Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Zhengkui Wang"'
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Introduction/contextHealthcare workers (HCWs) play an important role in fighting against the COVID-19 pandemic. However, they have been exposed to mixed public responses more significantly during the COVID-19 pandemic, which have potentially affected
Externí odkaz:
https://doaj.org/article/41c9b7d932d94e33b968130ca362f06b
Publikováno v:
IEEE Access, Vol 8, Pp 109156-109167 (2020)
Deep neural network (DNN) has been recently applied to many safety-critical environments. Unfortunately, recent research has proven that DNN can be vulnerable to well-designed examples, called adversarial examples. Adversarial examples can easily foo
Externí odkaz:
https://doaj.org/article/4945d5180d1c4a7dbf76e68216b245fd
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3768 (2022)
In recent research, supervised image clustering based on Graph Neural Networks (GNN) connectivity prediction has demonstrated considerable improvements over traditional clustering algorithms. However, existing supervised image clustering algorithms a
Externí odkaz:
https://doaj.org/article/14728f92d2bb4298b363deb5b28419aa
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-16
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:3714-3726
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Autor:
Dongyu Qiu, Clemen Ow, Xinxing Xia, Jin Qi Yeo, Jiazhi Xia, Malcolm Yoke Hean Low, Zhengkui Wang, Alvin Toong Shoon Chan, Frank Yunqing Guan
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Publikováno v:
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD).
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2020 (2020)
Captioning the images with proper descriptions automatically has become an interesting and challenging problem. In this paper, we present one joint model AICRL, which is able to conduct the automatic image captioning based on ResNet50 and LSTM with s