1. Coelho Jr CN, Kuusela A, Zhuang H, Aarrestad T, Loncar V, Ngadiuba J, Pierini M, Summers S, Ultra low-latency, low-area inference accelerators using heterogeneous deep quantization with QKeras and hls4ml. http://arxiv.org/abs/2006.10159v1
2. Li Y, Li T, Patel RA, Yang X-D, Zhou X (2018) Self-powered gesture recognition with ambient light. In: Proceedings of the 31st annual ACM symposium on user interface software and technology (UIST ’18). Association for Computing Machinery, New York, NY, USA, pp 595–608. https://doi.org/10.1145/3242587.3242635
3. Wong A, Famouri M, Shafiee MJ (2020) AttendNets: tiny deep image recognition neural networks for the edge via visual attention condensers. arXiv:2009.14385
4. Licciardo GD, Vitolo P, Bosco S, Pennino S, Pau D, Pesaturo M, Di Benedetto L, Liguori R (2023) Ultra-tiny neural network for compensation of post-soldering thermal drift in MEMS pressure sensors. In: 56th edition of the IEEE international symposium on circuits and systems (IEEE ISCAS 2023)
5. Jan P, škulj G, Esnault C, Puc J, Vrabič R, Podržaj P (2023) Miniature mobile robot detection using an ultra-low resolution time-of-flight sensor dataset. IEEE Dataport