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Delia Velasco Montero

Predoctoral PIF FPU Ministerio
dvelasco@us.es

Investiga en

Tipo Año Título Fuente
Artículo2024 Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning Ecological Informatics
Artículo2023 A pipelining-based heterogeneous scheduling and energy-throughput optimization scheme for CNNs leveraging apache TVM IEEE ACCESS
Libro2022 Visual inference for IoT systems: a practical approach Visual Inference for IoT Systems: A Practical Approach
Artículo2020 Impact of thermal throttling on long-term visual inference in a CPU-based edge device ELECTRONICS
Artículo2020 Performance assessment of deep learning frameworks through metrics of CPU hardware exploitation on an embedded platform International Journal of Electrical and Computer Engineering Systems
Artículo2020 PreVIous: a methodology for prediction of visual inference performance on IoT devices IEEE INTERNET OF THINGS JOURNAL
Ponencia2019 Demo: CNN performance prediction on a CPU-based edge platform SPLC'19: PROCEEDINGS OF THE 23RD INTERNATIONAL SYSTEMS AND SOFTWARE PRODUCT LINE CONFERENCE, VOL A
Ponencia2019 On the Correlation of CNN Performance and Hardware Metrics for Visual Inference on a Low-Cost CPU-based Platform International Conference on Systems, Signals, and Image Processing
Ponencia2018 Demo: On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC'18)
Ponencia2018 Optimum Network/Framework Selection from High-Level Specifications in Embedded Deep Learning Vision Applications ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2018
Artículo2018 Optimum Selection of DNN Model and Framework for Edge Inference IEEE ACCESS
Ponencia2018 Performance Analysis of Real-Time DNN Inference on Raspberry Pi REAL-TIME IMAGE AND VIDEO PROCESSING 2018

Proyectos de Investigación

Fecha de inicio Fecha de fin Rol Denominación Agencia financiadora
01/03/2019 28/02/2023 Investigador/a Looking Beyond Images: Low-Power Sensor Architectures for 2D/3D Imaging and Vision (3DPLSENSE) (N00014-19-1-2156) Office of Naval Research EEUU (Internacional)
01/12/2022 30/11/2024 Investigador/a Plataforma embebida multi-sensorial inteligente para monitorización avanzada de la naturaleza (TED2021-131835B-I00) Ministerio de Ciencia e Innovación (Nacional)
El investigador no tiene ningún resultado de investigación asociado