Trustworthy mining autonomy requires more than accurate state estimation: a digital twin should also indicate when the uncertainty attached to its state representation is unreliable. We formulate this requirement for Eco-Cognitive Mining Systems (ECMS) as a Calibrated Self-Awaren...
Open access
Research Article10.9734/ajarr/2026/v20i101475
Mining operations increasingly require intelligent control strategies capable of balancing productivity with energy efficiency, water stewardship, and operational stability. While Mining 4.0 technologies have enhanced automation and monitoring capabilities, most existing systems...
Open access
Research Article10.9734/air/2026/v27i11581
The mining industry faces growing pressure to meet global resource demands while adhering to strict environmental, social, and governance (ESG) standards. Existing frameworks in Mining 4.0 largely focus on digital transformation but lack environmental self-awareness and adaptive...
Open access
Research Article10.9734/air/2025/v26i51519
The mining industry is undergoing a profound transformation driven by the integration of advanced technologies across the entire mining lifecycle. This systematic review presents a comprehensive analysis of key innovations from early-stage exploration to post-closure environmenta...
Open access
Research Article10.9734/cjast/2025/v44i64564
This study presents a combined approach of roasting and acid leaching for the removal of phosphorus from high-phosphorus oolitic hematite iron ore sourced from the El Bagrawiya region, Sudan. Phosphorus is a detrimental impurity in ironmaking due to its adverse effects on steel p...
Open access
Research Article10.9734/cjast/2025/v44i54541