Search Results - (( developing recent detection algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin
Published 2022“…The objective of this project is to develop the Windows malware detection model using supervised machine learning in Decision Tree, K-NN and Naïve Bayes, to evaluate the performance of malware detection in term of testing and training of the features selection and to compare the accuracy detection model in all three machine learning algorithms. …”
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Student Project -
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A review of object detection in traffic scenes based on deep learning
Published 2024“…It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. …”
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A review of YOLO algorithm and its applications in autonomous driving object detection
Published 2025“…Firstly, the development and distinctions among the YOLO series of detection algorithms are explained, and their performance is analyzed. …”
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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. …”
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Monograph -
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A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection
Published 2023“…The multi-agent system applies ant colony optimization and fuzzy logic search algorithms as tools to detecting learning styles. Ultimately, a working prototype will be developed to validate the framework using ant colony optimization and fuzzy logic. � 2013 Springer-Verlag.…”
Conference Paper -
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Published 2024“…Furthermore, the taxonomy was used to evaluate the most recent machine learning algorithm and analysis. The paper also examines the obstacles and associated concerns encountered in malware detection and potential remedies. …”
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Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. …”
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Thesis -
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March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults
Published 2009“…March tests have been widely used for detecting functional faults during SRAM testing. Recent development has extended the March test for diagnostic purpose to locate and identify the fault types. …”
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Two-factor authentication smart entryway using modified LBPH algorithm
Published 2024“…Many face detection models have been developed in smart entryways using IoT. …”
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Analysis of disturb coupling faults coverage by the March AZ2 algorithm in memory BIST
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Conference or Workshop Item -
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Focal and non-focal epilepsy localization: a review
Published 2018“…This study reviews many recently-proposed algorithms for detecting the focal epileptic seizures. …”
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Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques
Published 2017“…In this thesis, a hybrid detection algorithm mechanism has been proposed which combines two detection algorithms based on nodes’ trustworthiness and energy consumption in a parallel manner in order to detect the black hole nodes. …”
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Thesis -
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Adaptive algorithms for automated intruder detection in surveillance networks
Published 2014“…Two of the proposed algorithms have been developed by us. With application to two complementary data sets and quantitative performance comparisons with two representative existing schemes, we show that it is possible to easily obtain high detection accuracy with low false positives.…”
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Proceeding Paper -
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Novel approach for IP-PBX denial of service intrusion detection using support vector machine algorithm
Published 2021“…IP-PBX face challenges in detecting and mitigating malicious traffic. In this research, Support Vector Machine (SVM) machine learning detection & prevention algorithm were developed to detect this type of attacks Two other techniques were benchmarked decision tree and Naïve Bayes. …”
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License plate detection using deep learning object detection models
Published 2024“…The impact of this project is that it provides informative insights and uncover the potential of the development of real-life applications using recent deep learning object detection models.…”
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Final Year Project / Dissertation / Thesis -
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Pengesan lalu lintas dengan kaedah pemerosesan imej
Published 2001“…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
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A hybrid intrusion detection system based on different machine learning algorithms
Published 2013“…Recently, Networks have developed quickly during the last many years, and attacks on network infrastructure presently are main threats against network and information security.With quickly growing unauthorized activities in network Intrusion Detection as a part of defense is extremely necessary because traditional firewall techniques cannot provide complete protection against intrusion. …”
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Conference or Workshop Item -
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…Security and privacy pose serious challenges in designing IoE environment which can be addressed by developing effective Intrusion Detection Systems (IDS). …”
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