All Outputs (11154)

Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy (2024)
Presentation / Conference Contribution
Li, Q., Gao, Y., Wang, F., Wang, C., Babaagba, K. O., & Tan, Z. (2024, October). Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy. Presented at 20th EAI International Conference on Security and Privacy in Communication Networks, Dubai, United Arab Emirates

Graph Neural Networks (GNNs) exhibit promise in the domains of network analysis and recommendation systems. Notwithstanding , these networks are susceptible to node injection attacks. To mitigate this vulnerability, the academic community has put for... Read More about Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy.

An international review of building standards and guidelines on thermal comfort and ventilation for school buildings (2024)
Presentation / Conference Contribution
Bain-Reguis, N., & Smith, A. (2024, September). An international review of building standards and guidelines on thermal comfort and ventilation for school buildings. Presented at TWR2024, Edinburgh

This paper reviews and discusses thermal comfort and ventilation standards and guidelines in educational buildings in selected countries around the World, alongside the guidelines from the World Health Organization (WHO), the American Society of Heat... Read More about An international review of building standards and guidelines on thermal comfort and ventilation for school buildings.

Gamification in Hand Rehabilitation Following Stroke (2024)
Book Chapter
Bani, N. A., Mahadi, M., Noordin, M. K., & Muhammad Sukki, F. (2024). Gamification in Hand Rehabilitation Following Stroke. In N. Aini Bani, & S. Usman (Eds.), Technological Advances In Healthcare (61-86). Penerbit Universiti Teknologi Malaysia Press

Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder (2024)
Journal Article
Hasan, M. N., Jan, S. U., & Koo, I. (2024). Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder. Applied Sciences, 14(17), Article 7717. https://doi.org/10.3390/app14177717

The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio... Read More about Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder.

Capturing Film Mixers’ Workflows (2024)
Journal Article
Shalabi, A., & McGregor, I. (2024). Capturing Film Mixers’ Workflows. Journal of the Audio Engineering Society, 72(9),

Cinema being a controlled medium can offer stakeholders reassurance and a certain level of predictability in terms of soundtrack reproduction. The television and streaming suite of standards and delivery specifications have been developed in order to... Read More about Capturing Film Mixers’ Workflows.

Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks (2024)
Presentation / Conference Contribution
Huynh, D. V., Khosravirad, S. R., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2024, December). Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks. Paper presented at 2024 IEEE Global Communications Conference: Wireless Communications (GLOBECOM), Cape Town, South Africa

The advancement of sophisticated communication technologies and robust computing systems has unlocked opportunities for new applications across various domains. While these applications promise enhanced convenience and improved living standards, they... Read More about Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks (2024)
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains (2024)
Journal Article
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024). Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains. Electronics, 13(17), Article 3467. https://doi.org/10.3390/electronics13173467

In the evolving landscape of the Internet of Things (IoT), ensuring the security and integrity of data transmission remains a paramount challenge. Routing Protocol for Low-Power and Lossy Networks (RPL) is commonly utilized in IoT networks to facili... Read More about Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Paper presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane (2024)
Journal Article
Elnabawy, E., Sun, D., Shearer, N., & Shyha, I. (2024). The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane. Polymer, 311, Article 127553. https://doi.org/10.1016/j.polymer.2024.127553

Electro-blow spinning represents a novel and emerging hybridised technology for producing high-quality, large-scale nanofibers. The applied pressure, accompanied by an electric field, functions as a drafting force to generate ultrafine, homogeneous n... Read More about The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane.

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning (2024)
Journal Article
Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Al-Dubai, A., Arslan, T., & Hussain, A. (2024). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Transactions on Fuzzy Systems, 32(10), 5400-5412. https://doi.org/10.1109/tfuzz.2024.3435050

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech compre... Read More about Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Journal Article
Janjua, A. A., Younas, M., Ilyas, R. A., Shyha, I., Faisal, N. H., Inam, F., & Saharudin, M. S. (2024). Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites. Journal of Composites Science, 8(9), Article 340. https://doi.org/10.3390/jcs8090340

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes (2024)
Presentation / Conference Contribution
Luo, L., Cruickshank, P., Chita, P., & Richards, K. (2024, November). Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes. Presented at The Barcelona Conference on Education (BCE2024), Barcelona, Spain

Introduction: Internationalisation at Home (IaH) is a new trend in Internationalisation of Higher Education (IoHE). Starting with China’s emergence as a major international education player, the study evaluates the student experience of IaH in two Ch... Read More about Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

Machine Learning for Smart Healthcare Management Using IoT (2024)
Book Chapter
Yigit, Y., Duran, K., Moradpoor, N., Maglaras, L., Van Huynh, N., & Canberk, B. (2024). Machine Learning for Smart Healthcare Management Using IoT. In IoT and ML for Information Management: A Smart Healthcare Perspective (135-166). Springer. https://doi.org/10.1007/978-981-97-5624-7_4

This chapter explores the significant impact of Machine Learning (ML) and the Internet of Things (IoT) on smart healthcare management, marking a new era of innovation with enhanced patient care and health outcomes. The fusion of IoT devices for real-... Read More about Machine Learning for Smart Healthcare Management Using IoT.

The Pointillist principle for variation operators and jump functions (2024)
Journal Article
Hughes, K. (online). The Pointillist principle for variation operators and jump functions. Revista de la Unión Matemática Argentina, https://doi.org/10.33044/revuma.4124

I extend the pointillist principles of Moon and Carrillo-de Guzmán to variational operators and jump functions. 1. The pointillist principle In [11], Moon observed that, for a sequence of sufficiently smooth convolution operators and any q ≥ 1, the w... Read More about The Pointillist principle for variation operators and jump functions.

Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond (2024)
Journal Article
Hussain, B., Bacha, S. F. N., Cheema, A. A., Canberk, B., & Duong, T. Q. (2024). Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond. IEEE Open Journal of the Communications Society, 5, 5667-5679. https://doi.org/10.1109/ojcoms.2024.3450089

Unmanned aerial vehicles (UAVs) are envisioned to play a pivotal role in modern telecommunication and wireless sensor networks, offering unparalleled flexibility and mobility for communication and data collection in diverse environments. This paper p... Read More about Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond.

VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography (2024)
Presentation / Conference Contribution
Khan, M. S., Ahmad, J., Ali, M., Dubai, A. A., Pitropakis, N., & Buchanan, W. J. (2024, July). VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography. Presented at 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), Sousse, Tunisia

In this digital era, ensuring the security of data transmission is critically important. Digital data, especially image data, needs to be secured against unauthorized access. In this regards, this paper presents a robust image encryption scheme named... Read More about VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography.

A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry (2024)
Journal Article
Rashidi, A., Sarvari, H., Chan, D. W., Olawumi, T. O., & Edwards, D. J. (online). A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry. Engineering, Construction and Architectural Management, https://doi.org/10.1108/ecam-02-2024-0239

Purpose
This study provides a comprehensive analysis of the transition from Building Information Modelling (BIM) to digital twins (DT) in the construction industry. Specifically, the research explores the current state (themes and trends) and future... Read More about A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry.

Utilizing ubiquitous learning to foster sustainable development in rural areas: Insights from 6G technology (2024)
Journal Article
Liu, Y., Razman, M. R., Syed Zakaria, S. Z., Ern, L. K., Hussain, A., & Chamola, V. (2024). Utilizing ubiquitous learning to foster sustainable development in rural areas: Insights from 6G technology. Computers in Human Behavior, 161, Article 108418. https://doi.org/10.1016/j.chb.2024.108418

Rural education frequently grapples with demanding situations such as isolation, confined assets, and a virtual divide. The emergence of the sixth generation (6G) era, characterized by its speedy connectivity, minimal latency, and robust reliability,... Read More about Utilizing ubiquitous learning to foster sustainable development in rural areas: Insights from 6G technology.