Javier M. Aguiar-Pérez

ORCID: 0000-0001-7054-0369
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About
Contact & Profiles
Research Areas
  • Impact of Technology on Adolescents
  • Data Stream Mining Techniques
  • Conservation Techniques and Studies
  • Microfinance and Financial Inclusion
  • Digital Transformation in Industry
  • E-Learning and Knowledge Management
  • Anatomy and Medical Technology
  • FinTech, Crowdfunding, Digital Finance
  • Traffic Prediction and Management Techniques
  • Mobile Health and mHealth Applications
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Air Quality Monitoring and Forecasting
  • Technology and Security Systems
  • Technology Adoption and User Behaviour
  • Surgical Simulation and Training
  • Water Quality Monitoring Technologies
  • Autonomous Vehicle Technology and Safety
  • Smart Agriculture and AI
  • Technostress in Professional Settings
  • Artificial Intelligence in Healthcare and Education
  • Anomaly Detection Techniques and Applications
  • COVID-19 diagnosis using AI
  • Speech Recognition and Synthesis
  • Augmented Reality Applications

Universidad de Valladolid
2021-2025

Technology enables a more sustainable and universally accessible educational model. However, technology has brought paradox into students’ lives: it helps them engage in learning activities, but is also source of distraction. During the academic year 2021–2022, authors conducted study focusing on classroom distractions. One objectives was to identify main digital distractions from point view students. The carried out at an engineering school, where fully integrated routines teachers...

10.3390/su15076044 article EN Sustainability 2023-03-31

Sunflower seeds, one of the main oilseeds produced around world, are widely used in food industry. Mixtures seed varieties can occur throughout supply chain. Intermediaries and industry need to identify produce high-quality products. Considering that high oleic oilseed similar, a computer-based system classify could be useful The objective our study is examine capacity deep learning (DL) algorithms sunflower seeds. An image acquisition system, with controlled lighting Nikon camera fixed...

10.3390/s23052471 article EN cc-by Sensors 2023-02-23

We present an automatic road incident detector characterized by a low computational complexity for easy implementation in affordable devices, adaptability to changes scenery and conditions, detection of the most common incidents (vehicles with abnormal speed, pedestrians or objects fallen on road, vehicles stopped shoulder kamikaze vehicles). To achieve these goals, different tasks have been addressed: lane segmentation, identification traffic directions elimination unnecessary foreground....

10.20944/preprints202402.0796.v1 preprint EN 2024-02-14

Mixed reality opens interesting possibilities as it allows physicians to interact with both, the real physical and virtual computer-generated environment objects, in a powerful way. A mixed system, based HoloLens 2 glasses, has been developed assist cardiologists quite complex interventional procedure: ultrasound-guided femoral arterial cannulations, during real-time practice cardiology. The system is divided into two modules, transmitter module, responsible for sending medical images...

10.1007/s41666-023-00147-0 article EN cc-by Journal of Healthcare Informatics Research 2023-09-08

Identification and monitoring of existing surface water bodies on the Earth are important in many scientific disciplines for different industrial uses. This can be performed with help high-resolution satellite images that processed afterwards using data-driven techniques to obtain desired information. The objective this study is establish validate a method distinguish efficiently between land zones, i.e., an efficient detection. In context work, used processing detect based image...

10.3390/fractalfract6110657 article EN cc-by Fractal and Fractional 2022-11-07

We present an automatic road incident detector characterised by a low computational complexity for easy implementation in affordable devices, adaptability to changes scenery and conditions, detection of the most common incidents (vehicles with abnormal speed, pedestrians or objects falling on road, vehicles stopped shoulder, kamikaze vehicles). To achieve these goals, different tasks have been addressed: lane segmentation, identification traffic directions, elimination unnecessary...

10.3390/s24061822 article EN cc-by Sensors 2024-03-12
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