Search Results - (( developing tutorial learning algorithm ) OR ( java estimation techniques algorithm ))
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Multi-floor indoor location estimation system based on wireless local area network
Published 2007“…Location fingerprinting technique is employed to estimate Mobile Terminal’s (MT) location. …”
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Thesis -
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Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal
Published 2004“…Interactive Learning Package for Artificial Neural Network (Demonstration Module) is a learning package that allow the users to learn and enhance the understanding of the ANN subject in more detailed way and apply in the demonstration parts. …”
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Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…Most of the learning courseware/systems to learn Java programming language are merely repository of static and monotonous contents such as hyperlinked online tutorials, video lectures, etc. …”
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Conference or Workshop Item -
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Implementing case-based reasoning approach to framework documentation
Published 2023“…Traditional documentation approaches include tutorials, reference manuals, design patterns, cookbooks, and minimalist. …”
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Estimation of dielectric constant for various standard materials using microstrip ring resonator
Published 2017“…The differences in frequency shift were used in NetBeans IDE 8.1 algorithm of Java for dielectric constant calculation. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…The reliable relationship between EEG signals of the attention and meditation and their impact towards the positive and negative emotions among children while learning illustrates the potentials in detecting mental states which are relevant to tutoring such as comprehension, engagement and learning impact. …”
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The outcomes had shown that the fuzzy parameters of Monte Carlo simulation provided a better limitation for variance techniques in uncertainty load levels.…”
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