Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jianran Liu"'
Autor:
Jianran Liu, Wen Ji
Publikováno v:
International Journal of Crowd Science, Vol 6, Iss 1, Pp 1-6 (2022)
Agents are always in an interactive environment. With time, the intelligence of agents will be affected by the interactive environment. Agents need to coordinate the interaction with different environmental factors to achieve the optimal intelligence
Externí odkaz:
https://doaj.org/article/d16855299faa47e98c9fc2d1cb64e791
Autor:
Jianran Liu, Wen Ji
Publikováno v:
International Journal of Crowd Science, Vol 5, Iss 3, Pp 281-292 (2021)
PurposeIn recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to mo
Externí odkaz:
https://doaj.org/article/172ed160666345769df4284eaaeafce9
Publikováno v:
International Journal of Crowd Science, Vol 5, Iss 2, Pp 129-142 (2021)
PurposeArtificial intelligence is gradually penetrating into human society. In the network era, the interaction between human and artificial intelligence, even between artificial intelligence, becomes more and more complex. Therefore, it is necessary
Externí odkaz:
https://doaj.org/article/d66540b46efe4944921979e0c998c5c1
Publikováno v:
IEEE Access, Vol 6, Pp 73802-73814 (2018)
Dimensionality reduction is commonly used to preprocess high-dimensional data, which is an essential step in machine learning and data mining. An outstanding low-dimensional feature can improve the efficiency of subsequent learning tasks. However, ex
Externí odkaz:
https://doaj.org/article/b3d938628d9041e997fd31b0edceac81
Autor:
Wen Ji, Jianran Liu
Publikováno v:
International Journal of Crowd Science. 5:281-292
Purpose In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b162ca7b21519395bf17f5ab81db900
https://doi.org/10.1108/ijcs-03-2021-0008
https://doi.org/10.1108/ijcs-03-2021-0008
Publikováno v:
Applied Intelligence. 52:4244-4257
Unmanned Aerial Vehicles (UAVs) are utilized instead of humans to complete aerial assignments in various fields. With the development of computer vision, object detection has become one of the core technologies in UAV application. However, object det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1e95ffb959dbce52e53023914fdaa3
https://doi.org/10.1007/s10489-021-02512-1
https://doi.org/10.1007/s10489-021-02512-1
Publikováno v:
International Journal of Crowd Science. 5:129-142
Purpose Artificial intelligence is gradually penetrating into human society. In the network era, the interaction between human and artificial intelligence, even between artificial intelligence, becomes more and more complex. Therefore, it is necessar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::879042b235fbf2390a64432ae2d006aa
https://doi.org/10.1108/ijcs-07-2020-0013
https://doi.org/10.1108/ijcs-07-2020-0013
Publikováno v:
Signal, Image and Video Processing. 15:1547-1554
In video coding, the efficiency of inter-prediction in highly efficient video coding (HEVC) is improved by fractional-pixel motion compensation and is widely used. The traditional fractional-pixel motion compensation method usually interpolates fract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18b116053de32367b0797edf842e21e1
https://doi.org/10.1007/s11760-021-01887-5
https://doi.org/10.1007/s11760-021-01887-5
Publikováno v:
Neurocomputing. 443:292-301
Computer vision analysis in Unmanned Aerial Vehicle (UAV) represents a major trend in the future development. Object detection in UAV images is one of the important techonlogies to analyze scene information. However, the UAV image includes small and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::750c1cc08165f5ee09b847f07087fcba
https://doi.org/10.1016/j.neucom.2021.03.016
https://doi.org/10.1016/j.neucom.2021.03.016
Publikováno v:
Neurocomputing. 369:122-133
The rapid increase of social media images has made organizing these resources effectively a huge problem. Labeling unlabeled images becomes the crucial division of social image understanding. However, the enhancement of social image sharpness leads t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31a37aab4f99a567a1a1f661c122eebd
https://doi.org/10.1016/j.neucom.2019.08.083
https://doi.org/10.1016/j.neucom.2019.08.083