Publikationen in Zusammenarbeit mit Forschern von Universidad Central del Ecuador (79)

2024

  1. Blockchain-Based Framework for Traffic Event Verification in Smart Vehicles

    IEEE Access, Vol. 12, pp. 9251-9266

  2. Examining Telework Adoption Through Cybersecurity and Industry 5.0

    Communications in Computer and Information Science

  3. Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning

    Cybernetics and Systems, Vol. 55, Núm. 6, pp. 1332-1356

  4. Solving the Mobility Problem Through Telework

    Springer Proceedings in Complexity

  5. The Evolution of Education in Amazonian Indigenous Communities: A Post-Covid Perspective

    Springer Proceedings in Complexity

  6. The Importance of Teleworking and Its Implications for Industry 5.0: A Case Study

    IEEE Access, Vol. 12, pp. 80529-80548

2023

  1. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

  2. Contextual word embeddings for tabular data search and integration

    Neural Computing and Applications, Vol. 35, Núm. 13, pp. 9319-9333

  3. Improving Facial Expression Recognition Through Data Preparation and Merging

    IEEE Access, Vol. 11, pp. 71339-71360

  4. Improving landslide prediction by computer vision and deep learning

    Integrated Computer-Aided Engineering, Vol. 31, Núm. 1, pp. 77-94

  5. Resilience Assessment in Times of Covid-19 in Ecuador

    Springer Proceedings in Complexity

  6. The Impact of Content Deletion on Tabular Data Similarity Using Contextual Word Embeddings

    Lecture Notes in Networks and Systems

  7. The Role of Blockchain for Introducing Resilience in Insurance Domain: A Systematic Review

    Springer Proceedings in Complexity

2022

  1. Architecture for Automatic Recognition of Group Activities Using Local Motions and Context

    IEEE Access, Vol. 10, pp. 79874-79889

  2. Defining High Risk Landslide Areas Using Machine Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Defining High Risk Landslide Areas Using Machine Learning

    Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part II (Springer Suiza), pp. 183-192

  4. Landslide Prediction with Machine Learning and Time Windows

    Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part II (Springer Suiza), pp. 193-202

  5. Landslide Prediction with Machine Learning and Time Windows

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Resilience and Academic Dropout in Ecuadorian University Students during COVID-19

    Sustainability (Switzerland), Vol. 14, Núm. 13

2021

  1. A Deep Learning Architecture for Recognizing Abnormal Activities of Groups Using Context and Motion Information

    Advances in Intelligent Systems and Computing