Part I. Main track
eHealth4MS: Problem Detection from Wearable Activity Trackers to Support the Care of Multiple Sclerosis
Society of "Citizen Science through Dancing"
The ACTIVAGE Marketplace: Hybrid Logic- and Text-Based Discovery of Active and Healthy Ageing IoT Applications
Explainable Intelligent Environments
Overcoming Challenges in Healthcare Interoperability Regulatory Compliance
Tools for Immersive Music in Binaural Format
A Computer Vision-Based System for a Tangram Game in a Social Robot
FullExpression Using Transfer Learning in the Classification of Human Emotions
Deployment of an IoT Platform for Activity Recognition at the UAL's Smart Home
Algorithms for Context-Awareness Route Generation
Detection Violent Behaviors: A Survey
System for Recommending Financial Products Adapted to the User's Profile
A COTS (UHF) RFID Floor for Device-Free Ambient Assisted Living Monitoring
Using Jason Framework to Develop a Multi-agent System to Manage Users and Spaces in an Adaptive Environment System
Towards the Development of IoT Protocols
Livestock Welfare by Means of an Edge Computing and IoT Platform
Sleep Performance and Physical Activity Estimation from Multisensor Time Series Sleep Environment Data
Face Detection and Recognition, Face Emotion Recognition Through NVIDIA Jetson Nano
Video Analysis System Using Deep Learning Algorithms
Part II. Workshop on New Applications for Public Transport (NAPT)
Towards Learning Travelers' Preferences in a Context-Aware Fashion
Reputation Algorithm for Users and Activities in a Public Transport Oriented Application
Extraction of Travellers' Preferences Using Their Tweets
Part III. Doctoral Consortium (DC)
Adaptivity as a Service (AaaS): Personalised Assistive Robotics for Ambient Assisted Living
Time in Multi-agent Systems
Public Tendering Processes Based on Blockchain Technologies
Low-Power Distributed AI and IoT for Measuring Lamb's Milk Ingestion and Predicting Meat Yield and Malnutrition Diseases
Clifford Algebras: A Proposal Towards Improved Image Recognition in Machine Learning
New Approach to Recommend Banking Products Through a Hybrid Recommender System
An IoT-Based ROUV for Environmental Monitoring
Deep Symbolic Learning and Semantics for an Explainable and Ethical Artificial Intelligence
Development of a Multiagent Simulator to Genetic Regulatory Networks
Manage Comfort Preferences Conflicts Using a Multi-agent System in an Adaptive Environment System
AI-Based Proposal for Epileptic Seizure Prediction in Real-Time
Digital Twin Framework for Energy Efficient Greenhouse Industry 4.0
"Cooperative Deeptech Platform" for Innovation-Hub Members of DISRUPTIVE
Engineering Multiagent Organizations Through Accountability
Circadian Rhythm and Pain: Mathematical Model Based on Multiagent Simulation.