Abstract: A fast computational method for evaluating Telford's simplified stochastic model of the coalescence process of cloud droplet growth is shown to be useful for approximating the spectrum development in the early stages of ...

Abstract: Two approximate interpolating formulas suitable for rapid computation are given that fit a combined version of the Shafrir-Neiburger and Davis-Sartor collision efficiencies for unchanged spherical cloud droplets. The method ...

Abstract: Industrial robots generate monitoring data rich in sensitive information, often making enterprises reluctant to share, which impedes the use of data in fault diagnosis modeling. Dataset distillation (DD) is an effective ...

Abstract: Additive manufacturing (AM) is a transformational digital manufacturing technology featured with rapidity, customizability, precision, and economy, which is fundamentally altering the way components are designed and ...

Abstract: The study of intelligent operation and maintenance methods for turbofan engines is of great importance for improving the reliability of turbofan engines. Given the harsh operating conditions and complex structure of the ...