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Universidad de Sevilla – Spain

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Cyber-Physical System for Environmental Monitoring Based on Deep Learning

Sensors | Cyber-Physical System for Environmental Monitoring Based on Deep Learning https://www.mdpi.com/1424-8220/21/11/3655/pdf?version=1621922485

Íñigo Luis Monedero Goicoechea, Bulletin board, Julio Barbancho Concejero, Press, Publications in journals, Scientific Production, Team Members
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May 2021
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    • Application of Knowledge Based Systems and Decision Support Systems
      • Advanced teaching
      • Automatic design of networks
      • Automatic detection, classification and location of breakdowns
      • Image processing
      • Information retrieval in web environments
    • Cyberphysical Systems
      • Data aggregation & Fog Computing
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      • Heterogeneous Data Source Integration
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      • Information retrieval in web environments based on AI
      • Information Security and Cybersecurity
      • Intelligent systems for help desk support
      • Intelligent systems for machine vision and image feature correspondence
      • Intelligent virtual assistants: e-learning environments, search on search unstructured environments
      • Ontology development for intelligent systems
      • Participatory Health Informatics and Personalization: Digital health, Data Analytics and data visualization, Tailoring and Behavioral Change
      • Pattern Recognition
    • Multi-agent systems and intelligent agents
      • Automatic monitoring in industrial environments
      • Interaction, learning and dissemination of knowledge in multiagent systems
      • Multi-agent systems applied to intelligent environments
      • Multi-agent systems applied to the improvement of QoS and security in data networks
      • Multiagent systems on embedded systems
      • Teaching multi-agent systems
    • Smart Grid and Smart Cities
      • Advanced simulation
      • Automatic design and operational support of communication networks and water distribution networks
      • Design of Energy and demand response management systems (EMS and DRMS)
      • Detection, classification and location of faults in power lines
      • Electric Vehicle and Vehicle Fleets management
      • Energy Efficiency
      • Monitoring systems and KPIs
      • Non-technical losses detection and classification in utilities (power, water, and gas)
      • Power quality
      • Smart Agro Hyperspectral image applications
      • Smart Waste
      • Smart-metering and remote management equipment (AMR, AMI, MDM)
      • Standard Interoperability
      • Use case definition
    • Smart Grids
      • Advanced simulation
      • Communications on remote management equipment
      • Detection, classification and location of faults in power lines
      • Monitoring indicators and KPIs
      • Standards Interoperability
      • Wave quality
    • Wireless sensor networks with distributed intelligence and RFID
      • Data fusion
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  • Team Members
    • Íñigo Luis Monedero Goicoechea
    • Alejandro Carrasco Muñoz
    • Antonio Afanador Cordero
    • Antonio García Delgado
    • Antonio López Ojeda
    • Antonio Parejo Matos
    • Carlos León de Mora
    • David Oviedo Olmedo
    • Diego Francisco Larios Marín
    • Enrique Personal Vázquez
    • Francisco Javier Molina Cantero
    • Francisco Pérez García
    • Francisco Sivianes Castillo
    • Javier Antonio Guerra Coronado
    • Javier María Mora Merchán
    • Joaquín López Lérida
    • Joaquín Luque Rodríguez
    • Jorge Ropero Rodríguez
    • José Francisco de Asís Barros Pérez
    • José Ignacio Escudero Fombuena
    • José Manuel Elena Ortega
    • Juan Ignacio Guerrero Alonso
    • Julio Barbancho Concejero
    • Manuel García Gordillo
    • Manuel Peña Muñoz
    • María del Carmen Romero Ternero
    • María Dolores Hernández Velázquez
    • María Gloria Miró Amarante
    • Pedro Fortet Roura
    • Robert Denda
    • Samuel Domínguez Cid
    • Sebastián García Caro
    • Sergio Díaz Ruíz
    • Sergio Martín Guillén
    • Virginia Gonzalez Gasull

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