Results 51 to 60 of about 2,734,579 (285)
Frontiers in Energy Research, 2021 Scalable parallel algorithm for particle transport is one of the main application fields in high-performance computing. Discrete ordinate method (Sn) is one of the most popular deterministic numerical methods for solving particle transport equations.
Biao Li +7 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
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Experimental Demonstration Of The Fixed-Point Sparse Coding Performance
Cybernetics and Information Technologies, 2014 The Sparse Coding (SC) model has been proved to be among the best neural networks which are mainly used in unsupervised feature learning for many applications.
Jiang Jingfei +3 more
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A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis
IEEE Access, 2020 Subspace clustering has been widely applied to detect meaningful clusters in high-dimensional data spaces. And the sparse subspace clustering (SSC) obtains superior clustering performance by solving a relaxed ℓ0-minimization problem with ℓ1-
Xiaoge Deng +3 more
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Anomaly Detection in Maritime AIS Tracks: A Review of Recent Approaches
Journal of Marine Science and Engineering, 2022 The automatic identification system (AIS) was introduced in the maritime domain to increase the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and contain, among others, information about the identification, position ...
Konrad Wolsing +3 more
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Reconfiguration of Distributed Information Fusion System ? A case study [PDF]
, 2009 Information Fusion Systems are now widely used in different fusion contexts, like scientific processing, sensor networks, video and image processing. One of the current trends in this area is to cope with distributed systems.
Benoit, Eric +3 more
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Distributed Gaussian Processes
, 2015 Copyright © 2015 by the author(s).To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression. Unlike state-of-the-art sparse GP approximations, the rBCM is conceptually simple and does not rely on inducing or ...
Deisenroth, MP, Ng, JW
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Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
GiViP: A Visual Profiler for Distributed Graph Processing Systems
, 2017 Analyzing large-scale graphs provides valuable insights in different application scenarios. While many graph processing systems working on top of distributed infrastructures have been proposed to deal with big graphs, the tasks of profiling and debugging
A Arleo +36 more
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Distributed XML Processing [PDF]
, 2009 XML is commonly used to store data and to exchange it between a variety of systems. While centralized querying of XML data is increasingly well understood, the same is not true in a scenario where the data is spread across multiple nodes in a distributed system.
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