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The cost of experimental setup during an assembly process development of a chipset, particularly the under-fill process, can often result in insufficient data samples. In INTEL Malaysia, for example, the historical chipset data from an under fill process consists of only a few samples. As a result, existing machine learning algorithms for predictive modeling cannot be applied to this setting. Despite...
This paper proposes a novel approach to the feature fusion in motor fault diagnosis with the main aim of improving the performance and reliability of clustering and identification of the fault patterns. In addition, the significance of individual feature sets in specific fault scenarios, which is normally gained by engineers through experience, is investigated by using flexible Non-Gaussian modeling...
This different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this paper, an automatic license plate detection system is proposed for Malaysian vehicles with standard license plates based on image processing and clustering. After applying image enhancement, the image is segmented using clustering and run length...
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