JOSÉ JAVIER BERROCAL OLMEDA

Literals

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  • http://orcid.org/0000000210072134
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  • c5ef6a0076a7a40f1ff2b4b5b71dbb9d
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  • A0504-PROFESOR TITULAR DE UNIVERSIDAD
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  • TIEMPO COMPLETO
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  • 3569880
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  • JOSÉ JAVIER
• ou:indiceHscopus
  • 16
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  • BERROCAL OLMEDA
• foaf:name
  • JOSÉ JAVIER BERROCAL OLMEDA
• vivo:orcidId
  • 0000000210072134
• vivo:scopusId
  • 32667521200

Typed Literals

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Relations

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  • ESTRUCTURA DE DATOS Y DE LA INFORMACIÓN
  • GESTIÓN DE PROYECTOS SOFTWARE
  • INGENIERÍA DE SERVICIOS TIC
  • GESTIÓN DE PROYECTOS SOFTWARE
  • GESTIÓN DE PROYECTOS SOFTWARE
  • GESTIÓN DE PROYECTOS SOFTWARE
  • GESTIÓN DE PROYECTOS SOFTWARE
  • GESTIÓN DE PROYECTOS SOFTWARE
  • GESTIÓN INFORMATIZADA DE DATOS DEPORTIVOS
  • GESTIÓN INFORMATIZADA DE DATOS DEPORTIVOS
  • INGENIERÍA DE SERVICIOS TIC
  • INGENIERÍA DE SERVICIOS TIC
  • INGENIERÍA DE SERVICIOS TIC
  • INGENIERÍA DE SERVICIOS TIC
  • INGENIERÍA DE SERVICIOS TIC
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• ou:tienePublicacion
  • A Pre-Filtering Approach for Incorporating Contextual Information into Deep Learning Based Recommender Systems
  • A Privacy-Aware Architecture to Share Device-to-Device Contextual Information
  • A SLR on Customer Dropout Prediction
  • A Self-sustainable DTN Solution for Isolation Monitoring in Remote Areas
  • A Self-sustainable DTN Solution for Isolation Monitoring in Remote Areas
  • A model-driven approach for documenting business and requirements interdependencies for architectural decision making
  • A novel routing scheme for creating opportunistic context-virtual networks in IoT scenarios
  • A roadmap for quantum software engineering: Applying the lessons learned from the classics
  • A self-sustainable opportunistic solution for emergency detection in ageing people living in rural areas
  • A survey on fog computing for the Internet of Things
  • Adaptation of Applications to Compare Development Frameworks in Deep Learning for Decentralized Android Applications
  • Addressing the different levels of collaboration between devices in IoT environments
  • Allowing iot devices collaboration to help elderly in their daily lives
  • An Analysis about Federated Learning in Low-Powerful Devices
  • An opportunistic routing solution to monitor isolated elderly people in rural areas
  • Anonymized Distributed PHR Using Blockchain for Openness and Non-Repudiation Guarantee
  • Anonymized distributed phr using blockchain for openness and non-repudiation guarantee
  • Architecting Infrastructures for Cloud-Enabled Mobile Devices
  • Architectural variability management in multi-layer web applications through feature models
  • Architectures server-centric vs mobile-centric for developing WoT applications
  • Artifact Abstract: Deployment of APIs on Android Mobile Devices and Microcontrollers
  • Artifact: Virtual Environment for Evaluating the QoS of Distributed Mobile Applications
  • Automating the Interactions among IoT Devices using Neural Networks
  • Blockchains' federation for enabling actor-centered data integration
  • Blockchains' federation: Developing Personal Health Trajectory-centered health systems
  • Context-Aware Service Delegation for Opportunistic Pervasive Computing
  • Context-Dependent Services Selection in Smart Environments
  • Context-aware mobile app for the multidimensional assessment of the elderly
  • Context-aware privacy-preserving access control for mobile computing
  • Contigo: Monitoring People’s Activity App for Anomalies Detection
  • Continuous QoS-aware adaptation of Cloud-IoT application placements
  • Coordinación de Dispositivos IoT mediante Web Semántica y Ontologías en Situational-Context
  • Coordination of IoT devices through Semantic Web and Ontologies in situational context
  • Deep Reinforcement Learning Based Method for the Rule Placement Problem in Software-Defined Networks
  • Deploying Digital Twins over the Cloud-to-Thing Continuum
  • Deploying Next Generation IoT Applications Through SDN-Enabled Fog Infrastructures
  • Deployment of APIs on Android Mobile Devices and Microcontrollers
  • Detecting and Monitoring Depression Symptoms According to People’s Behaviour Through Mobile Devices
  • Detecting and Monitoring Depression Symptoms According to People’s Behaviour Through Mobile Devices
  • Developing Distributed WoT Applications for the Cloud-to-thing Continuum
  • Dropout Prediction: A Systematic Literature Review
  • EFCC: A flexible Emulation Framework to evaluate network, computing and application deployments in the Cloud Continuum
  • Early Evaluation of Mobile Applications' Resource Consumption and Operating Costs
  • Early analysis of resource consumption patterns in mobile applications
  • Edge computing: A grounded theory study
  • Elastic Data Analytics for the Cloud-to-Things Continuum
  • Emotion identification with smartphones to improve the elder quality of life using facial recognition techniques
  • Enabling the interconnection of smart devices through semantic web techniques
  • 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
  • Enriched elderly virtual profiles by means of a multidimensional integrated assessment platform
  • Evaluating elders' bio-psycho-social health dimensions using their smartphones
  • Explainability With Observation Sharing in Long Collaboration Chains of Automated Systems of Systems
  • Extending W3C Thing Description to Provide Support for Interactions of Things in Real-Time
  • Extensible environment for monitoring and detecting symptoms of depression
  • Facilitating the selection of architectural patterns by means of a marked requirements model
  • 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
  • FoodScan: A New mHealth App for Food Monitoring through the Analysis of Purchase Groceries Receipts (Preprint)
  • FoodScan: Food Monitoring App by Scanning the Groceries Receipts
  • From the Internet of Things to the Internet of People
  • How fog computing can support latency/ reliability-sensitive iot applications: An overview and a taxonomy of state-of-the-art solutions
  • Human Data Model: An Approach for IoT Applications Development for Elderly Healthcare
  • Human Data Model: An Approach for IoT Applications Development for Elderly Healthcare
  • Human microservices: A framework for turning humans into service providers
  • Hybrid Classical-Quantum Software Services Systems: Exploration of the Rough Edges
  • Hybrid Random Forest Survival Model to Predict Customer Membership Dropout
  • Identification and Visualization of a Patient’s Medical Record via Mobile Devices without an Internet Connection
  • Improving Resource Consumption in Context- Aware Mobile Applications Through Alternative Architectural Styles
  • 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
  • Instituto Internacional de Investigación e Innovación del Envejecimiento
  • Interconnecting IoT Devices to Improve the QoL of Elderly People
  • Interconnecting IoT devices to improve the qol of elderly people
  • Interconnecting IoT devices to improve the QoL of elderly people
  • International Institute for Research and Innovation on Aging
  • IoT System for Occupational Risks Prevention at a WWTP
  • JET: A proof of concept enabling mobile devices as personal profile providers
  • 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
  • Layered Interoperability for Collaborative IoT Applications
  • Lean management of software processes and factories using business process modeling techniques
  • Liquid context: Migrating the users’ context across devices
  • Logistic Regression-based Solution to Predict the Transport Assistant Placement in SDN 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
  • Minimizing Deployment Cost of Hybrid Applications
  • Mist and edge storage: Fair storage distribution in sensor networks
  • Mobile crowd sensing as an enabler for people as a service mobile computing
  • Modeling business and requirements relationships for architectural pattern selection
  • Monitoring Food Intake in an Aging Population: A Survey on Technological Solutions
  • 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
  • Off-Line Voice Assistant for Silver Tourism
  • On the tradeoff between load balancing and energy-efficiency in hybrid IP/SDN networks
  • Open Issues Automating Multi-Environment IoT Systems
  • Optimal Deployment of Fog Nodes, Microservices and SDN Controllers in Time-Sensitive IoT Scenarios
  • 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
  • People as a Service and search-based software engineering
  • People as a service y la ingeniería del software guiada por búsqueda
  • People as a service: A mobile-centric model for providing collective sociological profiles
  • Perses: A framework for the continuous evaluation of the QoS of distributed mobile applications
  • Predicting Response Time in SDN-Fog Environments for IIoT Applications
  • Privacy-aware and context-sensitive access control for opportunistic data sharing
  • Providing support to IoT devices deployed in disconnected rural environment
  • 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
  • Quantum Software as a Service Through a Quantum API Gateway
  • Quantum service-oriented computing: current landscape and challenges
  • Quantum service-oriented architectures: From hybrid classical approaches to future stand-alone solutions
  • Recommendation and Distillation of IoT Multi-Environments
  • Reduction of latency of microservice based loT applications in rural areas with lack of connectivity using UAV-based networks
  • Rich contextual information for monitoring the elderly in an early stage of cognitive impairment
  • RoQME: Dealing with non-functional properties through global robot QoS metrics
  • SMOTE: A Tool to Proactively Manage Situations in WoT Environments
  • SOLID and PeaaS: Your Phone as a Store for Personal Data
  • SOWCompact: A federated process mining method for social workflows
  • Seamless Interactions on the Internet of Things. A Spotify-Based Proof of Concept
  • Service Oriented Computing for Humans as Service Providers
  • 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
  • Situational-context for virtually modeling the elderly
  • Situational-context: A unified view of everything involved at a particular situation
  • Smart Nursing Homes: Self-Management Architecture Based on IoT and Machine Learning for Rural Areas
  • Smartphones as Personal Profile Providers: Enhancing Mobile App Architectures
  • Social Events Analyzer (SEA): A Toolkit for Mining Social Workflows by Means of Federated Process Mining
  • Special time series prediction: Creep of concrete
  • Systematic literature review of food-intake monitoring in an aging population
  • Technological variability by means of a framework metamodel
  • The Fall and Rise of NimBees
  • The Internet of Bodies Needs a Human Data Model
  • The Service Node Placement Problem in Software-Defined Fog Networks
  • Toward privacy-aware healthcare data fusion systems
  • Towards Proactive Context-Aware IoT Environments by Means of Federated Learning
  • Towards a Runtime Devices Adaptation in a Multi-Device Environment Based on People's Needs
  • Towards distributed and context-aware human-centric cyber-physical systems
  • Towards dynamic and heterogeneous social IoT environments
  • Towards multi-device context aware systems for elders well-being
  • Trials and tribulations of developing hybrid quantum-classical microservices systems
  • Using Bluetooth Low Energy Advertisements for the Detection of People Temporal Proximity Patterns
  • Using Federated Learning to Achieve Proactive Context-Aware IoT Environments
  • Using beacons for creating comprehensive virtual profiles
  • Virtual Environment for Evaluating the QoS of Distributed Mobile Applications
  • Voice assistant for pharmacologic treatment reminder
  • Voice assistant to remind pharmacologic treatment in elders
  • lnterconnecting IoT Devices to Improve the QoL of Elderly People
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• ou:perteneceAGrupoInvestigacion
  • Quercus Software Engineering Group
• ou:adscritoACentro
  • Escuela Politécnica
• ou:adscritoADepartamento
  • INGENIERÍA SISTEMAS INFORMÁTICOS Y TELEMÁTICOS
• ou:imparteDocenciaEnArea
  • LENGUAJES Y SISTEMAS INFORMÁTICOS

Inverse Relations

• Has related: ou:autorTesis
  • Modelado De Las Relaciones Entre Elementos Del Negocio Y Entre Requisitos Para La Selección De Patrones Arquitecnónicos
• Has related: dcterms:creator
  • COVID Perses Showcase - Cloud Server
  • COVID Perses Showcase - Mobile App
  • Elastic Data Analytics for the Cloud-to-Things Continuum - PoC
• Has related: ou:directorTesis
  • Dado: Framework Para El Despliegue De Aplicaciones Iot Distribuidas En Entornos Edge-Fog-Cloud
  • Distribución De La Computación Y Evaluación De La Qos De Aplicaciones Iot En El Cloud-To-Thing Continuum
  • Predicción De Abandono De Clientes Mediante Modelos De Aprendizaje Automático De Supervivencia Híbridos
  • Situational-Context: Un Paradigma Para Automatizar El Comportamiento De Los Dispositivos De La Internet De Las Cosas A Las Preferencias De Las Personas
• Has related: ou:inventor
  • SISTEMA ELECTRÓNICO ASISTIDO POR VOZ PARA LA GESTIÓN FARMACOLÓGICA Y DE CITAS MÉDICAS

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