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A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10826123

Authors: Kalpit M. Vadnerkar, Emmanuela Amen Eze, Rinoj Gautam, Daoru Han, Xin Liang, Tong Shu

Institutions: Clemson University, Missouri University of Science and Technology, University of North Texas, University of Kentucky

Language: English

Topic: Mineral Processing and Grinding

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, University of North Texas

OpenAlex ID: W4406461014

FWCI:

Cites: 31

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Related to: 10