J
Jaime Lloret
Researcher at Polytechnic University of Valencia
Publications - 675
Citations - 14996
Jaime Lloret is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 49, co-authored 610 publications receiving 10820 citations. Previous affiliations of Jaime Lloret include University of Alcalá & University of Valencia.
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Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
TL;DR: A new technique for NTC based on a combination of deep learning models that can be used for IoT traffic provides better detection results than alternative algorithms without requiring any feature engineering, which is usual when applying other models.
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A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
Luis Hernandez,Carlos Baladrón,Javier M. Aguiar,Belen Carro,Antonio Sánchez-Esguevillas,Jaime Lloret,Joaquim Massana +6 more
TL;DR: This review discusses the most relevant studies on electric demand prediction over the last 40 years, and presents the different models used as well as the future trends, and analyzes the latest studies on demand forecasting in the future environments that emerge from the usage of smart grids.
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Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions
TL;DR: This article proposes a multi-layered context-aware architecture and introduces two crucial service components, vehicular social networks and context- aware vehicular security, and proposes an application scenario regarding the context- Aware dynamic parking services by illuminating the cloud-assisted architecture and logic flow.
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A wireless sensor network deployment for rural and forest fire detection and verification.
TL;DR: The design, research and development of a wireless multisensor network which mixes sensors with IP cameras in a wireless network in order to detect and verify fire in rural and forest areas of Spain and the test performance given by a test bench formed by four wireless IP cameras is shown and the energy consumed when they are transmitting.
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IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture
TL;DR: A survey aimed at summarizing the current state of the art regarding smart irrigation systems, which determines the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions.