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CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection., , , и . AICAS, стр. 1-4. IEEE, (2021)Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach., , , , и . EUSIPCO, стр. 1-5. IEEE, (2023)An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring., , и . SoCC, стр. 54-59. IEEE, (2020)Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information., , , , , и . CoRR, (2020)2021 Roadmap on Neuromorphic Computing and Engineering., , , , , , , , , и 46 other автор(ы). CoRR, (2021)An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning., , , , , и . AICAS, стр. 1-4. IEEE, (2021)End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection., , , , , , и . SoCC, стр. 102-107. IEEE, (2020)Energy-Efficient Hardware for Language Guided Reinforcement Learning., , , , , , , и . ACM Great Lakes Symposium on VLSI, стр. 131-136. ACM, (2020)2022 roadmap on neuromorphic computing and engineering., , , , , , , , , и 49 other автор(ы). Neuromorph. Comput. Eng., 2 (2): 22501 (2022)