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1
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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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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3
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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4
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…It involves the process of re-testing software after modifications. Ideally, to perform regression testing is to re-execute all the test cases on the modified software. …”
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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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Book Section -
7
