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New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence

The DITTET 2024 Collection

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Daniel H. de la Iglesia

    1. Faculty of Science, University of Salamanca, Salamanca, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Juan F. de Paz Santana

    1. Faculty of Science, University of Salamanca, Salamanca, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Alfonso J. López Rivero

    1. Faculty of Informatics, Pontifical University of Salamanca, Salamanca, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Includes recent research on Disruptive Technologies, Tech Ethics and Artificial Intelligence
  • proceedings of the 4th Int. Conference on Disruptive Technologies, Tech Ethics and Artificial Intelligence (DiTTEt 2024)
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1459)

Included in the following conference series:

Conference proceedings info: DiTTEt 2024.

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About this book

This book uniquely explores the intersection of artificial intelligence, big data, the Internet of Things, and bioinformatics, emphasizing the necessity for a revised ethical framework. It discovers groundbreaking insights into the ethical dimensions of emerging technologies with this comprehensive guide. It highlights the latest scientific and technical advancements, addressing their social impacts and legal challenges. Ideal for academics, industry professionals, and multidisciplinary researchers, this book offers invaluable perspectives on the ethical development of disruptive technologies and uses it to stay ahead in the evolving field of tech ethics, ensuring responsible innovation in diverse areas such as climate change, politics, economy, and security.

Keywords

Table of contents (42 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Track on Artificial Intelligence

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Integrating AI Techniques for Enhanced Management and Operation of Electric Vehicle Charging Stations

      • Filipe Cardoso, José Rosado, Marco Silva, Pedro Martins, Paulo Váz, José Silva et al.
      Pages 3-14

    3. Ensemble Learning Models for Wind Power Forecasting

      • Samara Deon, José Donizetti de Lima, Geremi Gilson Dranka, Matheus Henrique Dal Molin Ribeiro, Julio Cesar Santos dos Anjos, Juan Francisco de Paz Santana et al.
      Pages 15-27

    4. Predictive Model for Estimating Body Weight Based on Artificial Intelligence: An Integrated Approach to Pre-processing and Evaluation

      • Diana M. Figueiredo, Rui P. Duarte, Carlos A. Cunha
      Pages 28-39

    5. Requirements on and Procurement of Explainable Algorithms—A Systematic Review of the Literature

      • Ulrik Franke, Celine Helgesson Hallström, Henrik Artman, Jacob Dexe
      Pages 40-52

    6. Mapping Changes in Procurement Management for Project Implementation in the Food Sector: An Applied Review to the Principles PMBOK®Guide v.7 with DotProject+

      • Jhony Reinheimer Magalhães, André Fabiano de Moraes, Luis Augusto Silva
      Pages 53-61

    7. Plant Disease Classification Through Image Representations with Embeddings

      • Arturo Álvarez-Sánchez, Diego M. Jiménez-Bravo, Luís Augusto Silva, Álvaro Lozano Murciego, André Sales Mendes
      Pages 62-72

    8. Explaining Social Recommendations Using Large Language Models

      • Md. Ashaduzzaman, Thi Nguyen, Chun-Hua Tsai
      Pages 73-84

    9. Utilizing Retrieval-Augmented Large Language Models for Pregnancy Nutrition Advice

      • Taranum Bano, Jagadeesh Vadapalli, Bishwa Karki, Melissa K. Thoene, Matt VanOrmer, Ann L. Anderson Berry et al.
      Pages 85-96

    10. Vineyard Leaf Disease Prediction: Bridging the Gap Between Predictive Accuracy and Interpretability

      • Noor E. Mobeen, Sarang Shaikh, Livinus Obiora Nweke, Mohamed Abomhara, Sule Yildirim Yayilgan, Muhammad Fahad
      Pages 97-108

    11. Application of Unmanned Aerial Vehicles for Autonomous Fire Detection

      • José Silva, David Sousa, Paulo Vaz, Pedro Martins, Alfonso López-Rivero
      Pages 109-120

  3. Track on Disruptive Technologies

    1. Front Matter

      Pages 121-121
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    2. Smart City Air Quality Monitoring: A Mobile Application for Intelligent Cities

      • Pedro Martins, Diogo Silva, João Pinto, José Varanda, Paulo Váz, José Silva et al.
      Pages 123-132

    3. On the Use of Message Brokers for Real-Time Monitoring Systems

      • Manuel Lopes, Luciano Correia, João Henriques, Filipe Caldeira
      Pages 133-147

    4. Incorporating Electric Vehicles in Strategic Management or Value Creation Initiatives with a Focus on Sustainability?

      • Sónia Gouveia, Daniel H. de la Iglesia, José Luís Abrantes, Alfonso J. López Rivero, Elisabete Silva, Eduardo Gouveia et al.
      Pages 148-158

    5. A Framework for Monitoring Pollution Levels in Smart Cities

      • Diogo Silva, João Pinto, José Varanda, João Henriques, Filipe Caldeira, Cristina Wanzeller
      Pages 159-170

    6. Value Creation and Strategic Management in the Era of Digital Transformation: A Bibliometric Analysis and Systematic Literature Review

      • Sónia Gouveia, Daniel H. de la Iglesia, José Luís Abrantes, Alfonso J. López Rivero
      Pages 171-179

    7. A Framework for Wood Moisture Control in Industrial Environment

      • Ricardo Cláudio, Francisco Soares, Jorge Leitão, João Henriques, Filipe Caldeira, Cristina Wanzeller
      Pages 180-193

    8. EgiCool - IoT Solution for Datacenter Environmental Control and Energy Consumption Monitoring

      • Vicente Gonçalves, José Daniel, Celestino Gonçalves, Filipe Caetano, Clara Silveira
      Pages 194-206
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Other volumes

  1. New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence

Editors and Affiliations

  • Faculty of Science, University of Salamanca, Salamanca, Spain

    Daniel H. de la Iglesia, Juan F. de Paz Santana

  • Faculty of Informatics, Pontifical University of Salamanca, Salamanca, Spain

    Alfonso J. López Rivero

Bibliographic Information

  • Book Title: New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence

  • Book Subtitle: The DITTET 2024 Collection

  • Editors: Daniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. López Rivero

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-031-66635-3

  • 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

  • Softcover ISBN: 978-3-031-66634-6Published: 13 August 2024

  • eBook ISBN: 978-3-031-66635-3Published: 12 August 2024

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVII, 476

  • Number of Illustrations: 22 b/w illustrations, 144 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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