Yigit Tuncel
Orcid: 0000-0001-5943-0230
According to our database1,
Yigit Tuncel
authored at least 17 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
ACM Trans. Embed. Comput. Syst., October, 2023
Towards Smart Cattle Farms: Automated Inspection of Cattle Health with Real-Life Data.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
GEM-RL: Generalized Energy Management of Wearable Devices using Reinforcement Learning.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
ACM Trans. Internet Things, 2022
ECO: Enabling Energy-Neutral IoT Devices Through Runtime Allocation of Harvested Energy.
IEEE Internet Things J., 2022
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices.
CoRR, 2022
A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications.
Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022
2021
CoRR, 2021
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021
Wearable Devices and Low-Power Design for Smart Health Applications: Challenges and Opportunities.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021
Subject-Independent Freezing of Gait (FoG) Prediction in Parkinson's Disease Patients.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021
2020
Sensors, 2020
Found. Trends Electron. Des. Autom., 2020
Special Session: Physically Flexible Devices for Health and Activity Monitoring: Challenges from Design to Test.
Proceedings of the 38th IEEE VLSI Test Symposium, 2020
Towards wearable piezoelectric energy harvesting: modeling and experimental validation.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
2019
An Ultra-Low Energy Human Activity Recognition Accelerator for Wearable Health Applications.
ACM Trans. Embed. Comput. Syst., 2019