• Understanding the Influence of Rendering Parameters in Synthetic Datasets for Neural Semantic Segmentation Tasks 

      Silva, Manuel; Mures, Omar A.; Seoane, Antonio; Iglesias-Guitian, Jose A. (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Deep neural networks are well known for demanding large amounts of training data, motivating the appearance of multiple synthetic datasets covering multiple domains. However, synthetic datasets have not yet ...
    • Use of Machine Learning Algorithms for Network Traffic Classification 

      Nieto Antelo, Adrián; Fernández, Diego; Nóvoa, Francisco (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] In recent years, the complexity of threats utilizing the network as an attack vector has significantly increased. Traditional attack prevention and detection systems (IPS/IDS) based on signatures do not provide ...
    • Solution for Capturing Data from Wearable Devices 

      Pardo Otero, Eva; Fernández-Garrido, Iago; Fernández-Noriega-Balseiro, Santiago; Martínez Pérez, María; Nieto-Riveiro, Laura (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Thanks to the rise of wearable devices, people have more direct access to a variety of health data, such as physical activity, sleep and heart rate. For the research field, these devices represent a powerful ...
    • Improving Authentication in the Amazon Alexa Virtual Assistant by Using a Geofence 

      Fernández-García, Jorge; Rivera-Dourado, Martiño; Pérez-Jove, Rubén; Munteanu, Cristian-Robert; Vázquez-Naya, José (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Amazon Alexa processes voice commands as input to help users perform tasks. For protecting this commands, Amazon Alexa implements some security measures. These security measures, such as voice recognition and ...
    • Introducing a Human Activity Recognition Dataset Gathered on Real-Life Conditions 

      García-González, Daniel; Fernández-Blanco, Enrique; Rivero, Daniel; Rodríguez Luaces, Miguel (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Human activity recognition (HAR) has garnered significant scientific interest in recent years. The widespread use of smartphones enabled convenient and cost-effective data collection, eliminating the need for ...
    • GUANIN: GUi-driven Analyzer for NanoString Interactive Normalization 

      Montoto Louzao, Julián; Camino-Mera, Alba; Martín, María J.; Salas, Antonio (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Most tools for NanoString data normalization, aside from the default NanoString nCounter software, are R packages that focus on technical normalization but lack configurable parameters. However, content ...
    • Extended Reality in the Operating Room: Robot-Assisted Orthopedics Surgery with Live and Interactive Streaming for Medical Students 

      Magalhães, Renato; Veloso, Rita; Gomes, Paulo Veloso; Marques, António; Pereira-Loureiro, Javier (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Traditionally, medical education comprises both theoretical learning in classrooms and clinical training in hospitals where students can gain clinical experience. This is mostly done on face-to-face teaching ...
    • The Use of Artificial Intelligence in Interactive Virtual Reality Adaptive Environments with Real-Time Biofeedback Applied to Phobias Psychotherapy 

      Gomes, Paulo Veloso; Sá, Vítor J.; Donga, João; Marques, António; Gomes, Bárbara; Almeida, Raquel Simoes de; Pereira-Loureiro, Javier (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Exposure therapy is a type of psychotherapy where the patient is gradually exposed to a fear situation. Patients may present different degrees of phobia, and the degree of phobia of each patient changes ...
    • An Intelligent IoT Wearable for Monitoring and Preventing Asthma Attacks 

      García-Rivada, Pablo; Fraga-Lamas, Paula; Fernández-Caramés, Tiago M. (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Asthma is a chronic disease that affects the respiratory tract, inflicting coughing, wheezing and difficulty for breathing. In order to mitigate these problems, this paper introduces an IoT wearable that is ...
    • Reimagining Art: Virart, a Platform Using Virtual Reality for Creative Expression and Cultural Engagement 

      Donga, João; Azevedo, João; Carrapa, Marta; Gomes, Paulo Veloso (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Virart is an immersive experience that showcase the potential of Virtual Reality in recreating artistic works. By leveraging the capabilities of VR, users can explore and interact with digital recreations of ...
    • Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment 

      Bobes-Bascarán, José; Fernández-Leal, Ángel; Mosqueira-Rey, E.; Alonso Ríos, David; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The increasing adoption of artificial intelligent systems at sensitive domains where humans are particularly, such as medicine, has provided the context to deeply explore ways of making machine learning models ...
    • A System for the Management, Visualization and Annotation of Digital Collections of Handwritten Historical Documents 

      Correa-Guillén, Carlos Andrés; Gómez García, Ángel; López-Salas, Estefanía (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Today, there are huge amounts of handwritten documents accessible in digital collections. However, working with these documents for research purposes is limited due to the lack of appropriate technological ...
    • Integration of Captive Movement Systems in Virtual Environments for Rehabilitation in People with Disabilities 

      Lagos Rodríguez, Manuel; Canosa, Nereida; Pousada, Thais (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Generally, virtual reality (VR) systems used to improve physical and cognitive skills in people with disabilities generate a limited play area, allowing only a few meters of movement. This work proposes the ...
    • BDWatchdogFaaS: A Tool for Monitoring and Analysis of Functions-as-a-Service in Cloud Environment 

      Framil de Amorín, Manuel; Carpente, Mario; Fraga, David; Enes, Jonatan; Expósito, Roberto R.; Taboada, Guillermo L.; Touriño, Juan (Universidade da Coruña, Servizo de Publicacións, 2023)
      BDWatchdog is a framework to assist in the in-depth and real-time analysis of the execution of Big Data frameworks and applications. BDWatchdog was originally developed to monitor Hadoop ecosystems deployed on serverless ...
    • Development of a Virtual Sensor for COD Measurement in a Wastewater Treatment Plant 

      Díaz-Longueira, Antonio; Timiraos, Míriam; Michelena, Álvaro; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The objective of the work is to develop a system that allows predicting, from a global perspective, the behavior of the process in a wastewater treatment plant. To do this, the chemical oxygen demand, a variable ...
    • Analysis of the NS-3 module QKDNetSim for the Simulation of QKD Networks 

      Soler, David; Cillero Seijas, Iván; Nóvoa, Francisco; Dafonte, Carlos; Fernández Vilas, Ana; Fernández Veiga, Manuel (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Quantum Key Distribution (QKD) is a promising technology that allows two nodes to privately agree on a key through a quantum channel. Unfortunately, QKD is still in experimental phase and researchers must rely ...
    • Predicting Inflow Flow in Hydraulic Dams Using Artificial Neural Networks 

      Fernández Sáchez, Alberto; Rabuñal, Juan R.; Cebrián Rivero, Daniel; Pazos, A.; Gestal, M.; Cea, Luis (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Accurate prediction of inflow in dams plays a crucial role in water resource management Kim et al. (2019); Vargas-Garay et al. (2018); Zhong et al. (2018) and risk mitigation Costabile et al. (2020); Rabuñal et ...
    • Efficient Database Evolution in Digital Library Reengineering 

      Ramos-Vidal, Delfina; Brisaboa, Nieves R. (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] With the advancement of internet applications, extensive information systems were created to effectively manage and provide easy access to documents, which coincided with a global initiative to convert physical ...
    • Ethical and Legal Risks of Algorithmic and AI Tools Developed to Fight Against Trafficking in Cultural Property in the RITHMS Project 

      García Adán, Amara; Fuentes-Loureiro, María-Ángeles (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Algorithmic technologies, big data and artificial intelligence have also disrupted the legal field. AI tools used in police investigations and in the judicial process stand out. The tools developed in the ...
    • Self-adaptive Cooperation Scheme in a Parallel ACO Algorithm for Binary Combinatorial Problems 

      Prado-Rodríguez, Roberto; González, Patricia; Banga, Julio R.; Doallo, Ramón (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The ant colony optimization (ACO) is widely used for combinatorial optimization problems, although it can suffer from fast convergence to local minima. In order to provide a versatile implementation of ACO, ...