Publikationen, an denen er mitarbeitet José María Cecilia Canales (15)

2023

  1. Data-driven evaluation of machine learning models for climate control in operational smart greenhouses

    Journal of Ambient Intelligence and Smart Environments, Vol. 15, Núm. 1, pp. 3-17

  2. Estimation of Chl-a in highly anthropized environments using machine learning and remote sensing

    2023 19th International Conference on Intelligent Environments, IE 2023 - Proceedings

  3. Evaluation of low-power devices for smart greenhouse development

    Journal of Supercomputing, Vol. 79, Núm. 9, pp. 10277-10299

  4. Evaluation of synthetic data generation for intelligent climate control in greenhouses

    Applied Intelligence, Vol. 53, Núm. 21, pp. 24765-24781

  5. SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments

    Internet of Things (Netherlands), Vol. 22

2022

  1. Evaporation Forecasting through Interpretable Data Analysis Techniques

    Electronics (Switzerland), Vol. 11, Núm. 4

2021

  1. A high-performance IoT solution to reduce frost damages in stone fruits

    Concurrency and Computation: Practice and Experience

  2. Covidsensing: Social sensing strategy for the management of the covid-19 crisis

    Electronics (Switzerland), Vol. 10, Núm. 24

  3. Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data

    Scientific Reports, Vol. 11, Núm. 1

  4. Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning

    Journal of Supercomputing, Vol. 77, Núm. 1, pp. 818-840

2020

  1. A decision support system for water optimization in anti-frost techniques by sprinklers

    Sensors (Switzerland), Vol. 20, Núm. 24, pp. 1-15

  2. A deep learning model to predict lower temperatures in agriculture

    Journal of Ambient Intelligence and Smart Environments, Vol. 12, Núm. 1, pp. 21-34

  3. Sound levels forecasting in an acoustic sensor network using a deep neural network

    Sensors (Switzerland), Vol. 20, Núm. 3

2018

  1. Air-pollution prediction in smart cities through machine learning methods: A case of study in Murcia, Spain

    Journal of Universal Computer Science, Vol. 24, Núm. 3, pp. 261-276

  2. Deep learning approach for classifying papanicolau cervical smears

    ACM International Conference Proceeding Series