Search Results - (( usage detection based algorithm ) OR ( java application learning algorithm ))
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Development of a Raspberry Pi Drowsiness Detection System based on Histogram of Oriented Gradient (HOG) Algorithm and Eye Aspect Ratio (EAR) Formula
Published 2020“…Therefore, a Raspberry Pi drowsiness detection system based on Histogram of Oriented Gradient (HOG) algorithm and Eye Aspect Ratio (EAR) formula has been developed in this research. …”
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Final Year Project -
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An efficient anomaly intrusion detection method with evolutionary kernel neural network random weights
Published 2020“…Internet security requirements are increasing due to the growth of internet usage. One of the most efficient approaches used to secure the usage of the internet from internal and external intruders is Intrusion Detection System (IDS). …”
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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…Due to the increased usage of the Internet of Things and heterogeneous distributed devices, the development of effective and reliable intrusion detection systems (IDS) has become more critical. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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Panoramic image matching method for uav remote sensing based on surf algorithm
Published 2024text::Final Year Project -
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Enhancing counterfeit tag detection for RFID system using slotted aloha
Published 2021“…This indicates that highest detection accuracy, high throughput performance and lowest detection time (i.e., fast detection) can effectively be achieved by RMD algorithm. …”
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Thesis -
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Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan
Published 2014“…El-gamal encryption system is an asymmetric key encryption algorithm which is based on the Diffie-Hellman key exchange. …”
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Thesis -
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Development Of Control Algorithm For Spot Cooling System
Published 2017“…This project’s aim is to develop a Control Algorithm for Spot Cooling system. The system helps to detect and track a non-human decoy. …”
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Monograph -
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Diabetic Retinopathy Detection Model using Hybrid of U-Net and Vision Transformer Algorithms
Published 2024“…We have evaluated our model on APTOS Blindness detection dataset in which our model outperforms traditional convolutional neural networks-based models. …”
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Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…Datasets of well-known SQL injection attack patterns and AI/ML models intended for cybersecurity anomaly detection are among the resources underexplored, these findings show the potential for boosting detection capabilities by deploying ML and AI-based security solutions, with some algorithms scoring up to an 80 percent success rate in identifying SQL injections. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
Proceedings Paper -
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Machine learning-based anomaly detection in NFV: a comprehensive survey
Published 2023“…The research evaluates the strengths and weaknesses of various machine learningbased algorithms for detecting network-based anomalies in NFV networks. …”
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