Publicacións (96) Publicacións de Ricardo Serafin Alonso Rincon

2024

  1. Exploración de la aplicación práctica de la inteligencia artificial generativa en la IoT

    XVI Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (TAEE 2024). Libro de actas: XVI Conferência em Tecnologia, Aprendizagem e Ensino da Eletrónica (TAEE 2024). Livro de atas.XVI International Conference of Technology, Learning and Teaching of Electronics (TAEE 2024). Proceedings book

  2. Literature Review of Deep-Learning-Based Detection of Violence in Video

    Sensors, Vol. 24, Núm. 12

  3. Prediction of footwear demand using Prophet and SARIMA

    Expert Systems with Applications, Vol. 255

  4. Trustworthy Artificial Intelligence -based federated architecture for symptomatic disease detection

    Neurocomputing, Vol. 579

2023

  1. AI-Based Platform for Smart Cities Urban Infrastructure Monitorization

    Lecture Notes in Networks and Systems

  2. Automating the Implementation of Unsupervised Machine Learning Processes in Smart Cities Scenarios

    Lecture Notes in Networks and Systems

  3. Editor’s Note

    IJIMAI, Vol. 8, Núm. 3, pp. 4-4

  4. Federated Learning of Explainable Artificial Intelligence (FED-XAI): A Review

    Lecture Notes in Networks and Systems

  5. Leveraging Smart City Services for Citizen Benefits Through a Unified Management Platform

    Lecture Notes in Networks and Systems

  6. Pollutant Time Series Analysis for Improving Air-Quality in Smart Cities

    IJIMAI, Vol. 8, Núm. 3, pp. 98-112

  7. Preface

    Lecture Notes in Networks and Systems

  8. Review of Physical Aggression Detection Techniques in Video Using Explainable Artificial Intelligence

    Lecture Notes in Networks and Systems

  9. Time Series Forecasting for Improving Quality of Life and Ecosystem Services in Smart Cities

    Lecture Notes in Networks and Systems

2022

  1. An Edge-IoT Architecture and Regression Techniques Applied to an Agriculture Industry Scenario

    Lecture Notes in Networks and Systems

  2. Indoor Access Control System Through Symptomatic Examination Using IoT Technology, Fog Computing and Cloud Computing

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

  3. Machine Lerning for the Analysis of Vegetation in the Heritage City of Salamanca

    Communications in Computer and Information Science

2021

  1. A Review on Deep Reinforcement Learning for the management of SDN and NFV in Edge-IoT

    2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

  2. A review of k-NN algorithm based on classical and quantum machine learning

    Advances in Intelligent Systems and Computing

  3. Artificial intelligence for optimization and indoor real-time locating systems. A case study in winery logistics

    Proceedings of the III Workshop on disruptive information and communication technologies for innovation and digital transformation

  4. Deep q-learning and preference based multi-agent system for sustainable agricultural market

    Sensors, Vol. 21, Núm. 16