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Data-Driven Innovation for Intelligent Technology

Perspectives and Applications in ICT

  • Book
  • © 2024

Overview

Editors:
  1. Hiram Ponce

    1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

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  2. Jorge Brieva

    1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

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  3. Octavio Lozada-Flores

    1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

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  4. Lourdes Martínez-Villaseñor

    1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

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  5. Ernesto Moya-Albor

    1. Facultad de Ingenieria, Universidad Panamericana, Mexico, Mexico

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  • Focuses on new perspectives and applications of data-driven innovation technologies and Applied AI
  • Includes theory and use cases to help readers understand the basics of data-driven innovation
  • Emphasizes how the data lifecycle is applied in current technologies in different business domains and industries

Part of the book series: Studies in Big Data (SBD, volume 148)

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About this book

​

This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value.

It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others.

This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.

Keywords

Table of contents (9 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Contactless Video-Based Vital-Sign Measurement Methods: A Data-Driven Review

    • Jorge Brieva, Ernesto Moya-Albor, Hiram Ponce, Andrés Escobedo-Gordillo
    Pages 1-38

  3. Enhancing STEAM in Education 4.0: A Review of Data-Driven Technological Improvements

    • David Escobar-Castillejos, Ari Yair Barrera-Animas, Octavio Lozada-Flores, Julieta Noguez
    Pages 39-65

  4. State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications

    • Alexander Gelbukh, Muhammad Tayyab Zamir, Fida Ullah, Muzammal Ali, Taiba Taiba, Muhammad Usman et al.
    Pages 67-76

  5. Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future

    • Karina Lucio Paniagua, Joaquina Niembro-Garcia
    Pages 77-110

  6. From Project-Based Learning to Innovative Technologies in Mechatronics Course: A Case Study in a Private University in Mexico City

    • Hiram Ponce, Ernesto Moya-Albor, Jorge Brieva
    Pages 111-134

  7. Critical Factors in the Participation of Women in Science, Technology, Engineering, and Mathematics -STEM- Disciplines in Mexico

    • Antonieta Martínez-Velasco, Antonia Terán-Bustamante, Lorena de La Torre-Díaz, Fernando José Menéndez González
    Pages 135-153

  8. New Particle Swarm Optimizer Algorithm with Chaotic Maps for Combinatorial Global Optimization Problems. An Application to the Deconvolution of Mössbauer Spectra

    • Felix Martinez-Rios, Omar Jiménez-López, Luis Alejandro Alvarez Guillen
    Pages 155-193

  9. Embedded Computer Vision for Agricultural Applications

    • Adán Medina Rosales, Pedro Ponce Cruz
    Pages 195-222

  10. Ethical Design Framework for Artificial Intelligence Healthcare Technologies

    • Lourdes Martínez-Villaseñor, Hiram Ponce
    Pages 223-246
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Editors and Affiliations

  • Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor

  • Facultad de Ingenieria, Universidad Panamericana, Mexico, Mexico

    Ernesto Moya-Albor

About the editors


Bibliographic Information

  • Book Title: Data-Driven Innovation for Intelligent Technology

  • Book Subtitle: Perspectives and Applications in ICT

  • Editors: Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-031-54277-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Hardcover ISBN: 978-3-031-54276-3Published: 17 April 2024

  • Softcover ISBN: 978-3-031-54279-4Due: 18 May 2024

  • eBook ISBN: 978-3-031-54277-0Published: 16 April 2024

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XII, 246

  • Number of Illustrations: 9 b/w illustrations, 59 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Big Data, Artificial Intelligence

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