ExpDustNet: A hybrid deep learning model for real time prediction of suspended explosive dust particle concentration

Powder Technology 2026

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Authors: Mike Sserunjogi, RP Kingsly Ambrose
DOI: 10.1016/j.powtec.2026.122246
Cited by: 0
References: 31

Fields of Study & Subjects

Air Quality Monitoring and Forecasting Industrial and Mining Safety Combustion and Detonation Processes

Publication details

Journal / source
Powder Technology
Volume
474
Pages
122246–122246
Publication date
7 February 2026
Language
EN