In the 21st century, as global trade expands and cargo volumes surge, ports face mounting pressure to operate efficiently. A ...

In a recent study published in the American Journal of Roentgenology, researchers developed a deep learning (DL) model to estimate 30.0-day mortality risk among community-acquired pneumonia (CAP) ...

The deep learning field has been dominated by “large models” requiring massive computational resources and energy, leading to unsustainable environmental and economic challenges. To address this, ...

OCAS, a leading steel research center, is a joint venture between the Flemish regional government and ArcelorMittal. In this case study, OCAS employed Alchemite ™ deep learning to model the behavior ...

Growing port congestion demands smarter management. In a new study, researchers developed a dynamic forecasting framework using real-time operation indicators from a two-stage queuing model to predict ...