Abstract: Creating real-time indoor environment digital twins (DTs) is challenging when integrating diverse datasets with Building Information Models (BIMs). This study compares four machine learning ...
Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...
AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results