New Frontiers in IOT and Computational Intelligence Applications in the Mining Industry, Volume II

Dear Colleagues,

In our first volume, we showed that computational intelligence (machine learning, deep learning, genetic algorithms, etc.) is a mature and constantly evolving force within mining and mineral processing systems.  However, gauging and assessing this evolution is an important task to properly evaluate progress and disseminate knowledge to a wider audience.

The minerals industry is large and diverse. Companies of all sizes are attempting to efficiently extract wealth from natural resources. This process is enabled by technology of various kinds. Although many companies are technologically mature within their operations, others are technology laggards. Industrial internet of things (IOT) applications are growing the market of technology by reducing costs and, thus, expanding scale. These systems continue to close the tracking gaps of operations and improve the scalability of computational intelligence (CI) and site optimization. These new data acquisition points will continue to push the need for enhanced CI tools to handle and analyze these new data streams.

Therefore, in this Special Issue, we would like to continue to compile the state of the art in real-world mining industry IOT applications and CI. What is being applied at mine sites? What real-world tools are being developed for mining industry applications? What is working? Why do you think it is working? What is not working? What are the challenges?

Papers can be on any aspect of the mining industry. They must, however, be about IOT applications and/or computational intelligence applications that disrupt existing processes.  They must describe the application, benefits being seen, and/or the challenges to their deployment or development. Papers should not look like advertisements for commercial products. They should have sufficient technical information to satisfy reviewers, as well as readers.

Prof. Dr. Rajive Ganguli
Dr. Pratt Rogers
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Minerals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.