Complex networks provide a convenient way to model the process of occupational injury occurrence at the system level, and node importance metrics are usually employed to quantify the influence of the factors leading to injuries.However, the traditional metrics such as degree and betweenness are based on the supposition that the network is a homogen
The estimation of fluid flows inside a centrifugal pump in realtime is a challenging task that cannot be achieved with long-established methods like CFD due to their computational demands.We Scullcap use a projection-based reduced order model (ROM) instead.Based on this ROM, a realtime observer can be devised that estimates the temporally and spati
In this study, edited on the basis of a critical review of domestic and foreign literature, as well as authors’ own analyzes, previously presented in several articles (Słodowa-Hełpa 2015; Gorynia 2021 and ZINC 2022), mainly in two shorter texts published in popular magazines with a range of Poland (Gory-nia and Słodowa-Hełpa 2022a, 2022b), se
This study aims to propose a comparison model of Chinese and Japanese traditional opera tunes based on deep learning (DL) and artificial intelligence technology, which can be used to Can Opener effectively analyze and classify the tune characteristics of Chinese and Japanese traditional opera.To achieve this aim, a multi-layered DL model, including
Air quality is a primary concern for many San Joaquin Valley residents.In addition to rapid population growth, a widening interface between urban and agricultural communities, and increasing traffic along Greetings Card the I-5 and Hwy.99 corridors, farming practices in the San Joaquin Valley subject agricultural workers to high concentrations of a