2-2-2-2-2-2-2-2-2-2-2-2-2 From: Luciano Zuccarello <lzuk@xxxxxx> Dear Colleagues, We are pleased to inform you that Applied Sciences (ISSN 2076-3417) is currently running a Special Issue entitled "Applications of Machine Learning on Earth Sciences". This special issue belongs to the section "Earth Sciences and Geography". In recent years, interest has increased in time series and image processing analyses in a number of fields related to earth sciences. The improvements in data acquisition systems have increased the quantity and quality of data analysed, processed, and interpreted, and have shortened the time in which results can be produced. The large data volume acquired by the different acquisition systems requires suitable analysis tools that enhance traditional approaches by extracting and applying the latent knowledge embedded in the data. One of the key challenges is structuring and organising the huge amount of raw data; the type of information that could aid the scientific community must be determined to achieve a deeper knowledge of the complex dynamics that govern the geophysical and geochemical systems of our planet. Upcoming methodologies need to address the long-term challenges of data management and accessibility. Data mining, cloud computing, and machine learning are the most appropriate disciplines for the analyses of these high throughput data. In this Special Issue, we welcome contributions concerning recent machine learning advances applied to earth sciences that improve our understanding of the complexity of our planet. We would also appreciate if you could forward this to your team members and colleagues who may also be interested in the topic. We look forward to hearing from you, and we remain at your disposal for more information. We think you could make an excellent contribution so we encourage you to take a look at the Call for Papers and goals of the Special Issue at the above link: https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Earth_Sciences The submission deadline is *31 July 2020*. We also encourage authors to send a tentative title and short abstract to the team of Guest Editors in advance, at the following email: lzuk@xxxxxx janire@xxxxxx We would also appreciate if you could forward this to your team members and colleagues who may also be interested in the topic. We look forward to hearing from you, and we remain at your disposal for more information. Editorial Team Luciano Zuccarello, Universidad de Granada, Granada, Spain. (lzuk@xxxxxx) Janire Prudencio, Universidad de Granada, Granada, Spain. (janire@xxxxxx) 2-2-2-2-2-2-2-2-2-2-2-2-2 ============================================================== Volcano Listserv is a collaborative venture among Arizona State University (ASU), Portland State University (PSU), the Global Volcanism Program (GVP) of the Smithsonian Institution's National Museum of Natural History, and the International Association for Volcanology and Chemistry of the Earth's Interior (IAVCEI). ASU - http://www.asu.edu/ PSU - http://pdx.edu/ GVP - http://www.volcano.si.edu/ IAVCEI - https://www.iavceivolcano.org/ To unsubscribe from the volcano list, send the message: signoff volcano to: listserv@xxxxxxx, or write to: volcano-request@xxxxxxx. To contribute to the volcano list, send your message to: volcano@xxxxxxx. Please do not send attachments. ============================================================== ------------------------------ End of Volcano Digest - 20 Feb 2020 to 24 Feb 2020 (#2020-24) *************************************************************
