Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science
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(FIVE YEARS 75)

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9783030587987, 9783030587994

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Correction to: Computational Science and Its Applications – ICCSA 2020

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_75 ◽

2021 ◽

pp. C1-C1

Author(s):

Osvaldo Gervasi ◽

Beniamino Murgante ◽

Sanjay Misra ◽

Chiara Garau ◽

Ivan Blečić ◽

...

Keyword(s):

Computational Science

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Evolutionary Approach of Clustering to Optimize Hydrological Simulations

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_45 ◽

2020 ◽

pp. 617-633

Author(s):

Elnaz Azmi ◽

Marcus Strobl ◽

Rik van Pruijssen ◽

Uwe Ehret ◽

Jörg Meyer ◽

...

Keyword(s):

Evolutionary Approach

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Hybrid Model for the Analysis of Human Gait: A Non-linear Approach

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_16 ◽

2020 ◽

pp. 216-231

Author(s):

Ramón E. R. González ◽

Carlos Collazos-Morales ◽

João P. Galdino ◽

P. H. Figueiredo ◽

Juan Lombana ◽

...

Keyword(s):

Hybrid Model ◽

Human Gait ◽

Linear Approach ◽

Non Linear

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Numerical Simulation of the Reactive Transport at the Pore Scale

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_9 ◽

2020 ◽

pp. 123-134

Author(s):

Vadim Lisitsa ◽

Tatyana Khachkova

Keyword(s):

Numerical Simulation ◽

Reactive Transport ◽

Pore Scale

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Improving the Clustering Algorithms Automatic Generation Process with Cluster Quality Indexes

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_73 ◽

2020 ◽

pp. 1017-1031

Author(s):

Michel Montenegro ◽

Aruanda Meiguins ◽

Bianchi Meiguins ◽

Jefferson Morais

Keyword(s):

Clustering Algorithms ◽

Automatic Generation ◽

Generation Process ◽

Quality Indexes ◽

Cluster Quality

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A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_71 ◽

2020 ◽

pp. 992-1002

Author(s):

Miloš Ajčević ◽

Aleksandar Miladinović ◽

Giulia Silveri ◽

Giovanni Furlanis ◽

Tommaso Cilotto ◽

...

Keyword(s):

Big Data ◽

Functional Outcomes ◽

Bayesian Framework ◽

Stroke Patients ◽

Variational Bayesian

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Migration of Artificial Neural Networks to Smartphones

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_61 ◽

2020 ◽

pp. 845-858

Author(s):

Milan Kostak ◽

Ales Berger ◽

Antonin Slaby

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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Factors Affecting the Cost to Accuracy Balance for Real-Time Video-Based Action Recognition

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_58 ◽

2020 ◽

pp. 807-818

Author(s):

Divina Govender ◽

Jules-Raymond Tapamo

Keyword(s):

Real Time ◽

Action Recognition ◽

Factors Affecting ◽

The Cost

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One-Class SVM to Identify Candidates to Reference Genes Based on the Augment of RNA-seq Data with Generative Adversarial Networks

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_51 ◽

2020 ◽

pp. 704-717

Author(s):

Edwin J. Rueda ◽

Rommel Ramos ◽

Edian F. Franco ◽

Orlando Belo ◽

Jefferson Morais

Keyword(s):

Reference Genes ◽

Generative Adversarial Networks ◽

Rna Seq ◽

Adversarial Networks

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An Approach to the Selection of a Time Series Analysis Method Using a Neural Network

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-58799-4_50 ◽

2020 ◽

pp. 692-703

Author(s):

Dmitry Yashin ◽

Irina Moshkina ◽

Vadim Moshkin

Keyword(s):

Neural Network ◽

Time Series ◽

Time Series Analysis ◽

Analysis Method ◽

Series Analysis ◽

Selection Of

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Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Computational Science and Its Applications – ICCSA 2020

Evolutionary Approach of Clustering to Optimize Hydrological Simulations

Hybrid Model for the Analysis of Human Gait: A Non-linear Approach

Numerical Simulation of the Reactive Transport at the Pore Scale

Improving the Clustering Algorithms Automatic Generation Process with Cluster Quality Indexes

A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients

Migration of Artificial Neural Networks to Smartphones

Factors Affecting the Cost to Accuracy Balance for Real-Time Video-Based Action Recognition

One-Class SVM to Identify Candidates to Reference Genes Based on the Augment of RNA-seq Data with Generative Adversarial Networks

An Approach to the Selection of a Time Series Analysis Method Using a Neural Network

Computational Science and Its Applications – ICCSA 2020 - Lecture Notes in Computer Science
Latest Publications