Seagate (United Kingdom)

Data-driven cycle time optimisation in semiconductor manufacturing using machine learning and heuristic search algorithms

In semiconductor wafer fabrication, cycle time strongly affects throughput and cost, yet is hard to control because bottlenecks shift across tools over time. This paper presents a hybrid framework that combines machine learning (ML) and heuristic optimisation to minimise the impo...

Development and Clinical Application of a Thermally Reconstructed Platelet-Rich Plasma Concentrate-Based Biofiller (ExoFiller)

Abstract Autologous plasma-based fillers have gained interest in regenerative aesthetics as biologically active alternatives to conventional dermal fillers. However, conventional PRP-Gel formulations may be limited by rapid degradation, variable bioactivity, and insufficient stru...