Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Zhao, Dan"'
Publikováno v:
2023 5th Asia Energy and Electrical Engineering Symposium (AEEES).
Publikováno v:
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES).
Autor:
Frey, Nathan C., Li, Baolin, McDonald, Joseph, Zhao, Dan, Jones, Michael, Bestor, David, Tiwari, Devesh, Gadepally, Vijay, Samsi, Siddharth
Publikováno v:
2022 IEEE High Performance Extreme Computing Conference (HPEC).
Deep learning (DL) workflows demand an ever-increasing budget of compute and energy in order to achieve outsized gains. Neural architecture searches, hyperparameter sweeps, and rapid prototyping consume immense resources that can prevent resource-con
Autor:
Zhao, Dan1 (AUTHOR) zhaod01@pcl.ac.cn, Muntean, Cristina Hava2 (AUTHOR) cristina.muntean@ncirl.ie, Chis, Adriana E.2 (AUTHOR) adriana.chis@ncirl.ie, Rozinaj, Gregor3 (AUTHOR) gregor.rozinaj@stuba.sk, Muntean, Gabriel-Miro4 (AUTHOR) gabriel.muntean@dcu.ie
Publikováno v:
IEEE Transactions on Education. Nov2022, Vol. 65 Issue 4, p502-513. 12p.
Autor:
Lu, Hancheng1 hclu@ustc.edu.cn, Zhao, Dan1 zd2019@mail.ustc.edu.cn, Wang, Yazheng1 wang1997@mail.ustc.edu.cn, Kong, Chani1 kongchani@mail.ustc.edu.cn, Chen, Weidong2 wdchen@ustc.edu.cn
Publikováno v:
IEEE Transactions on Communications. Jul2022, Vol. 70 Issue 7, p4852-4866. 15p.
Publikováno v:
IEEE Wireless Communications; Jun2022, Vol. 29 Issue 3, p131-138, 8p
Autor:
Li Ya-Ping, Zhao Dan
Publikováno v:
2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
In order to make the obstacle avoidance performance of the radio frequency robot more intelligent, this research designed an autonomous obstacle avoidance system for the radio frequency robot based on deep learning. The system is composed of five mod
Development of a Practical Atmospheric Correction Algorithm for Inland and Nearshore Coastal Waters.
Publikováno v:
IEEE Transactions on Geoscience & Remote Sensing. Jan2022, Vol. 60 Issue 1, p1-15. 15p.
Publikováno v:
2020 IEEE 8th International Conference on Information, Communication and Networks (ICICN).
Massive multiple input multiple output (MIMO) technology has been become one of 5G’s core technologies. However, conventional MMSE algorithm usually involves high complexity due to the required matrix inversion of large-size matrix, which make it h
Publikováno v:
2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications( AEECA).
The capacitor voltage transformer (CVT) has a transient response when a fault occurs on the inverter side of HVDC. The output voltage at the secondary side of CVT can not accurately reflect the change of the input voltage at the primary side in time,