Workload

Research on implementing scalable lean robotics in SMEs shows three-to-fourfold time improvements and better material efficiency in sustainable packaging production.

SLAWS framework enhances sparse matrix multiplication by analyzing data locality patterns and orchestrating workloads adaptively, overcoming limitations of fixed-architecture accelerators.

Burnout prevalence among Norwegian GPs increased markedly from 2012 to 2024. Work stress, job satisfaction, and sickness presenteeism emerged as key modifiable factors.

Framework for VM consolidation combining workload prediction and physics-constrained reinforcement learning. Achieves 23.2% energy reduction and 43.5% SLA violation reduction in cloud datacenters.

Route-based MILP analysis shows explicit overtime inclusion and driver workload constraints yield 9.7%–36.4% cost reductions; overtime most benefits long-distance deliveries and cost vs distance.