Outputs (609)

DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation (2024)
Journal Article
Zhai, C., Yang, L., Liu, Y., & Yu, H. (2024). DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation. IEEE Transactions on Instrumentation and Measurement, 73, Article 2512316. https://doi.org/10.1109/tim.2024.3379418

In the early prevention stage of colorectal cancer, the utilization of automatic polyp segmentation techniques from colonoscopy images has demonstrated efficacy in mitigating the misdiagnosis rate. Nonetheless, accurate polyp segmentation is always a... Read More about DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation.

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? (2024)
Presentation / Conference Contribution
Al-Shareeda, S., Oktug, S. F., Yaslan, Y., Yurdakul, G., & Canberk, B. (2024, January). Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?. Presented at 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA

This paper investigates the potential of Digital Twins (DTs) to enhance network performance in densely populated urban areas, specifically focusing on vehicular networks. The study comprises two phases. In Phase I, we utilize traffic data and AI clus... Read More about Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?.

Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks (2024)
Journal Article
Bhatti, D. S., Saleem, S., Ali, Z., Park, T.-J., Suh, B., Kamran, A., Buchanan, W. J., & Kim, K.-I. (2024). Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks. IEEE Access, 12, 41499-41516. https://doi.org/10.1109/access.2024.3377144

Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from malicious energy drainage attacks, particularly those directed at the routing layer. The complexity increases during critical operations like cluster head select... Read More about Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks.

Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis (2024)
Presentation / Conference Contribution
Pons-Llinares, J., Quijano-López, A., Bonet-Jara, J., & Vedreño-Santos, F. (2024, May). Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis. Presented at Electrimacs 2024, Castellón de la Plana, Spain

Early detection of faults in electric motors is crucial to prevent unplanned downtime and expensive repairs. Transient analysis through time-frequency transforms reveals important information on the motor condition. Computational time of these transf... Read More about Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis.

Novel Aperture Antenna Array Design for Indoor Localisation UWB Radar Technologies (2024)
Presentation / Conference Contribution
Ahmed, I., Aldelemy, A., Ismail, A. S., See, C. H., Ghareeb, M. F., Nafea,, S., Oda, E., & Abd-Alhameed, R. A. (2024, May). Novel Aperture Antenna Array Design for Indoor Localisation UWB Radar Technologies. Presented at 14th International Conference on Electrical Engineering (ICEENG), Cairo, Egypt

Cluster-based oversampling with area extraction from representative points for class imbalance learning (2024)
Journal Article
Farou, Z., Wang, Y., & Horváth, T. (2024). Cluster-based oversampling with area extraction from representative points for class imbalance learning. Intelligent Systems with Applications, 22, Article 200357. https://doi.org/10.1016/j.iswa.2024.200357

Class imbalance learning is challenging in various domains where training datasets exhibit disproportionate samples in a specific class. Resampling methods have been used to adjust the class distribution, but they often have limitations for small dis... Read More about Cluster-based oversampling with area extraction from representative points for class imbalance learning.

PHASER: Perceptual Hashing Algorithms Evaluation and Results -an Open Source Forensic Framework (2024)
Presentation / Conference Contribution
Mckeown, S., Aaby, P., & Steyven, A. PHASER: Perceptual Hashing Algorithms Evaluation and Results -an Open Source Forensic Framework. Presented at DFRWS EU 2024, Zaragoza, Spain

The automated comparison of visual content is a contemporary solution to scale the detection of illegal media and extremist material, both for detection on individual devices and in the cloud. However, the problem is difficult, and perceptual similar... Read More about PHASER: Perceptual Hashing Algorithms Evaluation and Results -an Open Source Forensic Framework.

Wideband Endfire Antenna Array for 5G mmWave Mobile Terminals (2024)
Journal Article
Zidour, A., Ayad, M., Alibakhshikenari, M., See, C. H., Lai, Y.-X., Ma, Y., Guenad, B., Livreri, P., Khan, S., Pau, G., & Denidni, T. A. (2024). Wideband Endfire Antenna Array for 5G mmWave Mobile Terminals. IEEE Access, 12, 39926-39935. https://doi.org/10.1109/ACCESS.2023.0322000

In this paper, a compact endfire antenna array with low-profile, small clearance, and wideband operation is proposed for millimeter-wave (mmWave) fifth-generation (5G) mobile terminals. The wideband operation is achieved by exciting two identical bow... Read More about Wideband Endfire Antenna Array for 5G mmWave Mobile Terminals.

A Stiffness Approach for Coupling Structural and Magnetic Models for the Sustainable Design, Optimisation and Real-Time Structural Integrity Assessment of Radial Flux Permanent Magnet Generators for Direct-Drive Wind Turbines (2024)
Journal Article
McDonald, A., & Jaen-Sola, P. (2024). A Stiffness Approach for Coupling Structural and Magnetic Models for the Sustainable Design, Optimisation and Real-Time Structural Integrity Assessment of Radial Flux Permanent Magnet Generators for Direct-Drive Wind Turbines. Sustainability, 16(6), Article 2393. https://doi.org/10.3390/su16062393

The mass of a direct-drive generator is often defined by the requirements for structural stiffness to meet the magnetic stiffness between the rotor and stator surfaces. This paper analyses this magnetic stiffness and estimates the structural stiffnes... Read More about A Stiffness Approach for Coupling Structural and Magnetic Models for the Sustainable Design, Optimisation and Real-Time Structural Integrity Assessment of Radial Flux Permanent Magnet Generators for Direct-Drive Wind Turbines.

A spatio-temporal graph convolutional approach to real-time load forecasting in an edge-enabled distributed Internet of Smart Grids energy system (2024)
Journal Article
Liu, Q., Pan, L., Cao, X., Gan, J., Huang, X., & Liu, X. (2024). A spatio-temporal graph convolutional approach to real-time load forecasting in an edge-enabled distributed Internet of Smart Grids energy system. Concurrency and Computation: Practice and Experience, 36(13), Article e8060. https://doi.org/10.1002/cpe.8060

As the edge nodes of the Internet of Smart Grids (IoSG), smart sockets enable all kinds of power load data to be analyzed at the edge, which create conditions for edge calculation and real-time (RT) load forecasting. In this article, an edge-cloud co... Read More about A spatio-temporal graph convolutional approach to real-time load forecasting in an edge-enabled distributed Internet of Smart Grids energy system.