Model order reduction is a pivotal methodology in the analysis and control of dynamic systems, wherein high-order models are simplified into reduced order models (ROMs) that capture the fundamental ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

Correspondence to Dr Adam Hulme, Centre for Human Factors and Sociotechnical Systems, Faculty of Arts, Business and Law, University of the Sunshine Coast, Sippy Downs QLD 4556, Australia; ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...