Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Yinliang Zhao"'
Publikováno v:
IEEE Access, Vol 7, Pp 80058-80068 (2019)
Recent years have witnessed the rapid development in the research topic of WiFi sensing that automatically senses human with commercial WiFi devices. Past work falls into two major categories, i.e., activity recognition and the indoor localization. T
Externí odkaz:
https://doaj.org/article/30251466ca8b47fd9323df12656b316a
Autor:
Shuo Ji, Yinliang Zhao
Publikováno v:
Symmetry, Vol 10, Iss 7, p 247 (2018)
To efficiently process time-evolving graphs where new vertices and edges are inserted over time, an incremental computing model, which processes the newly-constructed graph based on the results of the computation on the outdated graph, is widely adop
Externí odkaz:
https://doaj.org/article/b5f8607a22ca4625af6c0e2554e53b51
Publikováno v:
Symmetry, Vol 9, Iss 9, p 180 (2017)
Speculative multithreading (SpMT) is a thread-level automatic parallelization technique that can accelerate sequential programs, especially for irregular applications that are hard to be parallelized by conventional approaches. Thread partition plays
Externí odkaz:
https://doaj.org/article/27d3babb92d14067940598405bd77b2f
Speculative multi-threading (SpMT) has been proposed as a perspective method to exploit Chip Multiprocessors (CMP) hardware potential. It is a thread level speculation (TLS) model mainly depending on software and hardware co-design. This paper resear
Externí odkaz:
http://arxiv.org/abs/1412.3224
Publikováno v:
Bussecon Review of Social Sciences (2687-2285). 4:25-31
This article analyzes the status quo and cooperation mechanism between ASEAN and China, mainly, the non-traditional security issues in the South China Sea space (SCS). The non-traditional security threats confronting the SCS are complex, diverse and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::598473b9af81e1ceeb5801483ffad7b7
https://doi.org/10.36096/brss.v4i2.387
https://doi.org/10.36096/brss.v4i2.387
Publikováno v:
Neural Computing and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a56b177381dfe916f2ae8593c9e46e3
https://doi.org/10.1007/s00521-023-08514-z
https://doi.org/10.1007/s00521-023-08514-z
Publikováno v:
The Journal of Supercomputing. 78:13298-13322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8ea67f9cabd4f8c4806918736c4e9aa
https://doi.org/10.1007/s11227-022-04381-y
https://doi.org/10.1007/s11227-022-04381-y
Publikováno v:
2022 7th International Conference on Computational Intelligence and Applications (ICCIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61cab995d63dd871c1bdcc21ba04fe14
https://doi.org/10.1109/iccia55271.2022.9828440
https://doi.org/10.1109/iccia55271.2022.9828440
Publikováno v:
Applied Intelligence. 51:185-201
Deep reinforcement learning has achieved significant success in various domains. However, it still faces a huge challenge when learning multiple tasks in sequence. This is because the interaction in a complex setting involves continual learning that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111f9b123efcb735bf7d7d5bd39c1384
https://doi.org/10.1007/s10489-020-01786-1
https://doi.org/10.1007/s10489-020-01786-1
Publikováno v:
Neurocomputing. 403:98-108
Deceptive games are games that utilize the reward structure to keep the agent away from the global optimization and have been grown up to become a huge challenge in the field of deep reinforcement learning intelligent exploration. Most of the cutting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8400b033fd5034483df7e57ecafda4bc
https://doi.org/10.1016/j.neucom.2020.04.068
https://doi.org/10.1016/j.neucom.2020.04.068