This article proposes a new volcano seismic signal descriptor for improving the area under the receiver operating characteristic curve (AUC) in the classification of long-period (LP) and …
L Fernando Santos, M Gattass… - SEG Technical …, 2020 - library.seg.org
The challenging task of automatically detecting gas accumulation from seismic reflection surveys has recently gained a new interest in the emergence of deep learning algorithms …
Y Zhang, W Zhao - Analog Integrated Circuits and Signal Processing, 2021 - Springer
Continuous wavelet transform (CWT) has been proven to be an effective tool in feature extraction of non-stationary bio-signals. Therefore, hardware implementation of CWT has …
MWP Indi, A Novianty… - 2020 8th International …, 2020 - ieeexplore.ieee.org
Automatic First Arrival Picking is a system that can get a P-Wave or the first wave that comes in an earthquake wave. Because of the P-Wave is the first wave to come, it needs research …
F Li, M Valero, Y Cheng… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
Shallow velocity variations can be caused by different reasons, which could be related to infrastructure security. Among seismic-based temporal velocity analysis methods, ambient …
T Sunitha, T Nedunchezhian, GV Kumar, B Neelima… - mukpublications.com
Area Under the receiver operating characteristic Curve (AUC) is used to improve categorization for long period (LP) and volcano tectonic (VT) seismic events, this paper …
H Partamian, Y Rizk, M Awad - … , DS 2018, Limassol, Cyprus, October 29 …, 2018 - Springer
Classifying biased datasets with linearly non-separable features has been a challenge in pattern recognition because traditional classifiers, usually biased and skewed towards the …
H Partamian, Y Rizk, M Awad - Discovery Science: 21st …, 2018 - books.google.com
Classifying biased datasets with linearly non-separable features has been a challenge in pattern recognition because traditional classifiers, usually biased and skewed towards the …