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International Conference on Applied Technologies

5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22–24, 2023, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Miguel Botto-Tobar

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  2. Marcelo Zambrano Vizuete

    1. Universidad Técnica del Norte, Ibarra, Ecuador

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  3. Sergio Montes León

    1. Universidad Rey Juan Carlos, Madrid, Spain

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  4. Pablo Torres-Carrión

    1. Universidad Técnica Particular de Loja, Loja, Ecuador

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  5. Benjamin Durakovic

    1. International University of Sarajevo, Sarajevo, Bosnia and Herzegovina

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2049)

Included in the following conference series:

Conference proceedings info: ICAT 2023.

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About this book

The three-volume proceedings set CCIS 2049, 2050 and 2051 constitutes the refereed proceedings of the 5th International Conference on Applied Technologies on International Conference on Applied Technologies, ICAT 2023, held in Samborondon, Ecuador, November 22–24, 2023.

The 66 papers included in these proceedings were carefully reviewed and selected from 250 submissions. They are organized in sections by topics as follows: Intelligent Systems, Communications, e-Commerce, e-Government, e-Learning, Electronics, Machine Vision, Security, Technology Trends, and Z AT for Engineering Aplications.

Keywords

Table of contents (20 papers)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Intelligent Systems

    1. Front Matter

      Pages 1-1
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    2. Mobile Application for Calorie Control Using Machine Learning

      • Kelly Rocio Huamani-Tito, Gerardo Francisco Huaman-La Cruz, Emilio Antonio Herrera-Trujillo
      Pages 3-16

    3. Application of Machine Learning for Air Quality Analysis

      • Jesús Ocaña, Guillermo Miñan, Luis Chauca, Karina Espínola, Luis Leiva
      Pages 17-30

    4. Unsupervized Techniques to Identify Patterns in Gynecologic Information

      • Marco Chacaguasay, Ruth Reátegui, Priscila Valdiviezo-Diaz, Janneth Chicaiza
      Pages 31-43

    5. Web Application for Early Cataract Detection Using a Deep Learning Cloud Service

      • Fatima Dayana Galindo-Vilca, Fredy Daniel Astorayme-Garcia, Esther Aliaga-Cerna
      Pages 44-58

    6. Analyze and Implement a Reinforced AI Chatbot in Guayaquil to Improve Mental Health in Adolescents with the Use of the Neural Generative Models

      • Nicole Wayn-Tze Wong Delacruz, Marco Sotomayor Sanchez
      Pages 59-76

    7. Detection of Ovarian Cancer Using Improved Deep Learning Model

      • Mohammed Ahmed Mustafa, Zainab Failh Allami, Mohammed Yousif Arabi, Maki Mahdi Abdulhasan, Ghadir Kamil Ghadir, Hayder Musaad Al-Tmimi
      Pages 77-93

    8. Navigating the Chatbot Terrain: AI-Driven Conversational Interfaces

      • Siddharth Jain, Ghanshyam Prasad Dubey, Devendra Kumar Mishra, Tanushka Pandey, Ayush Giri, Rajit Nair
      Pages 94-106

    9. Intelligent Virtual Assistant for Elevators Powered by Facial Recognition and Voice Commands

      • Bryan Yupangui Carrillo, William Montalvo
      Pages 107-120

    10. Otsu Segmentation and Deep Learning Models for the Detection of Melanoma

      • Mohammed Ahmed Mustafa, Zainab Failh Allami, Mohammed Yousif Arabi, Maki Mahdi Abdulhasan, Ghadir Kamil Ghadir, Hayder Musaad Al-Tmimi
      Pages 121-133

    11. Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer

      • Mohammed Ahmed Mustafa, Abual-hassan Adel, Maki Mahdi Abdulhasan, Zainab Alassedi, Ghadir Kamil Ghadir, Hayder Musaad Al-Tmimi
      Pages 134-148

    12. Generic Framework of New Era Artificial Intelligence and Its Applications

      • Brij Mohan Sharma, Dinesh Kumar Verma, Kapil Dev Raghuwanshi, Shivendra Dubey, Rajit Nair, Sachin Malviya
      Pages 149-163

    13. Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen

      • Shivendra Dubey, Dinesh Kumar Verma, Mahesh Kumar
      Pages 164-172

    14. Improving Dynamic Behavior of Vehicular Ad Hoc Networks by Integrating Game Theory Technique

      • Shobhit Mani Tiwari, Anurag Singh Baghel
      Pages 173-183

    15. Machine Learning to Investigate Determinants of Intention to Purchase Organic Food

      • Tanveer Kaur, Anil Kalotra
      Pages 184-193

    16. Influence Analysis of Driving Style on the Energy Consumption of an Electric Vehicle Through PID Signals Study

      • Néstor Rivera, Juan Molina, David Idrovo, Jeyson Narváez
      Pages 194-205

    17. Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education

      • Priscila Valdiviezo-Diaz, Janneth Chicaiza
      Pages 206-218

    18. Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining

      • Luis Barba-Guaman, Priscila Valdiviezo-Diaz
      Pages 219-230

    19. Predictive Model for Accurate Horticultural Product Pricing Using Machine Learning

      • Davis Alessandro Suclle Surco, Andres Antonio Assereto Huamani, Emilio Antonio Herrera-Trujillo
      Pages 231-246
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Other volumes

  1. International Conference on Applied Technologies

  2. International Conference on Applied Technologies

  3. International Conference on Applied Technologies

Editors and Affiliations

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Miguel Botto-Tobar

  • Universidad Técnica del Norte, Ibarra, Ecuador

    Marcelo Zambrano Vizuete

  • Universidad Rey Juan Carlos, Madrid, Spain

    Sergio Montes León

  • Universidad Técnica Particular de Loja, Loja, Ecuador

    Pablo Torres-Carrión

  • International University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Benjamin Durakovic

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