Results 11 to 20 of about 1,611,800 (333)
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks.
Rosa M. Badia +3 more
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High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks.
Rosa M. Badia +3 more
doaj +1 more source
Structured grid-based sparse matrix-vector multiplication and Gauss–Seidel iterations are very important kernel functions in scientific and engineering computations, both of which are memory intensive and bandwidth-limited.
Yang Wang +5 more
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Cognified Distributed Computing [PDF]
Cognification – the act of transforming ordinary objects or processes into their intelligent counterparts through Data Science and Artificial Intelligence – is a disruptive technology that has been revolutionizing disparate fields ranging from corporate law to medical diagnosis.
Ozalp Babaoglu, Alina Sirbu
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A Robust and Effective Two-Factor Authentication (2FA) Protocol Based on ECC for Mobile Computing
The rapid development of mobile computing (e.g., mobile health, mobile payments, and smart homes) has brought great convenience to our lives. It is well-known that the security and privacy of user information from these applications and services is ...
Kaijun Liu +7 more
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Dimensionality Reduction for Human Activity Recognition Using Google Colab
Human activity recognition (HAR) is a classification task that involves predicting the movement of a person based on sensor data. As we can see, there has been a huge growth and development of smartphones over the last 10–15 years—they could be used as a
Sujan Ray +2 more
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Distributed Quantum Computing [PDF]
Quantum computing combines the framework of quantum mechanics with that of computer science. In this paper we give a short introduction to quantum computing and survey the results in the area of distributed quantum computing and its applications to physics.
Buhrman, H.M., Röhrig, H.P.
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Vehicle scheduling problem (VSP) in public transit refers to arranging a fleet of vehicles to make vehicles’ departure times coincide with the times in given bus timetables.
Yahong Liu +4 more
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Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology. [PDF]
Zao JK +12 more
europepmc +3 more sources
FMNISCF: Fine-Grained Multi-Domain Network Interconnection Security Control Framework
The integrated air-ground multi-domain network provides users with a set of shared infrastructures. Security policies can be defined flexibly in the context of multi-domain network semantics.
Bo Lu +4 more
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