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1
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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2
Differentiating Agarwood Oil Quality Using Artificial Neural Network
Published 2013“…Back-propagation training algorithm and sigmoid transfer function were used to optimize the parameters in the training network. …”
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3
Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
Published 2015“…Generally, for assessment of facial nerve dysfunction on patient's face in daily clinical application, observation-based subjective grading systems by clinicians is been employed. Subjective assessments of facial nerve function are accomplished by inferring nerve function through the observation of voluntary facial movement. …”
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4
Multi-floor indoor location estimation system based on wireless local area network
Published 2007“…During location estimation, current histogram of RSS at unknown location will be compared to the database. The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. …”
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5
An analysis on the applicability of meta-heuristic searching techniques for automated test data generation in automatic programming assessment
Published 2019“…Automatic Programming Assessment (APA) has been gaining lots of attention among researchers mainly to support automated grading and marking of students’ programming assignments or exercises systematically. …”
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6
An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…KSFaci is embedded in web environment and is implemented using Java Servlet and runs under Apache server. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…Back-propagation training algorithm and sigmoid transfer function were used to optimise the parameters in the training network. …”
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9
