Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach
Conference Proceeding
Zhang, J., Sun, J., Gan, J., Liu, Q., & Liu, X. (2022)
Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach. In 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00079
The past decade have seen a growth in Internet technology, the overlap of cyberspace and social space provides great convenience for people's life. The in-depth study of non-i...
SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction
Journal Article
Li, Y., Lu, H., Liu, Q., Zhang, Y., & Liu, X. (2022)
SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction. Remote Sensing, 14(3), Article 768. https://doi.org/10.3390/rs14030768
In the field of building detection research, an accurate, state-of-the-art semantic segmentation model must be constructed to classify each pixel of the image, which has an im...
Introduction to the Special Issue on Intelligent Models for Security and Resilience in Cyber Physical Systems
Journal Article
Liu, Q., Liu, X., Grosu, R., & Yang, C. (2022)
Introduction to the Special Issue on Intelligent Models for Security and Resilience in Cyber Physical Systems. Computer Modeling in Engineering and Sciences, 131(1), 23-26. https://doi.org/10.32604/cmes.2022.020646
This article has no abstract.
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks
Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022)
Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016/j.phycom.2021.101584
The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solu...
An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars
Journal Article
Wu, H., Liu, Q., Liu, X., Zhang, Y., & Yang, Z. (2022)
An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars. World Wide Web, 25, 1923-1949. https://doi.org/10.1007/s11280-021-00988-y
Internet of Things (IoT) has been rapidly developed in recent years, being well applied in the fields of Environmental Surveillance, Smart Grid, Intelligent Transportation, an...
A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data
Journal Article
Lu, H., Liu, Q., Liu, X., & Zhang, Y. (2021)
A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data. Journal of Organizational and End User Computing, 33(6), https://doi.org/10.4018/joeuc.20211101.oa6
With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid m...
Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation
Conference Proceeding
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (in press)
Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.
In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system a...
A Residual Concatenate FCN Approach to Beam Blockage Correction in Weather Radars
Presentation / Conference
Wu, H., Liu, Q., Liu, X., Zhang, Y., Xu, X., & Bilal, M. (2021, October)
A Residual Concatenate FCN Approach to Beam Blockage Correction in Weather Radars. Paper presented at The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021), Online
Architecting Green Mobile Cloud Apps
Book Chapter
Jaachimma Chinenyeze, S., & Liu, X. (2021)
Architecting Green Mobile Cloud Apps. In C. Calero, M. Á. Moraga, & M. Piattini (Eds.), Software Sustainability (183-214). Cham: Springer. https://doi.org/10.1007/978-3-030-69970-3_8
With the resource-constrained nature of mobile devices, and the resource-abundant offerings of the cloud, several promising optimization techniques have been proposed by the g...
RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction
Journal Article
Zhu, L., Liu, Q., Liu, X., & Zhang, Y. (2021)
RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction. EURASIP Journal on Wireless Communications and Networking, 2021, Article 171 (2021). https://doi.org/10.1186/s13638-021-02044-9
For the purpose of exploring the long-term variation of regional sea surface temperature (SST), this paper studies the historical SST in regional sea areas and the emission pa...