An earthquake early warning system (EEWS) should be included in smart cities to preserve
human lives by providing a reliable and efficient disaster management system. This system …

Earthquake Disaster Assessment (EDA) plays a critical role in earthquake disaster
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …

Seismology is among the intrinsic sciences that strictly affect human lives. Many research
efforts are presented in the literature aiming at achieving risk mitigation and disaster …

Seismic acquisition footprints appear as stably faint and dim structures and emerge fully
spatially coherent, causing inevitable damage to useful signals during the suppression …

Seismic data often undergo severe noise due to environmental factors, which seriously
affect subsequent applications. Traditional hand-crafted denoisers such as filters and …

Random plus footprint noise provokes severe seismic image deterioration and makes it
challenging for interpreters to recognize and analyze accurate subsurface responses. Thus …

Due to the poorly coupled geophones present in boreholes, vertical seismic profiling (VSP)
data are known to suffer from intense coupling noise, which causes severe VSP image …

Seismology is among the ancient sciences that concentrate on earthquake disaster
management (EQDM), which directly impact human life and infrastructure resilience. Such a …

Noise suppression for seismic data can meliorate the quality of many subsequent
geophysical tasks. In this work, we propose a novel self-supervised learning method, the …

Surface-related multiples are generally removed as noise. To suppress surface-related
multiples, we propose an unsupervised deep neural network approach based on ensemble …