关注
Delia Velasco-Montero
Delia Velasco-Montero
Universidad de Sevilla
在 imse-cnm.csic.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
Performance analysis of real-time DNN inference on Raspberry Pi
D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ...
Real-Time Image and Video Processing 2018 10670, 115-123, 2018
342018
Impact of thermal throttling on long-term visual inference in a CPU-based edge device
T Benoit-Cattin, D Velasco-Montero, J Fernández-Berni
Electronics 9 (12), 2106, 2020
272020
PreVIous: A methodology for prediction of visual inference performance on IoT devices
D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ...
IEEE Internet of Things Journal 7 (10), 9227-9240, 2020
242020
Optimum selection of DNN model and framework for edge inference
D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ...
IEEE Access 6, 51680-51692, 2018
242018
On the correlation of CNN performance and hardware metrics for visual inference on a low-cost CPU-based platform
D Velasco-Montero, J Femández-Bemi, R Carmona-Gálán, ...
2019 International Conference on Systems, Signals and Image Processing …, 2019
132019
Visual Inference for IoT Systems: A Practical Approach
D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez
Springer International Publishing, 2022
22022
Towards an efficient smart camera trap for wildlife monitoring
D Velasco-Montero, JFBR Carmona-Galán, AS Francisco
3rd International Workshop Camera Traps, AI and Ecology. Jena, Germany, 2023
12023
Relevant Hardware Metrics for Performance Evaluation
D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez
Visual Inference for IoT Systems: A Practical Approach, 61-88, 2022
12022
A Case Study: Remote Animal Monitoring
D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez
Visual Inference for IoT Systems: A Practical Approach, 125-159, 2022
12022
On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera
D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ...
Proceedings of the 12th International Conference on Distributed Smart …, 2018
12018
Extracción de características en imágenes de rayos X de cuadros
D Velasco Montero
12016
A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM
D Velasco-Montero, B Goossens, J Fernández-Berni, ...
IEEE Access 11, 35007-35021, 2023
2023
Contributions to the realization of DNN-based visual inference on embedded systems
D Velasco Montero
2023
Automatic Bat Counting and Reporting Based on Artificial Vision and an IoT Data Management Platform
D Velasco-Montero, V Galvín-Coronil, J Sancho-Giaever, E Tena López, ...
2023
Low-Power Low-Cost Reconfigurable IoT Device for Remote Wildlife Monitoring
V Galvín-Coronil, J Sancho-Giaever, D Velasco-Montero, ...
2023
Optimal Selection of Software and Models for Visual Inference
D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez
Visual Inference for IoT Systems: A Practical Approach, 31-60, 2022
2022
Embedded Vision for the Internet of Things: A Survey on State-of-the-Art Hardware, Software, and Deep Learning Models
D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez
Visual Inference for IoT Systems: A Practical Approach, 5-30, 2022
2022
Prediction of Visual Inference Performance
D Velasco-Montero, J Fernández-Berni, A Rodríguez-Vázquez
Visual Inference for IoT Systems: A Practical Approach, 89-124, 2022
2022
Performance assessment of deep learning frameworks through metrics of CPU hardware exploitation on an embedded platform
D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ...
International journal of electrical and computer engineering systems 11 (1 …, 2020
2020
CNN Performance Prediction on a CPU-based Edge Platform
D Velasco-Montero, J Fernández-Berni, R Carmona-Galán, ...
Proceedings of the 13th International Conference on Distributed Smart …, 2019
2019
系统目前无法执行此操作,请稍后再试。
文章 1–20