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Random-based networks with dropout for embedded systems., , , and . Neural Comput. Appl., 33 (12): 6511-6526 (2021)On Edge Human Action Recognition Using Radar-Based Sensing and Deep Learning., , , , and . IEEE Trans. Ind. Informatics, 20 (3): 4160-4172 (March 2024)Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication., , , and . AICAS, page 1-4. IEEE, (2021)Computationally Light Algorithms for Tactile Sensing Signals Elaboration and Classification., , and . ICECS, page 1-6. IEEE, (2021)A pose-based hand image classification method retrainable on embedded target devices., , , , and . ICECS, page 1-6. IEEE, (2021)A Pipelined Implementation of the $n$-mode Tensor-Matrix Multiplication., , , , and . ICECS 2022, page 1-4. IEEE, (2022)A pilot study: electronic skin sensitive to the grasping speed., , , and . PRIME, page 305-308. IEEE, (2023)A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function., , , and . ICECS, page 89-92. IEEE, (2019)Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization., , , and . AICAS, page 276-280. IEEE, (2020)Embedded real-time objects' hardness classification for robotic grippers., , and . Future Gener. Comput. Syst., (November 2023)