All Outputs (257)

Novel Category Discovery without Forgetting for Automatic Target Recognition (2024)
Journal Article
Huang, H., Gao, F., Sun, J., Wang, J., Hussain, A., & Zhou, H. (2024). Novel Category Discovery without Forgetting for Automatic Target Recognition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 4408-4420. https://doi.org/10.1109/jstars.2024.3358449

We explore a cutting-edge concept known as C lass Incremental Learning in N ovel Category Discovery for Synthetic Aperture Radar T argets (CNT). This innovative task involves the challenge of identifying categories within unlabeled datasets by utiliz... Read More about Novel Category Discovery without Forgetting for Automatic Target Recognition.

Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms (2024)
Journal Article
Liang, T., Wu, Z., Lässig, J., van den Berg, D., Thomson, S. L., & Weise, T. (in press). Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms. Soft Computing, https://doi.org/10.1007/s00500-024-09718-8

Deep learning methods for early detection of Alzheimer’s disease using structural MR images: A survey (2024)
Journal Article
Hassen, S. B., Neji, M., Hussain, Z., Hussain, A., Alimi, A. M., & Frikha, M. (2024). Deep learning methods for early detection of Alzheimer’s disease using structural MR images: A survey. Neurocomputing, 576, Article 127325. https://doi.org/10.1016/j.neucom.2024.127325

In this paper, we present an extensive review of the most recent works for Alzheimer’s disease (AD) prediction, particularly Moderate Cognitive Impairment (MCI) conversion prediction. We aimed to identify the most useful brain-magnetic resonance imag... Read More about Deep learning methods for early detection of Alzheimer’s disease using structural MR images: A survey.

Energy efficiency considerations in software‐defined wireless body area networks (2024)
Journal Article
Masood, F., Khan, W. U., Alshehri, M. S., Alsumayt, A., & Ahmad, J. (2024). Energy efficiency considerations in software‐defined wireless body area networks. Engineering Reports, 6(3), Article e12841. https://doi.org/10.1002/eng2.12841

Wireless body area networks (WBAN) provide remote services for patient monitoring which allows healthcare practitioners to diagnose, monitor, and prescribe them without their physical presence. To address the shortcomings of WBAN, software-defined ne... Read More about Energy efficiency considerations in software‐defined wireless body area networks.

Investigation of efficiency and temperature dependence in RbGeBr3 -based Perovskite solar cell structures (2024)
Journal Article
Valizadeh, S., Shokri, A., Sabouri-Dodaran, A., Fough, N., & Muhammad Sukki, F. (2024). Investigation of efficiency and temperature dependence in RbGeBr3 -based Perovskite solar cell structures. Results in Physics, 57, Article 107351. https://doi.org/10.1016/j.rinp.2024.107351

This study is centered on the exploration of the inorganic perovskite material RbGeBr3 as an absorbing layer in various configurations of perovskite solar cells. The Poisson, continuity, and transport equations are solved using the finite element met... Read More about Investigation of efficiency and temperature dependence in RbGeBr3 -based Perovskite solar cell structures.

Stabilized quantum-enhanced SIEM architecture and speed-up through Hoeffding tree algorithms enable quantum cybersecurity analytics in botnet detection (2024)
Journal Article
Tehrani, M. G., Sultanow, E., Buchanan, W. J., Amir, M., Jeschke, A., Houmani, M., Chow, R., & Lemoudden, M. (2024). Stabilized quantum-enhanced SIEM architecture and speed-up through Hoeffding tree algorithms enable quantum cybersecurity analytics in botnet detection. Scientific Reports, 14, Article 1732. https://doi.org/10.1038/s41598-024-51941-8

For the first time, we enable the execution of hybrid quantum machine learning (HQML) methods on real quantum computers with 100 data samples and real-device-based simulations with 5000 data samples, thereby outperforming the current state of researc... Read More about Stabilized quantum-enhanced SIEM architecture and speed-up through Hoeffding tree algorithms enable quantum cybersecurity analytics in botnet detection.

Media Format Matters: User Engagement with Audio, Text and Video Tweets (2024)
Journal Article
Li, J., & Ensafjoo, M. (online). Media Format Matters: User Engagement with Audio, Text and Video Tweets. Journal of Radio & Audio Media, https://doi.org/10.1080/19376529.2024.2303482

A dataset of shortform audio-only tweets with video and text controls is used to analyze whether a tweet’s media format and topic influence user engagement with the tweet. Audio tweets were more engaging than text or video tweets by the same users, l... Read More about Media Format Matters: User Engagement with Audio, Text and Video Tweets.

Investigation of acousto-optic interaction with momentum mismatching considering acoustic anisotropy in birefringent crystal (2024)
Journal Article
Zheng, G., Lv, Z., Zhang, C., Zhang, Y., Li, J., Yang, S., & Wang, H. (2024). Investigation of acousto-optic interaction with momentum mismatching considering acoustic anisotropy in birefringent crystal. Optics express, 32(3), 3234. https://doi.org/10.1364/oe.514490

In this work, the momentum mismatching based on which the acousto-optic (AO) transfer function and diffraction efficiency was acquired, was calculated considering the properties of AO crystals in AO interactions in acousto-optic tunable filter (AOTF)... Read More about Investigation of acousto-optic interaction with momentum mismatching considering acoustic anisotropy in birefringent crystal.

Exploring advances in nanofiber-based face masks: a comprehensive review of mechanical, electrostatic, and antimicrobial functionality filtration for the removal of airborne particulate matter and pathogens (2024)
Journal Article
Le, B., Omran, N., Elnabawy, E., Hassanin, A. H., Mahmoud, K., Shehata, N., & Shyha, I. (2024). Exploring advances in nanofiber-based face masks: a comprehensive review of mechanical, electrostatic, and antimicrobial functionality filtration for the removal of airborne particulate matter and pathogens. Emergent Materials, 7(3), 765-800. https://doi.org/10.1007/s42247-023-00622-9

The filtration of airborne particulate matter (PM) and aerosols utilizing nonwoven fibrous materials has received significant research concern due to the continuing global pandemics, especially the outbreak of coronavirus disease (COVID-19), and part... Read More about Exploring advances in nanofiber-based face masks: a comprehensive review of mechanical, electrostatic, and antimicrobial functionality filtration for the removal of airborne particulate matter and pathogens.

SAR Target Incremental Recognition Based on Features With Strong Separability (2024)
Journal Article
Gao, F., Kong, L., Lang, R., Sun, J., Wang, J., Hussain, A., & Zhou, H. (2024). SAR Target Incremental Recognition Based on Features With Strong Separability. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. https://doi.org/10.1109/tgrs.2024.3351636

With the rapid development of deep learning technology, many synthetic aperture radar (SAR) target recognition algorithms based on convolutional neural networks have achieved exceptional performance on various datasets. However, conventional neural n... Read More about SAR Target Incremental Recognition Based on Features With Strong Separability.

Critical factors that influence lean premise design implementation: a case of Hong Kong high-rise buildings (2024)
Journal Article
Lam, E. W., Chan, A. P., Olawumi, T. O., Wong, I., & Kazeem, K. O. (online). Critical factors that influence lean premise design implementation: a case of Hong Kong high-rise buildings. Architectural Engineering and Design Management, https://doi.org/10.1080/17452007.2024.2302416

When a building design fails to meet the end-user's needs after construction, it is considered faulty. Faulty designs often lead to renovation, demolition, and material waste. This study aims to identify critical factors that influence the implementa... Read More about Critical factors that influence lean premise design implementation: a case of Hong Kong high-rise buildings.

On The Role of Dialogue Models in the Age of Large Language Models (2024)
Presentation / Conference Contribution
Wells, S., & Snaith, M. (2024). On The Role of Dialogue Models in the Age of Large Language Models. In Proceedings of the 23nd Workshop on Computational Models of Natural Argument (CMNA 2023) (49-51)

Tri-Band Endfire Antenna Array with Wide Angles of Beam-Scanning Capability for 5G mmWave Mobile Communication (2024)
Presentation / Conference Contribution
Zidour, A., Ayad, M., Alibakhshikenari, M., Basherlou, H. J., Parchin, N. O., & See, C. H. (2023, November). Tri-Band Endfire Antenna Array with Wide Angles of Beam-Scanning Capability for 5G mmWave Mobile Communication. Presented at 2023 IEEE TechDefense, Rome, Italy

In this paper, a novel multiband phased array antenna with endfire radiation pattern is designed at millimeter-wave (mmWave) frequency bands for 5G mobile applications. The proposed antenna element is a compact quasi-Yagi with a modified dipole drive... Read More about Tri-Band Endfire Antenna Array with Wide Angles of Beam-Scanning Capability for 5G mmWave Mobile Communication.

Sub 6 GHz Smartphone Antenna with Dual-Band Monopole Resonators for 5G Communications (2024)
Presentation / Conference Contribution
Jahanbakhsh Basherlou, H., Parchin, N. O., Alibakhshikenari, M., & See, C. H. (2023, November). Sub 6 GHz Smartphone Antenna with Dual-Band Monopole Resonators for 5G Communications. Presented at 2023 IEEE TechDefense, Rome, Italy

This study represents the schematic and fundamental features of a new MIMO antenna with low-profile elements and suitable characteristics for future cellular communications. Two rows of low-profile hook-shaped ring-monopole antennas with discrete-fed... Read More about Sub 6 GHz Smartphone Antenna with Dual-Band Monopole Resonators for 5G Communications.

An Efficient Computational Analysis and Modelling of Transferred Aerodynamic Loading on Direct-Drive System of 5 MW Wind Turbine and Results Driven Optimisation for a Sustainable Generator Structure (2024)
Journal Article
Szatkowski, S., Jaen-Sola, P., & Oterkus, E. (in press). An Efficient Computational Analysis and Modelling of Transferred Aerodynamic Loading on Direct-Drive System of 5 MW Wind Turbine and Results Driven Optimisation for a Sustainable Generator Structure. Sustainability, 16(2), Article 545. https://doi.org/10.3390/su16020545

The study presents an efficient computational investigation on the behaviour of the direct-drive system integrated into the offshore 5 MW NREL wind turbine model under demanding aerodynamic loading conditions with the aim of optimising and developing... Read More about An Efficient Computational Analysis and Modelling of Transferred Aerodynamic Loading on Direct-Drive System of 5 MW Wind Turbine and Results Driven Optimisation for a Sustainable Generator Structure.

Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper (2024)
Presentation / Conference Contribution
Sarker, I. H., Janicke, H., Maglaras, L., & Camtepe, S. (2023, October). Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper. Presented at Third International Conference, ARTIIS 2023, Madrid, Spain

As cyber threats evolve and grow progressively more sophisticated, cyber security is becoming a more significant concern in today’s digital era. Traditional security measures tend to be insufficient to defend against these persistent and dynamic thre... Read More about Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper.

Evolving Behavior Allocations in Robot Swarms (2024)
Presentation / Conference Contribution
Hallauer, S., Nitschke, G., & Hart, E. (2023, December). Evolving Behavior Allocations in Robot Swarms. Presented at IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City, Mexico

Behavioral diversity is known to benefit problem-solving in biological social systems such as insect colonies and human societies, as well as in artificial distributed systems including large-scale software and swarm-robotics systems. We investigate... Read More about Evolving Behavior Allocations in Robot Swarms.