All Outputs (601)

Development of Sustainable Building Design in Hong Kong: Exploring Lean Capabilities (2022)
Presentation / Conference Contribution
Lam, E., Chan, A., Olawumi, T., Wong, I., & Kazeem, K. (2022). Development of Sustainable Building Design in Hong Kong: Exploring Lean Capabilities. In Proceedings of the 7th Water Efficiency Conference 2022 (160-169)

When a building design fails to meet the end-users' requirements after construction, it is regarded as a faulty design. Faulty designs often lead to renovation, demolition, and material waste. The need to implement innovative tools and systems that c... Read More about Development of Sustainable Building Design in Hong Kong: Exploring Lean Capabilities.

Co-sensitization effect of N719 dye with Cu doped CdS colloidal nanoparticles for dye sensitized solar cells (2022)
Journal Article
Roy, A., Mohamed, M., Gondal, M., Mallick, T. K., Tahir, A. A., & Sundaram, S. (2023). Co-sensitization effect of N719 dye with Cu doped CdS colloidal nanoparticles for dye sensitized solar cells. Inorganic Chemistry Communications, 148, Article 110298. h

Dye-sensitized solar cell’s (DSSC) performances are enhanced by engineering the materials at the interface of various device components owing to easy and inexpensive fabrication steps. Ru (II) polypyridyl-based synthetic dyes are the most widely used... Read More about Co-sensitization effect of N719 dye with Cu doped CdS colloidal nanoparticles for dye sensitized solar cells.

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.

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.

A novel approach of many-objective particle swarm optimization with cooperative agents based on an inverted generational distance indicator (2022)
Journal Article
Kouka, N., BenSaid, F., Fdhila, R., Fourati, R., Hussain, A., & Alimi, A. M. (2023). A novel approach of many-objective particle swarm optimization with cooperative agents based on an inverted generational distance indicator. Information Sciences, 623, 22

Most evolutionary algorithms, including particle swarm optimization (PSO), use Pareto dominance as a major selection criterion and face significant challenges when dealing with many-objective problems. To tackle this issue, this paper proposes a nove... Read More about A novel approach of many-objective particle swarm optimization with cooperative agents based on an inverted generational distance indicator.

Acoustics versus Psychoacoustics in Mixed Reality (2022)
Digital Artefact
McGregor, I. (2022). Acoustics versus Psychoacoustics in Mixed Reality. [https://www.youtube.com/watch?v=_pCD99RcDts&list=PLtnYW6qlPmyg4EcCMqRmVrXtopztUyUSx&index=3]

In Mixed Reality there is often a highly understandable desire to capture the “ground truth” and to represent it in its entirety. A typically strong belief is that the greater the amount of resolution, the better potential sense of immersion. This... Read More about Acoustics versus Psychoacoustics in Mixed Reality.

Mechanical behavior and constitutive model of sustainable concrete: seawater and sea-sand recycled aggregate concrete (2022)
Journal Article
Feng, W., Tang, Y., Yang, Y., Cheng, Y., Qiu, J., Zhang, H., Isleem, H. F., Tayeh, B. A., & Namdar, A. (2023). Mechanical behavior and constitutive model of sustainable concrete: seawater and sea-sand recycled aggregate concrete. Construction and Building

Resources such as fresh water and river sand have become scarce in some areas around the world because of the considerable increase in infrastructural construction. To overcome this issue, the utilization of recycled aggregates (RAs) in concrete is c... Read More about Mechanical behavior and constitutive model of sustainable concrete: seawater and sea-sand recycled aggregate concrete.

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).

Quantifying Particle Breakage and Its Evolution Using Breakage Indices and Grading Entropy Coordinates (2022)
Journal Article
Leak, J., Barreto, D., Dimitriadi, V., & Imre, E. (2022). Quantifying Particle Breakage and Its Evolution Using Breakage Indices and Grading Entropy Coordinates. Geotechnics, 2(4), 1109-1126. https://doi.org/10.3390/geotechnics2040052

Particle breakage in soils is a well-recognised behaviour. Conventional methods for quantifying the breakage process rely on calculating the area between the particle size distribution (PSD) curves produced before and after crushing. A key aspect of... Read More about Quantifying Particle Breakage and Its Evolution Using Breakage Indices and Grading Entropy Coordinates.

Towards Simple and Accurate Human Pose Estimation With Stair Network (2022)
Journal Article
Jiang, C., Huang, K., Zhang, S., Wang, X., Xiao, J., Niu, Z., & Hussain, A. (2023). Towards Simple and Accurate Human Pose Estimation With Stair Network. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(3), 805-817. https://doi.org/10

In this paper, we focus on tackling the precise keypoint coordinates regression task. Most existing approaches adopt complicated networks with a large number of parameters, leading to a heavy model with poor cost-effectiveness in practice. To overcom... Read More about Towards Simple and Accurate Human Pose Estimation With Stair Network.

A framework for live host-based Bitcoin wallet forensics and triage (2022)
Journal Article
Holmes, A., & Buchanan, W. J. (2023). A framework for live host-based Bitcoin wallet forensics and triage. Forensic Science International: Digital Investigation, 44, Article 301486. https://doi.org/10.1016/j.fsidi.2022.301486

Organised crime and cybercriminals use Bitcoin, a popular cryptocurrency, to launder money and move it across borders with impunity. The UK and other countries have legislation to recover the proceeds of crime from criminals. Recent UK case law has r... Read More about A framework for live host-based Bitcoin wallet forensics and triage.

Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids (2022)
Journal Article
Passos, L. A., Papa, J. P., Hussain, A., & Adeel, A. (2023). Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing, 527, 196-203. https://doi.org/10.1016/j.neucom.2022.11.081

Despite the recent success of machine learning algorithms, most models face drawbacks when considering more complex tasks requiring interaction between different sources, such as multimodal input data and logical time sequences. On the other hand, th... Read More about Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids.

Achieving high open circuit voltage for hole transport layer free ambient perovskite solar cells utilizing electric double layer effect (2022)
Journal Article
Sadhukhan, P., Roy, A., Bhandari, S., Mallick, T. K., Das, S., & Sundaram, S. (2023). Achieving high open circuit voltage for hole transport layer free ambient perovskite solar cells utilizing electric double layer effect. Solar Energy Materials and Solar

One of the features of perovskite solar cells (PSCs) that make them stand out among all photovoltaics (PVs) is their high open-circuit voltage (VOC). Owing to their simple manufacturing process, low cost of components, and good stability, carbon elec... Read More about Achieving high open circuit voltage for hole transport layer free ambient perovskite solar cells utilizing electric double layer effect.

Most NLG is Low-Resource: here's what we can do about it (2022)
Presentation / Conference Contribution
Howcroft, D. M., & Gkatzia, D. (2022). Most NLG is Low-Resource: here's what we can do about it. In Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) (336-350)

Many domains and tasks in natural language generation (NLG) are inherently 'low-resource', where training data, tools and linguistic analyses are scarce. This poses a particular challenge to researchers and system developers in the era of machine-lea... Read More about Most NLG is Low-Resource: here's what we can do about it.

Ellipse Encoding for Arbitrary-Oriented SAR Ship Detection Based on Dynamic Key Points (2022)
Journal Article
Gao, F., Huo, Y., Sun, J., Yu, T., Hussain, A., & Zhou, H. (2022). Ellipse Encoding for Arbitrary-Oriented SAR Ship Detection Based on Dynamic Key Points. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 5240528. https://doi.org/10.1109/tgr

In recent years, there has been growing interest in developing oriented bounding box (OBB)-based deep learning approaches to detect arbitrary-oriented ship targets in synthetic aperture radar (SAR) images. However, most existing OBB-based detection m... Read More about Ellipse Encoding for Arbitrary-Oriented SAR Ship Detection Based on Dynamic Key Points.

A survey of intelligent load monitoring in IoT-enabled distributed smart grids (2022)
Journal Article
Gan, J., Zeng, L., Liu, Q., & Liu, X. (2023). A survey of intelligent load monitoring in IoT-enabled distributed smart grids. International Journal of Ad Hoc and Ubiquitous Computing, 42(1), 12. https://doi.org/10.1504/ijahuc.2023.127781

Power load monitoring has been a research hotspot since a few years ago. With development of artificial intelligence, construction of smart grid has become the most important part of power load monitoring. At the same time, task scheduling mechanism... Read More about A survey of intelligent load monitoring in IoT-enabled distributed smart grids.

Barriers to BIM for facilities management adoption in Nigeria: a multivariate analysis (2022)
Journal Article
Ikediashi, D. I., Ansa, O. A., Ujene, A. O., & Akoh, S. R. (online). Barriers to BIM for facilities management adoption in Nigeria: a multivariate analysis. International Journal of Building Pathology and Adaptation, https://doi.org/10.1108/ijbpa-04-2022

Purpose Building information modelling (BIM) has been established in the literature as a successful platform that creates an intelligent virtual model for processing data from conceptual design through construction to operational stage of a facility... Read More about Barriers to BIM for facilities management adoption in Nigeria: a multivariate analysis.

Preparation of Elastomeric Nanocomposites Using Nanocellulose and Recycled Alum Sludge for Flexible Dielectric Materials (2022)
Journal Article
Sun, D., Saw, B. L., Onyianta, A. J., Wang, B., Wilson, C., O'Rourke, D., …Lu, Z. (2023). Preparation of Elastomeric Nanocomposites Using Nanocellulose and Recycled Alum Sludge for Flexible Dielectric Materials. Journal of Advanced Dielectrics, 13(01),

Flexible dielectric materials with environmental-friendly, low-cost and high-energy density characteristics are in increasing demand as the world steps into the new Industrial 4.0 era. In this work, an elastomeric nanocomposite was developed by incor... Read More about Preparation of Elastomeric Nanocomposites Using Nanocellulose and Recycled Alum Sludge for Flexible Dielectric Materials.

Four-Element/Eight-Port MIMO Antenna System with Diversity and Desirable Radiation for Sub 6 GHz Modern 5G Smartphones (2022)
Journal Article
Parchin, N. O., Amar, A. S., Darwish, M., Moussa, K. H., See, C. H., Abd-Alhameed, R. A., … Mohamed, H. G. (2022). Four-Element/Eight-Port MIMO Antenna System with Diversity and Desirable Radiation for Sub 6 GHz Modern 5G Smartphones. IEEE Access, 10, 1

In this manuscript, a multiple-input multiple-output (MIMO) antenna array system with identical compact antenna elements providing wide radiation and diversity function is introduced for sub 6 GHz fifth-generation (5G) cellular applications. The intr... Read More about Four-Element/Eight-Port MIMO Antenna System with Diversity and Desirable Radiation for Sub 6 GHz Modern 5G Smartphones.