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Publication search results
found 10 matches
- 2023
- Pedro L. Cebrián, Alberto Martín-Pérez, Manuel Villa, Jaime Sancho, Gonzalo Rosa, Guillermo Vázquez, Pallab Sutradhar, Alejandro Martinez de Ternero, Miguel Chavarrías, Alfonso Lagares, Eduardo Juárez, César Sanz:
Deep Recurrent Neural Network Performing Spectral Recurrence on Hyperspectral Images for Brain Tissue Classification. DASIP 2023: 15-27 - Mariusz Grabowski, Tomasz Kryjak:
Real-Time FPGA Implementation of the Semi-global Matching Stereo Vision Algorithm for a 4K/UHD Video Stream. DASIP 2023: 70-81 - Hana Krichene, Rohit Prasad, Ayoub Mouhagir:
AINoC: New Interconnect for Future Deep Neural Network Accelerators. DASIP 2023: 55-69 - Tomás Malcata, Nuno Sebastião, Tiago Dias, Nuno Roma:
Neural Network Predictor for Fast Channel Change on DVB Set-Top-Boxes. DASIP 2023: 40-52 - Florian Meisel, David Volz, Christoph Spang, Dat Tran, Andreas Koch:
TaPaFuzz - An FPGA-Accelerated Framework for RISC-V IoT Graybox Fuzzing. DASIP 2023: 82-94 - Ophélie Renaud, Dylan Gageot, Karol Desnos, Jean-François Nezan:
SCAPE: HW-Aware Clustering of Dataflow Actors for Tunable Scheduling Complexity. DASIP 2023: 3-14 - Majdi Richa, Jean-Christophe Prévotet, Mickaël Dardaillon, Mohamad Mroué, Abed Ellatif Samhat:
High-Level Online Power Monitoring of FPGA IP Based on Machine Learning. DASIP 2023: 107-119 - Daniel de Oliveira Rubiano, Guilherme Korol, Antonio Carlos Schneider Beck:
Adaptive Inference for FPGA-Based 5G Automatic Modulation Classification. DASIP 2023: 95-106 - Guillermo Vázquez, Manuel Villa, Alberto Martín-Pérez, Jaime Sancho, Gonzalo Rosa, Pedro L. Cebrián, Pallab Sutradhar, Alejandro Martinez de Ternero, Miguel Chavarrías, Alfonso Lagares, Eduardo Juárez, César Sanz:
Brain Blood Vessel Segmentation in Hyperspectral Images Through Linear Operators. DASIP 2023: 28-39 - Miguel Chavarrías, Alfonso Rodríguez:
Design and Architecture for Signal and Image Processing - 16th International Workshop, DASIP 2023, Toulouse, France, January 16-18, 2023, Proceedings. Lecture Notes in Computer Science 13879, Springer 2023, ISBN 978-3-031-29969-8 [contents]
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