JAIME GALÁN JIMÉNEZ

Literals

• ou:categoriaPDI
  • A0504-PROFESOR TITULAR DE UNIVERSIDAD
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  • f66684ca1e280996030bd2827e6d4bbd
• ou:dedicacionPDI
  • TIEMPO COMPLETO
• ou:dialnetId
  • 3600187
• foaf:firstName
  • JAIME
• ou:indiceHscopus
  • 9
• foaf:lastName
  • GALÁN JIMÉNEZ
• foaf:name
  • JAIME GALÁN JIMÉNEZ
• vivo:scopusId
  • 35112903800

Typed Literals

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Relations

• teach:teacherOf
  • ARQUITECTURA DE REDES Y PROTOCOLOS
  • COMPLEMENTO FORMACIÓN: ARQUITECTURA DE REDES Y PROTOCOLOS
  • REDES DE COMUNICACIONES MÓVILES Y MULTIMEDIA
  • REDES MULTIMEDIA
  • ADMINISTRACIÓN DE REDES Y SERVICIOS
  • ARQUITECTURA DE REDES Y PROTOCOLOS
  • ARQUITECTURA DE REDES Y PROTOCOLOS
  • ARQUITECTURA DE REDES Y PROTOCOLOS
  • ARQUITECTURA DE REDES Y PROTOCOLOS
  • ARQUITECTURA DE REDES Y PROTOCOLOS
  • COMPLEMENTO FORMACIÓN: ARQUITECTURA DE REDES Y PROTOCOLOS
  • REDES DE COMUNICACIONES MÓVILES Y MULTIMEDIA
  • REDES DE ORDENADORES
  • REDES DE ORDENADORES
  • REDES DE ORDENADORES
  • REDES DE ORDENADORES
  • REDES DE ORDENADORES
  • TECNOLOGÍAS Y PROTOCOLOS DE COMUNICACIÓN
  • TECNOLOGÍAS Y PROTOCOLOS DE COMUNICACIÓN
  • TECNOLOGÍAS Y PROTOCOLOS DE COMUNICACIÓN
  • TECNOLOGÍAS Y PROTOCOLOS DE COMUNICACIÓN
  • TECNOLOGÍAS Y PROTOCOLOS DE COMUNICACIÓN
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• ou:tienePublicacion
  • A Machine Learning-Based Framework to Estimate the Lifetime of Network Line Cards
  • A Scalable and Error-Tolerant Solution for Traffic Matrix Assessment in Hybrid IP/SDN Networks
  • A Scalable and Offloading-Based Traffic Classification Solution in NFV/SDN Network Architectures
  • A Self-sustainable DTN Solution for Isolation Monitoring in Remote Areas
  • A Self-sustainable DTN Solution for Isolation Monitoring in Remote Areas
  • A novel routing scheme for creating opportunistic context-virtual networks in IoT scenarios
  • A self-sustainable opportunistic solution for emergency detection in ageing people living in rural areas
  • AI-assisted traffic matrix prediction using GA-enabled deep ensemble learning for hybrid SDN
  • An Analysis about Federated Learning in Low-Powerful Devices
  • An opportunistic routing solution to monitor isolated elderly people in rural areas
  • Análisis de la Motivación, la Satisfacción y el Esfuerzo en la Implantación de un Grado Bilingüe
  • Análisis de la motivación, la satisfacción y el esfuerzo en la Implantación de un grado bilingüe
  • Análisis del impacto de la configuración de un dispositivo 802.11g sobre su consumo energético
  • Application of mobile technologies and study of interferences in remote monitoring of patients with chronic diseases
  • Can Consumer Electronics Be Truly Open?
  • Characterization of Energy Consumption in a 802.11g Device
  • Communication in Isolated Rural Areas: a Comprehensive Review of the Alternatives to the Internet
  • Communication in Isolated Rural Areas: A Comprehensive Review of the Alternatives to the Internet
  • Deep Learning-Assisted Traffic Prediction in Hybrid SDN/OSPF Backbone Networks
  • Deep Reinforcement Learning Based Method for the Rule Placement Problem in Software-Defined Networks
  • Designing energy-efficient link aggregation groups
  • Digital Twin Manager: A Novel Framework to Handle Conflicting Network Applications
  • Discretización de la adaptación de rate para la mejora de la eficiencia energética en redescableadas
  • Distributed Sustainable IoT Architecture for Detecting Loneliness in Isolated Rural Areas
  • Dynamic in-network classification for service function chaining ready SDN networks
  • EFCC: A flexible Emulation Framework to evaluate network, computing and application deployments in the Cloud Continuum
  • ELEE: Energy levels-energy efficiency tradeoff in wired communication networks
  • Early detection of link failures through the modeling of the hardware deterioration process
  • Energy-efficient and solar powered mission planning of UAV swarms to reduce the coverage gap in rural areas: The 3D case
  • Energy-efficient deployment of IoT applications in remote rural areas using UAV networks
  • Experiences in remote monitoring of patients with chronic diseases using mobile technologies
  • Exploiting the control power of SDN during the transition from IP to SDN networks
  • Exploiting the use of mobile technologies for chronic patients home distance monitoring
  • Extensible environment for monitoring and detecting symptoms of depression
  • Flow-based Service Time optimization in software-defined networks using Deep Reinforcement Learning
  • Fog Node Placement in IoT Scenarios with Stringent QoS Requirements: Experimental Evaluation
  • Green Wired Networks
  • Identification and Visualization of a Patient’s Medical Record via Mobile Devices without an Internet Connection
  • Improving Delivery Probability in Mobile Opportunistic Networks with Social-Based Routing
  • Improving dynamic service function chaining classification in NFV/SDN networks through the offloading concept
  • Improving the Energy Efficiency of Software-Defined Networks through the Prediction of Network Configurations
  • Improving the Global Service Time in SDN Through the Use of the Active Traffic First Approach: A Heuristic Solution
  • Invirtiendo las Clases del Área de Ingeniería Telemática… poco a poco
  • Joint Optimization of Response Time and Deployment Cost in Next-Gen IoT Applications
  • Joint energy efficiency and load balancing optimization in hybrid IP/SDN networks
  • Knowledge Sharing in Proactive WoT Multi-environment Models
  • Latency-Optimal Network Microservice Architecture Deployment in SDN
  • Legacy IP-upgraded SDN nodes tradeoff in energy-efficient hybrid IP/SDN networks
  • Logistic Regression-based Solution to Predict the Transport Assistant Placement in SDN networks
  • Lost in translation? Reflexiones sobre la puesta en marcha de programas bilingües en grados de informática
  • Measuring the impact of ICNIRP vs. stricter-than-ICNIRP exposure limits on QoS and EMF from cellular networks
  • Meeting Stringent QoS Requirements in IIoT-based Scenarios
  • Mejorando la calidad de servicio en SDN mediante el ajuste dinámico del idle timeout con Deep Reinforcement Learning
  • Minimization of energy consumption in IP/SDN hybrid networks using genetic algorithms
  • Multi-Objective Genetic Algorithm for the Joint Optimization of Energy Efficiency and Rule Reduction in Software-Defined Networks
  • Multi-Objective Optimal Deployment of SDN-Fog Infrastructures and IoT Applications
  • Not in My Neighborhood: A User Equipment Perspective of Cellular Planning under Restrictive EMF Limits
  • OPPNets and Rural Areas: An Opportunistic Solution for Remote Communications
  • OPPNets and rural areas: an opportunistic solution for remote communications
  • Off-Line Voice Assistant for Silver Tourism
  • On the tradeoff between load balancing and energy-efficiency in hybrid IP/SDN networks
  • Optimal Deployment of Fog Nodes, Microservices and SDN Controllers in Time-Sensitive IoT Scenarios
  • Optimal energy management of uav-based cellular networks powered by solar panels and batteries: Formulation and solutions
  • Optimizing IoT Microservices Placement for latency reduction in UAV-Assisted Wireless Networks
  • Optimizing the Response Time in SDN-Fog Environments for Time-Strict IoT Applications
  • Optimizing the Response Time in SDN-Fog Environments for Time-Strict IoT Applications
  • Performance evaluation and analytical study of the effects among wireless technologies
  • Predicting Response Time in SDN-Fog Environments for IIoT Applications
  • Pro-active energy management for wide area networks
  • Protótipo de uma Rede de Sensores Sem Fios para Implantação Robótica de Percurso : A Prototype of a Wireless Sensor Network for Robotic Path Construction
  • Pushed SOLID: Deploying solid in smartphones
  • QoS-Aware Fog Node Placement for Intensive IoT Applications in SDN-Fog Scenarios
  • Quality of Service-Adaptive Industrial Internet of Things leveraging Edge Computing and Deep Reinforcement Learning The Deep QoS-Adaptive Learning Environment (DeQALE) Architecture
  • Recommendation and Distillation of IoT Multi-Environments
  • Reducing the reconfiguration cost of flow tables in energy-efficient Software-Defined Networks
  • Reduction of latency of microservice based loT applications in rural areas with lack of connectivity using UAV-based networks
  • Routing characterization in volatile connectivity environments
  • Sharing Knowledge to Promote Proactive Multi-environments in the WoT
  • Situational and Adaptive Context-Aware Routing for Opportunistic IoT Networks
  • Situational context in the programmable world
  • The Service Node Placement Problem in Software-Defined Fog Networks
  • Towards Proactive Context-Aware IoT Environments by Means of Federated Learning
  • Using Bluetooth Low Energy Advertisements for the Detection of People Temporal Proximity Patterns
  • Using Federated Learning to Achieve Proactive Context-Aware IoT Environments
  • Using bio-inspired algorithms for energy levels assessment in energy efficient wired communication networks
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• ou:perteneceAGrupoInvestigacion
  • Quercus Software Engineering Group
• ou:adscritoACentro
  • Escuela Politécnica
• ou:adscritoADepartamento
  • INGENIERÍA SISTEMAS INFORMÁTICOS Y TELEMÁTICOS
• ou:imparteDocenciaEnArea
  • INGENIERÍA TELEMÁTICA

Inverse Relations

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  • Diseño Energéticamente Eficiente De Tarjetas De Línea Y Grupos De Agregación De Enlaces En Redes De Comunicaciones Cableadas
• Has related: ou:directorTesis
  • Arquitectura Sostenible De Comunicación Oportunista Para El Despliegue De Aplicaciones Edge-Fog-Cloud En Zonas Rurales Aisladas
• Has related: ou:secretarioDepartamento
  • INGENIERÍA SISTEMAS INFORMÁTICOS Y TELEMÁTICOS

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