Search Results - (( development programme normalization algorithm ) OR ( java feature classification algorithm ))
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1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Thesis -
2
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. …”
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Conference or Workshop Item -
3
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Thesis -
4
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The study proposes the use of software metric thresholds in the classification process during the GA representation. …”
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Thesis -
5
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The data collected for this machine learning model is using the statistically significant features from vibration and acoustic analysis. The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. …”
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Monograph -
6
Parallel computation of maass cusp forms using mathematica
Published 2013“…To facilitate the complete pullback process of this group, a point locater algorithm is developed. In this work, we present three different pullback algorithms for the surfaces we considered and carefully integrate them into our Maass cusp form algorithm. …”
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Thesis -
7
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
8
Developed method of FPGA-based fuzzy logic controller design with the aid of conventional PID algorithm
Published 2009“…This paper proposes developed method to design a digital fuzzy logic controller with the aid of conventional Proportional – integral – derivative (PID) controller using field programmable gate array (FPGA). …”
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Article -
9
Agent-based extraction algorithm for computational problem solving
Published 2015“…Several statistical tests such as normality test and reliability analysis were conducted. …”
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Thesis -
10
Automatic Classification of Cervix Type
Published 2019“…In a developed country like United States, cervical cancer rate has been improved by 70% in the last 40 years due to a good screening programmes implemented in their country. …”
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Final Year Project -
11
A customized floating-point processor design for FPGA and ASIC based thermal compensation in high-precision sensing
Published 2021“…The signal processing techniques in the sensors are normally implemented using Field Programmable Gate Arrays (FPGAs) or Application-Specific Integrated Circuits (ASICs). …”
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Article -
12
Nonlinear three-dimensional finite elements for composite concrete beams
Published 2012“…Therefore in this study, new interface elements have been developed,while modified constitutive law have been applied and new computational algorithm is utilised. …”
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Thesis -
13
Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…This thesis aimed to investigate and develop a novel parameterized architecture design for SENSE algorithm. …”
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Thesis -
14
Preliminary study on fault detection using artificial neural network for water-cooled reactors
Published 2020“…This work was carried out to discover the use of an artificial neural network (ANN) to model and develop a fault detection programme in the RTP cooling system. …”
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Article -
15
Challenges of hidden data in the unused area two within executable files
Published 2009“…Problem statement: The executable files are one of the most important files in operating systems and in most systems designed by developers (programmers/software engineers), and then hiding information in these file is the basic goal for this study, because most users of any system cannot alter or modify the content of these files. …”
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