Natural induction and conceptual clustering are two methodologies pioneered by the GMU Machine Learning and Inference Laboratory for discovering conceptual relationships in data, and presenting them in the forms easy for people to interpret and understand. The first methodology is for supervised learning (learning from examples) and the second for unsupervised learning (clustering). Examples of...

Imaging geological structures through cosmic muon radiography is a newly developed technique which shows a great potential in volcanology. Here we demonstrate that muon radiography permits to detect and characterize mass movements in shallow hydrothermal systems of low-energy active volcanoes like the La Soufrière lava dome. We present an experiment conducted on this volcano during the Summer 2...

Volcanic ash is an aerial hazard to both aircraft and local populations, hence efforts monitor quantify its presence are underway in many regions, protect airspace users as a modeling tool for volcanology. One direct approach acquire in-situ samples using unmanned vehicle, but this introduces possible bias the due collector system, especially across full range of particle sizes. This work explo...

The origin of electrical activity accompanying volcanic ash plumes is an area heightened interest in volcanology. However, it unclear how intense eruption needs to be produce lightning flashes as opposed “vent discharges,” which represent the smallest scale activity. This study targets 97 carefully monitored <3 km high from Sakurajima volcano Japan, June 1 7, 2015. We use multiparametric measur...

Indonesian National Board for Disaster Management (BNPB) claimed the landslide incident on 5 May 2015 in Pangalengan District caused gas pipelines owned by PT. Geothermal Star Energy exploded, 9 people died, 154 displaced and 10 houses buried. Based facts, it is necessary to make an effort reduce risk of landslides utilizing satellite imagery. The purpose this study was identify potential highw...

Abstract Volcano science has been deeply developing during last decades, from a branch of descriptive natural sciences to highly multi-disciplinary, technologically advanced, quantitative sector the geosciences. While progress continuous and substantial, volcanological community still lacks big scientific endeavors comparable in size objectives many that characterize other fields. Examples incl...

Morphometric analyses are based on multiparametric data sets that describe quantitatively the shapes of objects. The stochastic nature fracture formation processes break up magma during explosive eruptions yields mixtures particles have highly varied shapes. In volcanology, morphometric analysis is applied to these with diverse for two purposes: (1) fingerprint tephra from individual and use fi...

Since its introduction to volcanology in the mid-2000 s, SO 2 camera has become an important instrument for acquisition of accurate and high time-resolution emission rates, aiding hazard assessment volcanological research. However, with exception a few locations (Stromboli, Etna, Kīlauea), hitherto majority measurements have been made on discrete field campaigns, which provide only brief snapsh...