Search Results - (( motion automation based algorithm ) OR ( early identification mining algorithm ))*
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Outlier Detection Technique in Data Mining: A Research Perspective
Published 2005“…Finding ,removing and detecting outliers is very important in data mining, for example error in large databases can be extremely common, so an important property of a data mining algorithm is robustness with respect to outliers in the database. …”
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
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Automated content sizing using accelerometer
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Undergraduates Project Papers -
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Automated threshold detection for object segmentation in colour image
Published 2016“…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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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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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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CPG-based control system for flexible snake robot locomotion
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Proceeding Paper -
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Design and Fabrication of Smart Home With Internet of Things Enabled Automation System
Published 2019“…Therefore, this study presents a cost-effective and hybrid (local and remote) IoT-based home automation system with a user-friendly interface for smartphones and laptops. …”
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A Machine Learning Classification Application to Identify Inefficient Novice Programmers
Published 2023Conference Paper -
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…Based on these results, it can conclude that the high magnitudes of interaction forces portray the abnormality in the scene and Self-Adaptive SFM is well-performed on crime scene with the rapid motion characteristic.…”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Conventional sampling-based predictors often assume that motion is governed by a Gaussian distribution. …”
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Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression
Published 2018“…Purpose: To develop and validate a fully automated neural network regression-based algorithm for segmentation of the LV in cardiac MRI, with full coverage from apex to base across all cardiac phases, utilizing both short axis (SA) and long axis (LA) scans. …”
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A novel approach to motion modeling using fuzzy cognitive map and artificial potential fields
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Adaptive Trajectory Generation For Vision-Based Robot Using Negotiation Principle For Rehabilitation Applications
Published 2019“…The objectives for this research are to design and develop an adaptive trajectory algorithm with a persuasion tactic based on negotiation principles and to validate the proposed algorithm in terms of automated negotiation point of view. …”
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Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module
Published 2001“…It has also been found that in both movements (forward and backward) the wheels motion system is faster than the tracks and legs motion systems. …”
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