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Applied Informatics

Third International Conference, ICAI 2020, Ota, Nigeria, October 29–31, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Hector Florez

    1. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

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    You can also search for this editor in PubMed   Google Scholar

  2. Sanjay Misra

    1. Covenant University, Ota, Nigeria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1277)

Included in the following conference series:

Conference proceedings info: ICAI 2020.

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About this book

This book constitutes the thoroughly refereed papers of the Second International Conference on Applied Informatics, ICAI 2020, held in Ota, Nigeria, in October 2020. 

The 35 full papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on artificial intelligence; business process management; cloud computing; data analysis; decision systems; health care information systems; human-computer interaction; image processing; learning management systems; software design engineering.


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Table of contents (35 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. A Machine Learning Model to Detect Fake Voice

      • Yohanna Rodríguez-Ortega, Dora María Ballesteros, Diego Renza
      Pages 3-13

    3. A Q-Learning Hyperheuristic Binarization Framework to Balance Exploration and Exploitation

      • Diego Tapia, Broderick Crawford, Ricardo Soto, Felipe Cisternas-Caneo, José Lemus-Romani, Mauricio Castillo et al.
      Pages 14-28

    4. Artificial Neural Network Model for Steel Strip Tandem Cold Mill Power Prediction

      • Danilo G. de Oliveira, Eliton M. da Silva, Fabiano J. F. Miranda, José F. S. Filho, Rafael S. Parpinelli
      Pages 29-42

    5. Fairly Ranking the Neediest in Worldwide Social Systems. An Artificial Intelligence Approach Born in Cov2 Pandemic Outbreak

      • Alvin Gregory, Eduardo Yepes Calderon, Fernando Jimenez, J. Gordon McComb, Fernando Yepes-Calderon
      Pages 43-55

    6. Intelligent Digital Tutor to Assemble Puzzles Based on Artificial Intelligence Techniques

      • Sara M. Cachique, Edgar S. Correa, C. H. Rodriguez-Garavito
      Pages 56-71

    7. Machine Learning Methodologies Against Money Laundering in Non-Banking Correspondents

      • Jorge Guevara, Olmer Garcia-Bedoya, Oscar Granados
      Pages 72-88

    8. Predicting Polypharmacy Side Effects Based on an Enhanced Domain Knowledge Graph

      • Ruiyi Wang, Tong Li, Zhen Yang, Haiyang Yu
      Pages 89-103

    9. Prostate Cancer Diagnosis Automation Using Supervised Artificial Intelligence. A Systematic Literature Review

      • Camilo Espinosa, Manuel Garcia, Fernando Yepes-Calderon, J. Gordon McComb, Hector Florez
      Pages 104-115

    10. The Bio-I Capsule. Preventing Contagion of Aerial Pathogens with Real-Time Reporting in Evalu@

      • Fernando Yepes-Calderon, Andres Felipe Giraldo Quiceno, Jose Fabian Carmona Orozco, J. Gordon McComb
      Pages 116-128

  3. Business Process Management

    1. Front Matter

      Pages 129-129
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    2. A Grammatical Model for the Specification of Administrative Workflow Using Scenario as Modelling Unit

      • Milliam Maxime Zekeng Ndadji, Maurice Tchoupé Tchendji, Clémentin Tayou Djamegni, Didier Parigot
      Pages 131-145

  4. Cloud Computing

    1. Front Matter

      Pages 147-147
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    2. A Linux Scheduler to Limit the Slowdown Generated by Volunteer Computing Systems

      • Jaime Chavarriaga, Antonio de-la-Vega, Eduardo Rosales, Harold Castro
      Pages 149-164

    3. Reliability Analysis in Desktop Cloud Systems

      • Carlos E. Gómez, Jaime Chavarriaga, Harold E. Castro
      Pages 165-180

  5. Data Analysis

    1. Front Matter

      Pages 181-181
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    2. A Case-Based Approach to Assess Employees’ Satisfaction with Work Guidelines in Times of the Pandemic

      • Ana Fernandes, Margarida Figueiredo, Almeida Dias, Jorge Ribeiro, José Neves, Henrique Vicente
      Pages 183-196

    3. A Data-Driven Approach for Automatic Classification of Extreme Precipitation Events: Preliminary Results

      • J. González-Vergara, D. Escobar-González, D. Chaglla-Aguagallo, D. H. Peluffo-Ordóñez
      Pages 197-209

    4. A Data-Driven Method for Measuring the Negative Impact of Sentiment Towards China in the Context of COVID-19

      • Laura M. Muñoz, Maria Fernanda Ramirez, Jorge E. Camargo
      Pages 210-221
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Other volumes

  1. Applied Informatics

Editors and Affiliations

  • Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

  • Covenant University, Ota, Nigeria

    Sanjay Misra

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