Recent developments in instrumentation and methodology are major driving forces in the
advances of solid Earth sciences. The deployment of large and dense sensor networks …

Mt. Vesuvius is a high-hazard active volcano surrounded by a densely populated area.
Since human activities generate high levels of seismic noise, recognizing low-amplitude …

This study focused on seismic event detection in a volcano using machine learning by
leveraging the advantages of software/hardware co-design for a system on a chip (SoC) …

Seabed logging (SBL) is an application of electromagnetic (EM) waves for detecting
potential marine hydrocarbon-saturated reservoirs reliant on a source–receiver system. One …

Buried channels are considered stratigraphic traps, essential in petroleum exploration and
drilling hazard management. A thorough investigation of the buried channels provides …

The propagation of infrasound in the atmosphere is influenced by atmospheric
environmental parameters, which affect the precise localization of the infrasound source …

This study focuses on volcano seismic event detection using machine learning, leveraging
the advantages of software/hardware co-design for system on chip (SoC) based on field …

This work proposes a stochastic process-based inversion to estimate hydrocarbon resistivity
based on multifrequency electromagnetic (EM) data. Currently, mesh-based algorithms are …

Volcanic eruptions pose a significant risk to communities located near active volcanoes.
Disaster mitigation and risk reduction efforts rely on detecting and monitoring volcanic …

The problem of object perimeter protection by human steps detection using autonomous
seismic activity sensors is solved in this paper. The results of the CME (consecutive mean …