Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Simon Foo"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 863-878 (2021)
The two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) for solving partially observable Markov decision processes (POMDP) problems. Reinforcement Learning (RL) is an approach to simulate the human’s
Externí odkaz:
https://doaj.org/article/45bf00de595c44d186fa3d200589c1c5
Autor:
Xuanchen Xiang, Simon Foo
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 3, Pp 554-581 (2021)
The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems. Reinforcement Learning (RL) is an approa
Externí odkaz:
https://doaj.org/article/4aaaaa9105f34a119951e453feeae065
Publikováno v:
EURASIP Journal on Information Security, Vol 2018, Iss 1, Pp 1-16 (2018)
Abstract In this work, side-channel attacks (SCAs) are considered as a security metric for the implementation of hybrid cryptosystems utilizing the neural network-based Tree Parity Re-Keying Machines (TPM). A virtual study is presented within the MAT
Externí odkaz:
https://doaj.org/article/7f33144db0074658ac2674e174d38c5b
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 43, Pp 863-878 (2021)
The two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) for solving partially observable Markov decision processes (POMDP) problems. Reinforcement Learning (RL) is an approach to simulate the human’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae50af74d0f493443f622bd256784c7f
https://doi.org/10.3390/make3040043
https://doi.org/10.3390/make3040043
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f020673d9b6a7ed3f8f48b1d30f37adb
https://doi.org/10.1109/iceccme55909.2022.9987830
https://doi.org/10.1109/iceccme55909.2022.9987830
Autor:
Simon Foo, Xuanchen Xiang
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 29, Pp 554-581 (2021)
The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems. Reinforcement Learning (RL) is an approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d59c8204a8d561a7d4366cc5cc33c8
https://www.mdpi.com/2504-4990/3/3/29
https://www.mdpi.com/2504-4990/3/3/29
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3804e80cef33b753afea6df4475715d7
https://doi.org/10.2139/ssrn.4074209
https://doi.org/10.2139/ssrn.4074209
Publikováno v:
Proceedings of the ASEE Annual Conference & Exposition; 2022, p1-5, 5p
Publikováno v:
2018 International Conference on Unmanned Aircraft Systems (ICUAS).
The advantages of nationwide coverage, secured mobile connectivity, licensed spectrum operations, interference mitigation and mobility robustness capabilities, LTE Advanced Pro (4.5G) cellular network is a highly suitable candidate for Unmanned Aeria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7139cef5aceb7bdb1a11bfd76cf64d0c
https://doi.org/10.1109/icuas.2018.8453326
https://doi.org/10.1109/icuas.2018.8453326
Publikováno v:
ICOIN
This paper analyses user equipment measurements and network performance indicators to address uplink power allocation problem in multi-vendor heterogeneous networks. First, the selection of optimal open-loop power control strategy is studied by compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e20dece0d20fcf729397d8b513c39f7d
https://doi.org/10.1109/icoin.2018.8343144
https://doi.org/10.1109/icoin.2018.8343144