A deep transfer learning framework for seismic data analysis: A case study on bright spot detection

J El Zini, Y Rizk, M Awad - IEEE Transactions on Geoscience …, 2019 - ieeexplore.ieee.org
Bright spots, strong indicators of the existence of hydrocarbon accumulations, have been
primarily used by geophysicists in oil and gas exploration. Recently, machine-learning …

A new volcanic seismic signal descriptor and its application to a data set from the cotopaxi volcano

N Perez, P Venegas, D Benitez… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
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 …

Natural gas detection in onshore data using transfer learning from a LSTM pre-trained with offshore data

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 …

A 392-pW 42.7-dB Gm-C wavelet filter for low-frequency feature extraction used for wearable sensor

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 …

Automatic first arrival picking on P-wave seismic signal using support vector machine method

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 …

High-frequency time-lapse seismic spatial autocorrelation imaging shallow velocity variations

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 …

[PDF][PDF] A Volcanic Seismic Activity Morphism to Collect Data from the Cotopaxi Volcano

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 …

Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification

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 …

Check for updates Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification

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 …