Article citationsMore>>

Yaghoobi, H., Hamid, M., Ali Mohammad, E.F. and Nezamabadi-Pour, H. (2019) Determining the Fragmented Rock Size Distribution Using Textural Feature Extraction of Images. Powder Technology, 342, 630-641.
https://doi.org/10.1016/j.powtec.2018.10.006

has been cited by the following article:

• TITLE: RETRACTED: Rock Fragmentation Classification Applying Machine Learning Approaches

  AUTHORS: Samaneh Liaghat, Nadhir Al Ansari, Armin Iravani

  KEYWORDS: Rock Blasting, Load Dump Haul, Image Analysis, Artificial Intelligence, Mine Productivity

  JOURNAL NAME: Engineering, Vol.15 No.6, June 13, 2023

  ABSTRACT: Short Retraction Notice The paper does not meet the standards of "Engineering". Thispaperhas been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE'sRetraction Guidelines.The aim is to promote the circulation of scientific research by offering an ideal research publication platform with due consideration of internationally accepted standards on publication ethics. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused. Editor guiding this retraction:Prof.David L.Carroll (Editor-in-Chief of ENG)