All Outputs (11630)

NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction (2025)
Journal Article
Ademola, A., Sinclair, D., Koniaris, B., Hannah, S., & Mitchell, K. (2025). NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction. Computers and Graphics, 129, Article 104244. https://doi.org/10.1016/j.cag.2025.104244

Advancements in prediction of human motion sequences are critical for enabling online virtual reality (VR) users to dance and move in ways that accurately mirror real-world actions, delivering a more immersive and connected experience. However, laten... Read More about NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction.

Real-time Multimodal Speech Enhancement Model, an AI assisted audio-visual hearing aid (2025)
Patent
Gogate, M., & Hussain, A. Real-time Multimodal Speech Enhancement Model, an AI assisted audio-visual hearing aid

Hotspots in lithium-ion battery pouch cells: Models and bounds (2025)
Presentation / Conference Contribution
Drummond, R., Guiver, C., Turner, M. C., Tredenick, E. C., & Duncan, S. R. (2025, August). Hotspots in lithium-ion battery pouch cells: Models and bounds. Presented at The 9th IEEE Conference on Control Technology and Applications (CCTA) 2025, San Diego, CA, USA

Lithium-ion batteries have grown larger in recent years in response to the need to increase pack-level energy densities. One of the main issues that emerges in these large format cells are heterogeneities. In particular, temperature hotspots in large... Read More about Hotspots in lithium-ion battery pouch cells: Models and bounds.

Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization (2025)
Presentation / Conference Contribution
Phong Pham, V., Van Huynh, D., McNiven, B. D. E., Canberk, B., Dobre, O. A., & Duong, T. Q. (2025, March). Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization. Presented at IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), Nara, Japan

This paper proposes a joint optimal design for speed and routing in maritime transportation systems with quantum optimization, which will play a crucial role in global trade and logistics. Efficient maritime transportation design is essential for red... Read More about Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization.

Strategic partnership for Health in All Policies and sustainable transport in Scotland: a case study evaluation (2025)
Journal Article
Douglas, M. J., Gale, A., Hrzic, R., Clemens, T., & Davis, A. L. (2025). Strategic partnership for Health in All Policies and sustainable transport in Scotland: a case study evaluation. Public Health in Practice, 9, Article 100624. https://doi.org/10.1016/j.puhip.2025.100624

Background
Health in All Policies aims to ensure policy decisions across sectors improve health and health equity. Principles of a Health in All Policies approach have been defined as Governance, Comprehensive approach to health, Collaboration, Equi... Read More about Strategic partnership for Health in All Policies and sustainable transport in Scotland: a case study evaluation.

A Decision Support Model for Efficient Garment Reprocessing for a Sustainable Circular Business Model (2025)
Journal Article
Patel, H., Vasantha, G., Corney, J., Quigley, J., Raoui, H. E., Sales, R., Cusack, M., Burns, A., & Rough, A. (in press). A Decision Support Model for Efficient Garment Reprocessing for a Sustainable Circular Business Model. International Journal of Advanced Manufacturing Technology,

The rapidly growing fashion business has intensified environmental, and sustainability concerns due to its focus on high-volume production at low costs. The rental-based business models in the circular economy, by promoting alternative approach of ga... Read More about A Decision Support Model for Efficient Garment Reprocessing for a Sustainable Circular Business Model.

The role of annealing in enhancing crystallinity, mechanical properties, piezoelectricity, and air filtration performance of polylactic acid nanofibers (2025)
Journal Article
Elnabawy, E., Sun, D., Shearer, N., Toptaş, A., Kılıç, A., & Shyha, I. (2025). The role of annealing in enhancing crystallinity, mechanical properties, piezoelectricity, and air filtration performance of polylactic acid nanofibers. Materials Chemistry and Physics, 343, Article 131000. https://doi.org/10.1016/j.matchemphys.2025.131000

Annealing is a widely adopted post-treatment technique for enhancing the properties of nanofibers without altering their chemical structure. This study investigates the effect of annealing on the surface morphology, crystallinity, mechanical properti... Read More about The role of annealing in enhancing crystallinity, mechanical properties, piezoelectricity, and air filtration performance of polylactic acid nanofibers.

A computational framework for quantifying blood flow dynamics across myogenically-active cerebral arterial networks (2025)
Journal Article
Coccarelli, A., Polydoros, I., Drysdale, A., Harraz, O. F., & Kadapa, C. (2025). A computational framework for quantifying blood flow dynamics across myogenically-active cerebral arterial networks. Biomechanics and Modeling in Mechanobiology, 24(3), 1123-1140. https://doi.org/10.1007/s10237-025-01958-3

Cerebral autoregulation plays a key physiological role by limiting blood flow changes in the face of pressure fluctuations. Although the underlying vascular cellular processes are chemo-mechanically driven, estimating the associated haemodynamic forc... Read More about A computational framework for quantifying blood flow dynamics across myogenically-active cerebral arterial networks.

Inverse analysis for dynamic characteristics of a historic Masonry Pagoda using segmental low-amplitude earthquake vibrations (2025)
Journal Article
Hansapinyo, C., Buachart, C., Sinsabvarodom, C., Tantrapongsaton, W., Sae-Long, W., Limkatanyu, S., Zhang, H., Ghanbari-Ghazijahani, T., & Vimonsatit, V. (2025). Inverse analysis for dynamic characteristics of a historic Masonry Pagoda using segmental low-amplitude earthquake vibrations. npj Heritage Science, 13(1), Article 146. https://doi.org/10.1038/s40494-025-01738-3

Historical structures are inherently prone to degradation, necessitating structural health monitoring for their preservation. This study proposes an inverse analysis methodology to determine structural dynamic properties, offering insights into funda... Read More about Inverse analysis for dynamic characteristics of a historic Masonry Pagoda using segmental low-amplitude earthquake vibrations.

Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks (2025)
Presentation / Conference Contribution
Al-Shareeda, S., Ozguner, F., Redmill, K., Duong, T. Q., & Canberk, B. (2025, March). Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy

Task offloading management in 6G vehicular net-works is crucial for maintaining network efficiency, particularly as vehicles generate substantial data. Integrating secure communication through authentication introduces additional computational and co... Read More about Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks.

Digital Twin-Based Collaborative Management for Energy-Aware 6G IoT Systems (2025)
Presentation / Conference Contribution
Duran, K., & Canberk, B. (2025, March). Digital Twin-Based Collaborative Management for Energy-Aware 6G IoT Systems. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy

Even though the emergence of 6G IoT systems has accelerated the deployment of hyper-connected networks, the inherent resource limitations of IoT sensors remain a significant problem. In addition, maintaining energy efficiency and low response times i... Read More about Digital Twin-Based Collaborative Management for Energy-Aware 6G IoT Systems.

Scenario Emulator for Intelligent Applications With IoT-DT Architecture (2025)
Presentation / Conference Contribution
Cakir, L. V., & Canberk, B. (2025, March). Scenario Emulator for Intelligent Applications With IoT-DT Architecture. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy

Digital Twins (DTs) have become indispensable in 6G for intelligent applications with real-time monitoring, modelling, and optimization. However, validating them in real-world conditions using IoT integration remained a significant challenge. Due to... Read More about Scenario Emulator for Intelligent Applications With IoT-DT Architecture.

Deploying Agrivoltaics in Sub-Saharan Africa: A Sustainable Pathway Towards Energy-Food Security-Challenges and Opportunities: A Review (2025)
Journal Article
Abubakar, S. I., See, C. H., Sukki, F. M., Mahendiran, R., Sundaram, S., Abidin, M. I. Z., & Kamarudin, M. K. A. (2025). Deploying Agrivoltaics in Sub-Saharan Africa: A Sustainable Pathway Towards Energy-Food Security-Challenges and Opportunities: A Review. IEEE Access, 13, 87810-87833. https://doi.org/10.1109/access.2025.3568717

Agrivoltaics (APV) offer an innovative solution to the pressing energy and food security challenges in Sub-Saharan Africa (SSA). Over 600 million people in this region lack access to energy, and food insecurity remains pervasive. By combining photovo... Read More about Deploying Agrivoltaics in Sub-Saharan Africa: A Sustainable Pathway Towards Energy-Food Security-Challenges and Opportunities: A Review.

Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks (2025)
Presentation / Conference Contribution
Yigit, Y., Gursu, K., Al-Dubai, A., Maglaras, L. A., & Canberk, B. (2025, March). Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy

With the development of software-defined edge networks, network management has become more flexible and realtime. However, this advancement has also led to critical security concerns, especially when detecting attacks efficiently in resourceconstrain... Read More about Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks.

A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT (2025)
Journal Article
Alshehri, M. S., Saidani, O., Al Malwi, W., Asiri, F., Latif, S., Khattak, A. A., & Ahmad, J. (2025). A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT. Computer Modeling in Engineering & Sciences, 143(3), 3899-3920. https://doi.org/10.32604/cmes.2025.064874

The emergence of Generative Adversarial Network (GAN) techniques has garnered significant attention from the research community for the development of Intrusion Detection Systems (IDS). However, conventional GAN-based IDS models face several challeng... Read More about A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT.

Computational analysis of an ammonia-fuelled hybrid solid oxide fuel cell–gas turbine propulsion system for commercial aviation (2025)
Journal Article
Wagner, L., & Tingas, E.-A. (2025). Computational analysis of an ammonia-fuelled hybrid solid oxide fuel cell–gas turbine propulsion system for commercial aviation. Energy Conversion and Management, 336, Article 119861. https://doi.org/10.1016/j.enconman.2025.119861

This study investigates the performance of a hybrid solid oxide fuel cell–gas turbine (SOFC-GT) propulsion system for commercial aviation, using ammonia–hydrogen blends as fuel. A computational model was developed by combining NASA’s T-MATS toolbox w... Read More about Computational analysis of an ammonia-fuelled hybrid solid oxide fuel cell–gas turbine propulsion system for commercial aviation.

Probing the co-evolution of Supermassive Black Holes and their hosts from scaling relations pairwise residuals: dominance of stellar velocity dispersion and host halo mass (2025)
Journal Article
Shankar, F., Bernardi, M., Roberts, D., Arana-Catania, M., Grubenmann, T., Habouzit, M., Smith, A., Marsden, C., Varadarajan, K. M., Alonso Tetilla, A. V., Anglés-Alcázar, D., Boco, L., Farrah, D., Fu, H., Haniewicz, H., Lapi, A., Lovell, C. C., Menci, N., Powell, M., & Ricci, F. (2025). Probing the co-evolution of Supermassive Black Holes and their hosts from scaling relations pairwise residuals: dominance of stellar velocity dispersion and host halo mass. Monthly Notices of the Royal Astronomical Society, 541(2), 2070-2092. https://doi.org/10.1093/mnras/staf747

The correlations between supermassive black holes (SMBHs) and their host galaxies still defy our understanding from both the observational and theoretical perspectives. Here, we perform pairwise residual analysis on the latest sample of local inactiv... Read More about Probing the co-evolution of Supermassive Black Holes and their hosts from scaling relations pairwise residuals: dominance of stellar velocity dispersion and host halo mass.

Closed-Form Pathloss Formulation for IRS-Assisted 6G Wireless Networks (2025)
Presentation / Conference Contribution
Karadimas, P. (2025, January). Closed-Form Pathloss Formulation for IRS-Assisted 6G Wireless Networks. Presented at 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA

Intelligent reflecting surfaces (IRSs) are smart devices that can manipulate electromagnetic wave propagation to optimize performance of future 6G wireless networks. In IRS-assisted wireless communications, one of the most important performance metri... Read More about Closed-Form Pathloss Formulation for IRS-Assisted 6G Wireless Networks.

MMST-LSTM: Leveraging Radar Echo Prediction for Emerging Consumer Applications in Edge Computing (2025)
Journal Article
Wu, M., Xiao, B., Yang, Z., Sun, J., Liu, Q., Zhang, Y., & Liu, X. (online). MMST-LSTM: Leveraging Radar Echo Prediction for Emerging Consumer Applications in Edge Computing. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/TCE.2025.3566725

With the increasing frequency of extreme weather events, there is a growing demand from the public for rapid and accurate short-term heavy precipitation forecasts. This study proposes a lightweight deep learning model, MMST-LSTM, which integrates Mul... Read More about MMST-LSTM: Leveraging Radar Echo Prediction for Emerging Consumer Applications in Edge Computing.

XAI for Algorithm Configuration and Selection (2025)
Book Chapter
Thomson, S. L., Hart, E., & Renau, Q. (2025). XAI for Algorithm Configuration and Selection. In N. van Stein, & A. V. Kononova (Eds.), Explainable AI for Evolutionary Computation. Springer. https://doi.org/10.1007/978-981-96-2540-6_6

In this chapter, we consider, formalise, and demonstrate the ways in which XAI can assist or inform algorithm selection and configuration. Reviewing the literature, we notice and taxonomise a much broader and more diverse notion of XAI than is typica... Read More about XAI for Algorithm Configuration and Selection.