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Structure-preserving numerical methods are crucial for achieving long-time accurate, stable, consistent and physically meaningful simulations. In this talk, we present H^1 and H(div) conforming spectr...
A fuzzy comprehensive assessment method of running condition was constructed and applied to a large-scale centrifugal compressor set in a petrochemical corporation aiming at the monitoring and early w...
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
As the device size shrinks to nanosize scale, the quantum mechanical effect and atomic level fluctuations become important. The traditional TCAD based on continuous medium model will no longer work. T...
The digitalization of Cultural Heritage based on ground laser scanning technology has been widely applied. High-precision scanning and high-resolution photography of cultural relics are the main metho...
Urban 3D model data is huge and unstructured, LOD and Out-of-core algorithm are usually used to reduce the amount of data that drawn in each frame to improve the rendering efficiency. When the scene i...
International Conference 《Management of large-scale system development》(MLSD) is cross-disciplinary forum of academicians, researchers, teachers and practicians.Since 2007 Conference is held annuall...
The workshop will mark the last of the ImageNet Challenge competitions, and focus on unanswered questions and directions for the future. The workshop will 1) present current results on the challenge c...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Over the past few decades, human recognition has been extensively studied. Most of the research concentrates on typical physiological traits, e.g., face, fingerprint, voice, etc., which are usually di...
Modern Big Data increasingly appears in the form of complex networks and graphs. Examples include social networks, citation networks, communication networks, the World Wide Web. Researchers make use o...
The practical construction of scalable quantum-computer hardware capable of executing nontrivial quantum algorithms will require the juxtaposition of different types of quantum systems. We analyze a m...
Displaying large-scale 3D vector data in landscape map is very important, as 3D vector data can provide many important information, such as: precise geographic boundaries, areas, 3D text marks, differ...
The Total Electron Content (TEC) of the ionosphere is a key parameter for describing the ionospheric state. This paper deals with the large scale behaviour of TEC under low and high solar activity con...
Recently, a lot of attention has been paid to l1 regularization based methods for sparse signal reconstruction (e.g., basis pursuit denoising and compressed sensing) and feature selection (e.g., the L...

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