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Saima Bhatti, Asif Ali Shaikh, Asif Mansoor and Murtaza Hussain
Machinery components undergo wear and tear over time due to regular usage, necessitating the establishment of a robust prognosis framework to enhance machinery health and avert catastrophic failures. This study focuses on the collection and analysis of v...
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Iqbal Muhammad Zubair, Yung-Seop Lee and Byunghoon Kim
The selection of group features is a critical aspect in reducing model complexity by choosing the most essential group features, while eliminating the less significant ones. The existing group feature selection methods select a set of important group fea...
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Donghyun Kang
Despite the technological achievements of unmanned aerial vehicles (UAVs) growing in academia and industry, there is a lack of studies on the storage devices in UAVs. However, this is an important aspect because the storage devices in UAVs have a limited...
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Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin...
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Suryakant Tyagi and Sándor Szénási
Machine learning and speech emotion recognition are rapidly evolving fields, significantly impacting human-centered computing. Machine learning enables computers to learn from data and make predictions, while speech emotion recognition allows computers t...
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