Search Results - (( motion automation system algorithm ) OR ( early identification learning algorithm ))*
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…A completely automated system means a computer will perform the entire task from low level detection to higher level motion analysis. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Development of an automated detector and counter for bagworm census
Published 2020“…A precise bagworm monitoring system is required to overcome recurrence of an outbreak. …”
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Early Detection Of ADHD Among Children Using Machine Learning
Published 2023“…This abstract explores the significance of early ADHD detection, the potential of fMRI for ADHD diagnosis, and the role of machine learning in facilitating early identification. …”
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Undergraduates Project Papers -
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Automated content sizing using accelerometer
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Undergraduates Project Papers -
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AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things
Published 2023“…This work highlights the significance of leveraging deep transfer learning and IoT in achieving early identification of suspected COVID-19 patients. …”
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Obstacle Detection And Avoidance System
Published 2018“…The obstacle detection and avoidance system is being researched to study its application in automated machine. …”
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Monograph -
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CPG-based control system for flexible snake robot locomotion
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Proceeding Paper -
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Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation
Published 2012“…In this paper, a study on detectability and readability of barcodes using omnidirectional vision system for automated guided vehicle is presented. …”
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Conference or Workshop Item -
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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
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Undergraduates Project Papers -
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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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Design and Fabrication of Smart Home With Internet of Things Enabled Automation System
Published 2019“…Home automation systems have attracted considerable attention with the advancement of communications technology. …”
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Analysis of banana plant health using machine learning techniques
Published 2024“…Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. …”
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Video surveillance: Front-yard monitoring
Published 2023“…This project aims to deliver an automated front-yard intrusion system. It addresses the significant issues of CCTVs and motion sensors by removing the need for manual video monitoring and reducing false positive cases. …”
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Final Year Project / Dissertation / Thesis -
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…The automated surveillance system is a system that monitors the behavior and activities of the crowd whether it is normal or not. …”
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Predictive Modelling of Stroke Occurrence among Patients using Machine Learning
Published 2023“…Early identification of high-risk patients enables timely intervention and implementation of preventive measures, potentially reducing the burden of stroke-related complications. …”
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Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…While the complex relations that exist between the microbiome and host phenotypes make machine learning algorithms suitable for analysing the microbiome data, deep learning methods are becoming more popular due to their outstanding performance in related fields. …”
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