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Survey of deployment locations and underlying hardware architectures for contemporary deep neural networks

International Journal of Distributed Sensor Networks, 2019-08, Vol.15 (8), p.155014771986866

2019

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Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains

Journal of big data, 2023-12, Vol.10 (1), p.89-25

2023

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Novel Meta-Features for Automated Machine Learning Model Selection in Anomaly Detection

IEEE access, 2021, Vol.9, p.89675-89687

2021

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Exploring the DataFlow Supercomputing Paradigm: Example Algorithms for Selected Applications

1st ed. 2019., 2019

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DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations

1st ed. 2017 edition., 2017

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Experiences in the teaching of the DataFlow paradigm: Lessons learned

Telfor Journal, 2018, Vol.10 (2), p.108-111

2018

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Comparing Controlflow and Dataflow for Tensor Calculus: Speed, Power, Complexity, and MTBF

High Performance Computing, 2018, Vol.11203, p.329-346

2018

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Meta features for anomaly detection in AutoML

2022 30th Telecommunications Forum (TELFOR), 2022, p.1-2

2022

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On Cloud-Supported Web-Based Integrated Development Environment for Programming DataFlow Architectures

Exploring the DataFlow Supercomputing Paradigm, 2019, p.41-51

2019

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A Survey of Deep Neural Networks: Deployment Location and Underlying Hardware

2018 14th Symposium on Neural Networks and Applications (NEUREL), 2018, p.1-6

2018

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Minimization and Maximization of Functions: Golden-Section Search in One Dimension

Exploring the DataFlow Supercomputing Paradigm, 2019, p.55-90

2019

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An Agri-Food Data Platform for Food Safety and Certification

2022 International Conference on Computational Science and Computational Intelligence (CSCI), 2022, p.634-639

2022

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Implementation of perception algorithm using DataFlow paradigm

2016 13th Symposium on Neural Networks and Applications (NEUREL), 2016, p.1-5

2016

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Method of Big-Graph Partitioning Using a Skeleton Graph

Exploring the DataFlow Supercomputing Paradigm, 2019, p.3-39

2019

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Application of Maxeler DataFlow Supercomputing to Spherical Code Design

Exploring the DataFlow Supercomputing Paradigm, 2019, p.133-168

2019

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