Exploring coupled images fusion based on joint tensor decomposition
Journal Article
Lu, L., Ren, X., Yeh, K., Tan, Z., & Chanussot, J. (2020)
Exploring coupled images fusion based on joint tensor decomposition. Human-Centric Computing and Information Sciences, 10, https://doi.org/10.1186/s13673-020-00215-z
Data fusion has always been a hot research topic in human-centric computing and extended with the development of artificial intelligence. Generally, the coupled data fusion al...
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
Journal Article
Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016)
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. IEEE Transactions on Computers, 65(10), 2986-2998. https://doi.org/10.1109/tc.2016.2519914
Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification bu...
Deep learning based emotion analysis of microblog texts
Journal Article
Xu, D., Tian, Z., Lai, R., Kong, X., Tan, Z., & Shi, W. (2020)
Deep learning based emotion analysis of microblog texts. Information Fusion, 64, 1-11. https://doi.org/10.1016/j.inffus.2020.06.002
Traditional text emotion analysis methods are primarily devoted to studying extended texts, such as news reports and full-length documents. Microblogs are considered short tex...
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022)
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28, 1251-1261. https://doi.org/10.1007/s11276-018-01909-0
Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever ...
A VMD and LSTM based hybrid model of load forecasting for power grid security
Journal Article
Lv, L., Wu, Z., Zhang, J., Tan, Z., Zhang, L., & Tian, Z. (2022)
A VMD and LSTM based hybrid model of load forecasting for power grid security. IEEE Transactions on Industrial Informatics, 18(9), 6474-6482. https://doi.org/10.1109/tii.2021.3130237
As the basis for the static security of the power grid, power load forecasting directly affects the safety of grid operation, the rationality of grid planning, and the economy...
On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining
Journal Article
Cha, S., Wang, H., Tan, Z., Joung, Y., Tseng, Y., & Yeh, K. (2020)
On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(5), 641-652. https://doi.org/10.1109/tetci.2019.2938547
Intelligence mining is one of the most promising technologies for effectively extracting intelligence (and knowledge) to enhance the quality of decision-making. In Taiwan, the...
Editorial: Big data technologies and applications
Journal Article
Wu, Y., Pan, Y., Barnaghi, P., Tan, Z., Ge, J., & Wang, H. (2022)
Editorial: Big data technologies and applications. Wireless Networks, 28, 1163-1167. https://doi.org/10.1007/s11276-021-02787-9