Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges
Journal Article
Liu, Q., Yang, Z., Ji, R., Zhang, Y., Bilal, M., Liu, X., …Xu, X. (2023)
Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges. IEEE Systems, Man, and Cybernetics Magazine, 9(4), 4-12. https://doi.org/10.1109/msmc.2022.3216943
Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this article, recent relevant scientific investigation and pra...
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...
A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars
Journal Article
Yang, Z., Wu, H., Liu, Q., Liu, X., Zhang, Y., & Cao, X. (in press)
A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars. ISA Transactions, https://doi.org/10.1016/j.isatra.2022.06.046
In recent years, the number of weather-related disasters significantly increases across the world. As a typical example, short-range extreme precipitation can cause severe flo...
CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets
Journal Article
Yang, Z., Liu, Q., Wu, H., Liu, X., & Zhang, Y. (2023)
CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets. Computer Modeling in Engineering and Sciences, 135(1), 45-64. https://doi.org/10.32604/cmes.2022.022045
Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upc...
Near-Data Prediction Based Speculative Optimization in a Distribution Environment
Journal Article
Liu, Q., Wu, X., Liu, X., Zhang, Y., & Hu, Y. (in press)
Near-Data Prediction Based Speculative Optimization in a Distribution Environment. Mobile Networks and Applications, https://doi.org/10.1007/s11036-021-01793-7
Hadoop is an open source from Apache with a distributed file system and MapReduce distributed computing framework. The current Apache 2.0 license agreement supports on-demand ...
Intelligent Question Answering System Based on Knowledge Graph
Conference Proceeding
Feng, X., Liu, Q., & Liu, X. (2022)
Intelligent Question Answering System Based on Knowledge Graph. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00225
In order to build a smart city and pursue more efficient city management, various industries have introduced intelligent question answering into process management. The intell...
An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data
Conference Proceeding
Wu, Z., Wu, X., Liu, Q., & Liu, X. (2022)
An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data. 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-CyberSciTech52372.2021.00082
There are more than 10 million new stroke cases worldwide every year, and stroke has become one of the main causes of death and disability. In recent years, with the rapid dev...
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...
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...