Deep learning model compression for resource efficient activity recognition on edge devices : a case study
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Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-29 February, 2024, Rome, Italy- () p. 575-584
Recognizing actions in high-resolution low-framerate videos : a feasibility study in the construction sector
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Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-29 February, 2024, Rome, Italy- () p. 593-600
Leveraging edge computing and orchestration platform for enhanced pedestrian safety application : the DEDICAT-6G approach
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Consumer Communications and Networking Conference, CCNC IEEE- () p. 380-383
SMART : selective MAC zero-optimization for neural network reliability under radiation
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Microelectronics and reliability - ISSN 0026-2714-150 (2023) p.
R2L-SLAM : sensor fusion-driven SLAM using mmWave Radar, LiDAR and deep neural networks
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Proceedings of IEEE Sensors- () p. 1-4