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A hybrid feature pool-based emotional stress state detection algorithm using EEG signals. (2019)
Journal Article
HASAN, M.J. and KIM, J.-M. 2019. A hybrid feature pool-based emotional stress state detection algorithm using EEG signals. Brain sciences [online], 9(12), article number 376. Available from: https://doi.org/10.3390/brainsci9120376

Human stress analysis using electroencephalogram (EEG) signals requires a detailed and domain‐specific information pool to develop an effective machine learning model. In this study, a multi‐domain hybrid feature pool is designed to identify most of... Read More about A hybrid feature pool-based emotional stress state detection algorithm using EEG signals..

Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions. (2019)
Journal Article
HASAN, M.J., ISLAM, M.M.M. and KIM, J.-M. 2019. Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions. Measurement [online], 138, pages 620-631. Available from: https://doi.org/10.1016/j.measurement.2019.02.075

Incipient fault diagnosis of a bearing requires robust feature representation for an accurate condition-based monitoring system. Existing fault diagnosis schemes are mostly confined to manual features and traditional machine learning approaches such... Read More about Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions..

Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm. (2019)
Journal Article
HASAN, M.J. and KIM, J.-M. 2019. Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm. Energies [online], 12(6): fault diagnosis and fault-tolerant control, article 991. Available from: https://doi.org/10.3390/en12060991

Fault detection in metallic structures requires a detailed and discriminative feature pool creation mechanism to develop an effective condition monitoring system. Traditional fault detection methods incorporate handcrafted features either from the ti... Read More about Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm..