Publicaciones (103) Publicaciones de Miguel Angel Zamora Izquierdo

2024

  1. Water consumption time series forecasting in urban centers using deep neural networks

    Applied Water Science, Vol. 14, Núm. 2

2023

  1. Fundamentos Físicos de la Informática: Grado en Ingeniería Informática

    Servicio de Publicaciones de la Universidad de Murcia

  2. MEC-based architecture for interoperable and trustworthy internet of moving things

    Digital Communications and Networks, Vol. 9, Núm. 1, pp. 270-279

2022

  1. Smart Operation of Climatic Systems in a Greenhouse

    Agriculture (Switzerland), Vol. 12, Núm. 10

2020

  1. A comparison of different models of glycemia dynamics for improved type 1 diabetes mellitus management with advanced intelligent analysis in an internet of things context

    Applied Sciences (Switzerland), Vol. 10, Núm. 12

  2. Conceptualisation of an IoT framework for multi-person interaction with conditioning systems

    Energies, Vol. 13, Núm. 12

  3. Integrating LPWAN Technologies in the 5G Ecosystem: A Survey on Security Challenges and Solutions

    IEEE Access, Vol. 8, pp. 216437-216460

  4. IoT-based data management for Smart Agriculture

    2020 2nd International Conference on Embedded and Distributed Systems, EDiS 2020

  5. Nomograms for de-complexing the dimensioning of off-grid PV systems

    Renewable Energy, Vol. 161, pp. 162-172

2019

  1. Biosensores integrados en un entorno de internet de las cosas: una gestión inteligente de la diabetes mellitus tipo 1

    IV Jornadas Doctorales Escuela Internacional de Doctorado de la Universidad de Murcia (Eidum)

  2. Feature selection for blood glucose level prediction in type 1 diabetes mellitus by using the sequential input selection algorithm (SISAL)

    Symmetry, Vol. 11, Núm. 9

  3. On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients

    Sensors (Switzerland), Vol. 19, Núm. 20

  4. Smart farming IoT platform based on edge and cloud computing

    Biosystems Engineering, Vol. 177, pp. 4-17

  5. Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques

    Sensors (Switzerland), Vol. 19, Núm. 20

2018

  1. Commissioning of the controlled and automatized testing facility for human behavior and control (CASITA)

    Sensors (Switzerland), Vol. 18, Núm. 9

  2. Towards an ICT-based platform for type 1 diabetes mellitus management

    Applied Sciences (Switzerland), Vol. 8, Núm. 4

  3. Variables to be monitored via biomedical sensors for complete type 1 diabetes mellitus management: An extension of the “on-board” concept

    Journal of Diabetes Research, Vol. 2018

2017

  1. Applicability of Big Data Techniques to Smart Cities Deployments

    IEEE Transactions on Industrial Informatics, Vol. 13, Núm. 2, pp. 800-809

  2. On predicting glycaemia in type 1 diabetes mellitus patients by using support vector machines

    ACM International Conference Proceeding Series

  3. Towards a new diabetes mellitus management by means of novel biosensors and information and communication technologies

    ACM International Conference Proceeding Series