Search Results - (( java implementation phase algorithm ) OR ( programming grade function algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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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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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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4
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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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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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 -
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