Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sota Sawaguchi"'
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 11, Iss 2, p 17 (2021)
Reinforcement learning (RL) has received much attention in recent years due to its adaptability to unpredictable events such as harvested energy and workload, especially in the context of edge computing for Internet-of-Things (IoT) nodes. Due to limi
Externí odkaz:
https://doaj.org/article/5a692b2624d445568006bb20bd7fc370
Publikováno v:
DATE 2020-2020 Design, Automation & Test in Europe Conference & Exhibition
DATE 2020-2020 Design, Automation & Test in Europe Conference & Exhibition, Mar 2020, Grenoble, France. pp.1015-1018, ⟨10.23919/DATE48585.2020.9116518⟩
DATE
DATE 2020-2020 Design, Automation & Test in Europe Conference & Exhibition, Mar 2020, Grenoble, France. pp.1015-1018, ⟨10.23919/DATE48585.2020.9116518⟩
DATE
International audience; In energy-harvesting Internet of Things (EH-IoT) wireless networks, maintaining energy neutral operation (ENO) is crucial for their perpetual operation and maintenance-free property. Guaranteeing this ENO condition and optimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d15a51a9e36125bbbb9b1e28652a11
https://hal-cea.archives-ouvertes.fr/cea-03271255/file/DATE2020_ver_final_sawaguchi.pdf
https://hal-cea.archives-ouvertes.fr/cea-03271255/file/DATE2020_ver_final_sawaguchi.pdf
Autor:
Sota Sawaguchi, Hiroaki Nishi
Publikováno v:
ICT Express. 4:75-80
Neural Network Learning (NNL) is compute-intensive. It often involves a dropout technique which effectively regularizes the network to avoid overfitting. As such, a hardware accelerator for dropout NNL has been proposed; however, the existing method
Autor:
Sota Sawaguchi, Hiroaki Nishi
Publikováno v:
SmartGridComm
Smart City is a promising infrastructure for our near future community systems. It is predicted that more and more sensor devices and computing resources will be deployed in access networks because of the Internet of Things (IoT). This movement can c