Machine Learning Enabled Quantitative Ultrasound Techniques for Tissue Differentiation
Journal Article
Thomson, H., Yang, S., & Cochran, S. (in press)
Machine Learning Enabled Quantitative Ultrasound Techniques for Tissue Differentiation. Journal of Medical Ultrasonics,
Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered via radio-frequency ultrasound data. This paper describes how to implement the m...
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.
Using Semantic Technology to Model Persona for Adaptable Agents
Conference Proceeding
Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021)
Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021
In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitabl...
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, 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. (in press)
An Edge-Assisted Cloud Framework Using a Residual Concatenate FCN Approach to Beam Correction in the Internet of Weather Radars. World Wide Web, 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...
Intelligent Question Answering System Based on Knowledge Graph
Conference Proceeding
Feng, X., Liu, Q., & Liu, X. (in press)
Intelligent Question Answering System Based on Knowledge Graph. In IEEE SmartCity-2021
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...
A Residual Concatenate FCN Approach to Beam Blockage Correction in Weather Radars
Conference Proceeding
Wu, H., Liu, Q., Liu, X., Zhang, Y., Xu, X., & Bilal, M. (in press)
A Residual Concatenate FCN Approach to Beam Blockage Correction in Weather Radars. In The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021)
An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data
Conference Proceeding
Wu, Z., Wu, X., Liu, Q., & Liu, X. (in press)
An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data. In The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021)
Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach
Conference Proceeding
Zhang, J., Sun, J., Gan, J., Liu, Q., & Liu, X. (in press)
Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach. In The 6th IEEE Cyber Science and Technology Congress (2021) (CyberSciTech 2021)