All Outputs (10)

High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network (2022)
Presentation / Conference Contribution
Zhang, Z., Li, Y., Liu, Q., & Liu, X. (2022). High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, I

A basic stage of hydrological research is to automatically extract water body information from high-resolution remote sensing images. Various methods based on deep learning convolutional neural networks have been proposed in recent studies to achieve... Read More about High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network.

Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review (2022)
Presentation / Conference Contribution
Darteh, O. F., Liu, Q., Liu, X., Bah, I., Nakoty, F. M., & Acakpovi, A. (2022). Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on P

The transition of the conventional power grid into the Smart Grid (SG), a widely distributed energy delivery network characterized by a two-way flow of electricity and information, is key for energy sector stakeholders. Despite the SG’s clear improve... Read More about Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review.

Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction (2022)
Presentation / Conference Contribution
Sun, J., Wu, H., Liu, Q., Liu, X., & Ma, J. (2022). Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, I

The weather radar will receive a lot of non-meteorological echo information during the body scan process, such as: object echoes, co-wave interference echoes, airplanes, flocks of birds, etc. These non-meteorological echoes will cause pollution to no... Read More about Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction.

An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models (2022)
Presentation / Conference Contribution
Wang, Y., Yang, Z., Liu, Q., & Liu, X. (2022). An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf o

Short-term heavy rainfall can have a significant impact on people's production, life and travel. Numerical Weather Prediction (NWP) is complex. It can predict weather conditions for the next week or even two weeks, but cannot predict the weather in t... Read More about An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models.

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract) (2022)
Presentation / Conference Contribution
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022, September). Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). Presented at 27th European Symposium on Research in Computer Security

Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detecting attacks. However, the lack of transparency in their decision-making pro... Read More about Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract).

A Lightweight and User-centric Two-factor Authentication Mechanism for IoT Based on Blockchain and Smart Contract (2022)
Presentation / Conference Contribution
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Liu, X. (2022). A Lightweight and User-centric Two-factor Authentication Mechanism for IoT Based on Blockchain and Smart Contract. In 2022 2nd International Conference of Smart Systems and Emerging Technologie

Two-factor authentication (2FA) is commonly used in Internet of Things (IoT) authentication to provide multi-layer protection. Tokens, often known as One-Time Passwords (OTP), are used to offer additional information. While this technique provides fl... Read More about A Lightweight and User-centric Two-factor Authentication Mechanism for IoT Based on Blockchain and Smart Contract.

Intelligent Question Answering System Based on Knowledge Graph (2022)
Presentation / Conference Contribution
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 C

In order to build a smart city and pursue more efficient city management, various industries have introduced intelligent question answering into process management. The intelligent question answering system based on the knowledge graph is dedicated t... Read More about Intelligent Question Answering System Based on Knowledge Graph.

A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment (2022)
Presentation / Conference Contribution
Lu, H., Kamoto, K. M., Liu, Q., Zhang, Y., Liu, X., Xu, X., & Qi, L. (2022). A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment. In Cloud Computing: 11th EAI International Conference, CloudComp 2021, Virtua

It is of great significance to study the positive characteristics of concrete bearing cracks, fire and other adverse environment for the safety of human life and property and the protection of environmental resources. However, there are still some ch... Read More about A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment.

Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach (2022)
Presentation / Conference Contribution
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 Computi

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-intrusive load management (NILM) promotes the development of multi-integrati... Read More about Improving Domestic NILM Using An Attention- Enabled Seq2Point Learning Approach.

An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data (2022)
Presentation / Conference Contribution
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

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 development of computer science and technology, through the combination of Int... Read More about An Intelligent Method for Upper Limb Posture Recognition Based on Limited MEMS Data.