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Ecosystem-Oriented Distributed Evolutionary Computing [PDF]
, 2012 We create a novel optimisation technique inspired by natural ecosystems, where the optimisation works at two levels: a first optimisation, migration of genes which are distributed in a peer-to-peer network, operating continuously in time; this process ...
Briscoe, Gerard, De Wilde, Philippe
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Open Research Europe, 2023 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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Open Research Europe, 2022 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
Applied Sciences, 2023 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]
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018 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
Applied Sciences, 2023 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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New ideas for brain modelling 5
AIMS Biophysics, 2021 This paper describes a process for combining patterns and features, to guide a search process and make predictions. It is based on the functionality that a human brain might have, which is a highly distributed network of simple neuronal components that ...
Kieran Greer
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Dimensionality Reduction for Human Activity Recognition Using Google Colab
Information, 2020 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]
, 2003 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.
openaire +2 more sources