the number of the max-pooling layers were varied. …”
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Automated diagnosis of diabetes using entropies and diabetic index
Published 2016“…These redundant features are eliminated by using six feature selection algorithms: Student's t-test, Receiver Operating Characteristic Curve (ROC), Wilcoxon signed-rank test, Bhattacharyya distance, Information entropy and Fuzzy Max-Relevance and Min-Redundancy (MRMR). …”
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An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…The main algorithms used are profile determination and user similarity. …”
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Thesis
