Directorio
DELIA VELASCO MONTERO
Categoría
Profesor Ayudante Doctor
Contacto
Correo electrónico
Departamento
Área
Electrónica
Docencia
Asignaturas que imparte
- Diseño de Sistemas Digitales
- Circuitos Integrados
- Técnicas Experimentales I
- Circuitos Eléctricos: Teoría e Instrumentación
- Circuitos Eléctricos: Teoría e Instrumentación
- Circuitos Eléctricos: Teoría e Instrumentación
- Circuitos Integrados
- Técnicas Experimentales I
- Circuitos Integrados (EE)
- Circuitos Eléctricos. Teoría e Instrumentación
- Técnicas Experimentales I
Investigación
Grupo de investigación
MICROELECTRÓNICA ANALÓGICA Y DE SEÑAL MIXTA (MICROELECTRÓNICA ANALÓGICA Y D)
Libros publicados
Velasco, Delia;Fernández-Berni, Jorge;Rodriguez-Vazquez, Angel:
Visual Inference for IoT Systems: A Practical Approach. : Springer International Publishing Switzerland. 2022. 978-3-030-90902-4
Visual Inference for IoT Systems: A Practical Approach. : Springer International Publishing Switzerland. 2022. 978-3-030-90902-4
Asistencia a congresos
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
Demo: CNN Performance Prediction on a CPU-based Edge Platform. Comunicación en congreso. ACM Int. Conf. on Distributed Smart Cameras (ICDSC). Trento, Italia. 2019
Demo: CNN Performance Prediction on a CPU-based Edge Platform. Comunicación en congreso. ACM Int. Conf. on Distributed Smart Cameras (ICDSC). Trento, Italia. 2019
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
On the Correlation of CNN Performance and Hardware Metrics for Visual Inference on a Low-Cost CPU-based Platform. Comunicación en congreso. 26th IEEE International Conference on Systems, Signals and Image Processing (IWSSIP). Osijek, Croatia. 2019
On the Correlation of CNN Performance and Hardware Metrics for Visual Inference on a Low-Cost CPU-based Platform. Comunicación en congreso. 26th IEEE International Conference on Systems, Signals and Image Processing (IWSSIP). Osijek, Croatia. 2019
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
Optimum Network/Framework Selection from High-Level Specifications in Embedded Deep Learning Vision Applications. Comunicación en congreso. Advanced Concepts for Intelligent Vision Systems Conference. POITIERS (FRANCE). 2018
Optimum Network/Framework Selection from High-Level Specifications in Embedded Deep Learning Vision Applications. Comunicación en congreso. Advanced Concepts for Intelligent Vision Systems Conference. POITIERS (FRANCE). 2018
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
Demo: On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera. Demostración en Congreso. ACM International Conference on Distributed Smart Cameras. EINDHOVEN, THE NEDERLANDS. 2018
Demo: On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera. Demostración en Congreso. ACM International Conference on Distributed Smart Cameras. EINDHOVEN, THE NEDERLANDS. 2018
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
Performance Analysis of Real-Time DNN Inference on Raspberry Pi. Comunicación en congreso. SPIE Defense + Commercial Sensing and Imaging: Real-Time Image and Video Processing. FLORIDA, ORLANDO (USA). 2018
Performance Analysis of Real-Time DNN Inference on Raspberry Pi. Comunicación en congreso. SPIE Defense + Commercial Sensing and Imaging: Real-Time Image and Video Processing. FLORIDA, ORLANDO (USA). 2018
Artículos publicados
Benoit-cattin, Theo;Velasco, Delia;Fernández-Berni, Jorge:
Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device. Electronics. 2020. Vol: 9. Núm: 12. 10.3390/electronics9122106.
Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device. Electronics. 2020. Vol: 9. Núm: 12. 10.3390/electronics9122106.
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices. IEEE Internet of Things Journal. 2020. Vol: 7. Núm: 10. Pág. 9227-9240. 10.1109/JIOT.2020.2981684.
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices. IEEE Internet of Things Journal. 2020. Vol: 7. Núm: 10. Pág. 9227-9240. 10.1109/JIOT.2020.2981684.
Velasco, Delia;Fernández-Berni, Jorge;Carmona-Galan, Ricardo;Rodriguez-Vazquez, Angel:
Optimum Selection of DNN Model and Framework for Edge Inference. IEEE Access. 2018. Vol: 6. Pág. 51680-51692. 10.1109/ACCESS.2018.2869929.
Optimum Selection of DNN Model and Framework for Edge Inference. IEEE Access. 2018. Vol: 6. Pág. 51680-51692. 10.1109/ACCESS.2018.2869929.
