Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jiangtao Kong"'
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9deff9db4660f0d1a65e97d5f0e9617
https://doi.org/10.23919/ccc55666.2022.9902877
https://doi.org/10.23919/ccc55666.2022.9902877
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a20e5c56c125236f59782b08c70b9221
https://doi.org/10.23919/ccc55666.2022.9902826
https://doi.org/10.23919/ccc55666.2022.9902826
Publikováno v:
Neurocomputing. 399:449-466
Reinforcement learning (RL) of optimal policies against an opponent agent also with learning capability is still challenging in Markov games. A variety of algorithms have been proposed for solving this problem such as the traditional Q-learning-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9207014f162ec489325c76f01e466d8
https://doi.org/10.1016/j.neucom.2020.02.118
https://doi.org/10.1016/j.neucom.2020.02.118
Autor:
Yuting Zhang, Zhenghua Liu, Xiaoyue Zhang, Jiangtao Kong, Dageng Huang, Yonghong Jiang, Zhou Liu
Publikováno v:
Journal of Computer Assisted Tomography
OBJECTIVE The aim of this study was to evaluate dual-energy computed tomography (CT) virtual noncalcium (VNCa) technique as a means of quantifying osteoporosis. METHODS Dual-energy CT scans were obtained prospectively, targeting lumbar regions of 55
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::155fbb6ae091dd07a9c93f7eeb023a60
https://pubmed.ncbi.nlm.nih.gov/34297514
https://pubmed.ncbi.nlm.nih.gov/34297514
Publikováno v:
Neurocomputing. 338:307-320
Urban route planning is important for smart cities and intelligent transportation systems. Most of the exiting methods of urban route planning are either graph based search algorithms or optimization methods, however they show many weaknesses in real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::210828bf3b7eda228393162099041a50
https://doi.org/10.1016/j.neucom.2019.02.012
https://doi.org/10.1016/j.neucom.2019.02.012
Publikováno v:
VCIP
This paper introduces our submission to the Grand Challenges on Vehicle Re-Identification (ReID) held in the VCIP 2019. Vehicle Re-Identification, which aims to retrieve images of a query vehicle from a large-scale vehicle database, is of great signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9715df6558e26276bc8475da0915cbbb
https://doi.org/10.1109/vcip47243.2019.8965856
https://doi.org/10.1109/vcip47243.2019.8965856
Publikováno v:
ICIP
Recently, the Convolutional Networks (ConvNet) has become the dominated approach to the human activity classification problem. We investigate current standard ConvNet architectures and pinpoint one of their main limitations: the spatial-temporal depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::603a28b9dd4056c129bfd5efc8498826
https://doi.org/10.1109/icip.2019.8803586
https://doi.org/10.1109/icip.2019.8803586
Publikováno v:
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee72f9ac5ece94555e62a39fc6a0f3dd
https://doi.org/10.2991/caai-18.2018.14
https://doi.org/10.2991/caai-18.2018.14
Publikováno v:
International Journal of Machine Learning and Computing. 5:379-383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1552c8fe0cdfae6e0020948e5c651c3
https://doi.org/10.7763/ijmlc.2015.v5.537
https://doi.org/10.7763/ijmlc.2015.v5.537
Autor:
Jiangtao Kong, Min Jing
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319607436
The green construction evaluation model is a multi objective and multi qualified model, and the solution has a certain degree of complexity. Often a single algorithm cannot be a good solution to the accuracy of the evaluation system and fault toleran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d253099b5355723a36f9b87552945e
https://doi.org/10.1007/978-3-319-60744-3_35
https://doi.org/10.1007/978-3-319-60744-3_35
