Publications related to Underground soft-rock mining

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

Marcos Rubinstein, Amirhossein Mostajabi

Article Open Access Published: 08 November 2019 Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques Amirhossein Mostajabi, Declan L. Finney, Marcos Rubinstein & Farhad Rachidi npj Climate and ...

2019

Microbial communities associated with uranium in-situ recovery mining process are related to acid mine drainage assemblages

Rizlan Bernier-Latmani, Pierre Rossi, Luiz Felippe De Alencastro, Thomas Coral

A large fraction (47%) of the world's uranium is mined by a technique called “In Situ Recovery” (ISR). This mining technique involves the injection of a leaching fluid (acidic or alkaline) into a uranium-bearing aquifer and the pumping of the resulting sol ...

2018

Biostimulation as a remediation strategy post uranium acidic in situ recovery

Rizlan Bernier-Latmani, Pierre Rossi, Thomas Coral, Brian Carl Reinsch

A large fraction (47%) of the world’s uranium is mined by a technique called “In Situ Recovery”. This mining technique involves the injection of a leaching fluid (acid or alkaline) into a uranium-bearing aquifer and the pumping of the resulting solution th ...

2016

Automatic Construction and Multi-level Visualization of Semantic Trajectories

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty, Lazar Spremic

With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories are of heterogeneous entities - vehicles, people, animals, parcels etc. Most ...

2010

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.