TinyBird
Author:
Affiliation:
1. Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzeland
Publisher
ACM Press
Reference31 articles.
1. Firouzi, Farshad, Amir M. Rahmani, Kunal Mankodiya, Mustafa Badaroglu, Geoff V. Merrett, P. Wong, and Bahar Farahani. "Internet-of-Things and big data for smarter healthcare: from device to architecture, applications, and analytics." (2018): 583--586
2. Magno, M., Benini, L., Spagnol, C. and Popovici, E., 2013, October. Wearable low power dry surface wireless sensor node for healthcare monitoring application. In 2013 IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 189--195). IEEE.
3. Heitmann, Jan, Fabian Steinmetz, and Christian Renner. "Self-Localization of Micro AUVs Using a Low-Power, Low-Cost Acoustic Modem." OCEANS 2018 MTS/IEEE Charleston. IEEE, 2018
4. Magno, Michele, and David Boyle. "Wearable energy harvesting: From body to battery." In 2017 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS), pp. 1--6. IEEE, 2017.
5. Akan, Ozgur B., Oktay Cetinkaya, Caglar Koca, and Mustafa Ozger. "Internet of hybrid energy harvesting things." IEEE Internet of Things Journal 5, no. 2 (2018): 736--746.
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1. TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21
2. Self-Powered Photovoltaic Bluetooth® Low Energy Temperature Sensor Node;IEEE Access;2021
3. Enabling Low-Latency Bluetooth Low Energy on Energy Harvesting Batteryless Devices Using Wake-Up Radios;Sensors;2020-09-12
4. Radio Frequency Power Transmission for Self-Sustaining Miniaturized IoT Devices: Survey and Experimental Evaluation;2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2020-06
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