Abstract Background In the active shape model framework, principal component analysis (PCA) based statistical shape models (SSMs) are widely employed to incorporate high-level a priori shape knowledge of the structure to be segmented to achieve robustness.A crucial component of building SSMs is to establish shape correspondence between all training
Engagement/Disengagement Characteristics of Pull-Type Diaphragm Spring Clutch for Heavy-Duty Commercial Vehicles
Abstract Considering that the clutch cover assembly and driven disc assembly show common effect on the engagement/disengagement characteristics of the pull-type diaphragm spring clutches for heavy-duty commercial vehicles, the diaphragm spring, cushion plate, and friction plate, are thoroughly analyzed in this paper.The A-L method and the micro-ele
Using recurrent neural networks and web crawlers to scrape open data from the Internet.
Web crawling techniques in conjunction with Recurrent Neural Networks (RNNs) have been applied to several areas in the field of data mining on the Internet, but how they would best be applied to searching for open datasets has not yet been studied.Open data are data generated by the community and serve as effective alternatives to more centralized
New Tsunami Evacuation Training Methods: A Tsunami Evacuation Training Application
Despite wilds of eldraine prerelease guide evacuation on foot being recommended by authorities, evacuation in practice is assumed to include evacuation on foot and evacuation by car, as a certain amount of evacuation by car is to be expected.We developed a tsunami evacuation training application operating on smartphones and tablets, and a tsunami e