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Multi road marking detection system for autonomous car using hybrid- based method
Published 2018“…One of the embedded systems that received great attention is road detection system, that operates using road markings detection algorithm. …”
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A wheelchair sitting posture detection system using pressure sensors
Published 2024“…To date, the amount of research on the sitting posture detection on wheelchairs is very small. …”
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Autonomous Fire Fighting Mobile Platform
Published 2012“…Development work done to date on the platform has shown its feasibility of being an autonomous unit to monitor a prescribed area, detect for fire and extinguish the flame.…”
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Multiple and solid data background scheme for testing static single cell faults on SRAM memories
Published 2013“…These faults are undetectable by existing algorithms with insufficient operation. To date, the main effort in this field of research is to improve fault detection by modifying or adding an operation sequence in the MTA. …”
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Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection
Published 2022“…It is a low-cost solution for the temporary events to be evaluated so that the risks can be detected in real-time for better decision-making. The important aspects for the temporary events are collected such as the date, description, title and link. …”
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Final Year Project Report / IMRAD -
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AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR
Published 2013“…This study aims to develop an algorithm which is able to do counting parasitemia with thin blood smear that can help in integrating both detecting types and counting of parasites with just a thin blood smear. …”
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Final Year Project -
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Real-time face mask detection using YOLOv4
Published 2022“…Therefore, this project, which is an automated and powerful real-time face mask detection application that used the YOLOv4 model, has been developed. …”
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Improving malicious detection rate for Facebook application in OSN platform
Published 2018“…Our key contribution in this part is in developing malware detection in Facebook third party application by using Naïve Bayes algorithm technique .We identify a set of features that help us distinguish malicious apps from benign ones. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Forecasting Tourism Market for Fiji based on Indicator Approach
Published 2019“…Apart from utilising the composite leading indicator approach, a filtering extraction method, a dating algorithm for turning point detection and directional accuracy and binomial tests, this study also included Markov regime switching as well, for identifying the transition probabilities. …”
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Benthic habitat mapping and coral bleaching detection using quickbird imagery and Kd algorithm
Published 2013“…It is concluded that a positive anomaly more than 1°C in SST values, may lead to bleaching in the coral reef communities. Additionally, to detect this event, it is necessary to having at least two high resolution satellite images for pre- and postbleaching date. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. …”
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Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks
Published 2023“…The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. …”
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