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High-Performance Modelling and Simulation for Big Data Applications
other
Editor(s):
Joanna Kołodziej
,
Horacio González-Vélez
Publication date
(Print):
2019
Publisher:
Springer International Publishing
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Book
ISBN (Print):
978-3-030-16271-9
ISBN (Electronic):
978-3-030-16272-6
Publication date (Print):
2019
DOI:
10.1007/978-3-030-16272-6
SO-VID:
546f0ab0-2723-429f-a3b0-50d730335555
License:
https://creativecommons.org/licenses/by/4.0
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Book chapters
pp. 1
Why High-Performance Modelling and Simulation for Big Data Applications Matters
pp. 36
Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems
pp. 69
Tail Distribution and Extreme Quantile Estimation Using Non-parametric Approaches
pp. 88
Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges
pp. 138
Big Data in 5G Distributed Applications
pp. 163
Big Data Processing, Analysis and Applications in Mobile Cellular Networks
pp. 186
Medical Data Processing and Analysis for Remote Health and Activities Monitoring
pp. 221
Towards Human Cell Simulation
pp. 250
Cloud-Based High Throughput Virtual Screening in Novel Drug Discovery
pp. 279
Ultra Wide Band Body Area Networks: Design and Integration with Computational Clouds
pp. 307
Survey on AI-Based Multimodal Methods for Emotion Detection
pp. 325
Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
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