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All Outputs (11551)

Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response (2025)
Journal Article
Kalutharage, C. S., Liu, X., & Chrysoulas, C. (2025). Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response. Computers and Security, 151, Article 104318. https://doi.org/10.1016/j.cose.2025.104318

In the dynamic landscape of network security, where cyberattacks continuously evolve, robust and adaptive detection mechanisms are essential, particularly for safeguarding Internet of Things (IoT) networks. This paper introduces an advanced anomaly d... Read More about Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response.

Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils (2025)
Journal Article
Leak, J., Dimitriadi, V., Barreto, D., Bernal-Sanchez, J., & Imre, E. (2025). Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils. Cold Regions Science and Technology, 231, Article 104423. https://doi.org/10.1016/j.coldregions.2025.104423

Susceptibility to frost action in soils is an important consideration in cold and seasonably cold regions. Whilst the particle size distribution (PSD) is commonly used to measure susceptibility to frost action, this method is typically seen as unreli... Read More about Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils.

Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage (2025)
Journal Article
Nair, K. M., Ajith, S., Paul, F., Pallilavalappil, S., Thomas, N., Hinder, S. J., Manjakkal, L., & Pillai, S. C. (2025). Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage. Small, 21(7), Article 2409959. https://doi.org/10.1002/smll.202409959

The rising demand for efficient energy storage in flexible electronics is driving the search for materials that are well‐suited for the fabrication of these devices. Layered Double Hydroxides (LDHs) stand out as a remarkable material with a layered s... Read More about Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage.

GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks (2025)
Journal Article
Duran, K., Shin, H., Duong, T. Q., & Canberk, B. (2025). GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks. IEEE Transactions on Cognitive Communications and Networking, 11(2), 1053-1063. https://doi.org/10.1109/tccn.2025.3527719

The dramatic increase in smart services makes adaptive management of communication networks more critical. Especially for Internet of Things (IoT) networks, adaptive management faces several challenges, like fluctuating network conditions, heterogene... Read More about GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks.

IoT Authentication Protocols: Challenges, and Comparative Analysis (2025)
Journal Article
Alsheavi, A., Hawbani, A., Othman, W., Wang, X., Qaid, G. R. S., Zhao, L., Al-Dubai, A., Liu, Z., Ismail, A., Haveri, R. H., Alsamhi, S. H., & Al-Qaness, M. A. A. (2025). IoT Authentication Protocols: Challenges, and Comparative Analysis. ACM computing surveys, 57(5), Article 116. https://doi.org/10.1145/3703444

In the ever-evolving information technology landscape, the Internet of Things (IoT) is a groundbreaking concept that bridges the physical and digital worlds. It is the backbone of an increasingly sophisticated interactive environment, yet it is a sub... Read More about IoT Authentication Protocols: Challenges, and Comparative Analysis.

A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease (2025)
Journal Article
Iqbal, S., Qureshi, A. N., Alhussein, M., Aurangzeb, K., Zubair, M., & Hussain, A. (2025). A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease. Expert Systems, 42(2), Article e13825. https://doi.org/10.1111/exsy.13825

Chronic kidney disease (CKD) is a major global health concern caused mostly by high blood pressure and glucose levels. Detecting CKD early is critical for reducing its negative consequences since it can lead to increased mortality rates. With CKD's r... Read More about A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease.

A Multi-Tier Offloading Optimization Strategy for Consumer Electronics in Vehicular Edge Computing (2025)
Journal Article
Lin, H., Xiao, B., Zhou, X., Zhang, Y., & Liu, X. (2025). A Multi-Tier Offloading Optimization Strategy for Consumer Electronics in Vehicular Edge Computing. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2025.3527043

In the domain of consumer electronics, vehicular edge computing (VEC) technology is emerging as a novel data processing paradigm within vehicular networks. By sending tasks related to vehicular applications to the edge, this model makes it easier for... Read More about A Multi-Tier Offloading Optimization Strategy for Consumer Electronics in Vehicular Edge Computing.

Discrete Element Study of Particle Size Distribution Shape Governing Critical State Behavior of Granular Material (2025)
Journal Article
Jiang, M., Barreto, D., Ding, Z., & Yang, K. (2025). Discrete Element Study of Particle Size Distribution Shape Governing Critical State Behavior of Granular Material. Fractal and Fractional, 9(1), Article 26. https://doi.org/10.3390/fractalfract9010026

Granular soil is a porous medium composed of particles with different sizes and self-similar structures, exhibiting fractal characteristics. It is well established that variations in these fractal properties, such as particle size distribution (PSD),... Read More about Discrete Element Study of Particle Size Distribution Shape Governing Critical State Behavior of Granular Material.

Computational Investigation of Laminar Premixed Hydrogen/Ammonia Flames at Sub-Atmospheric Conditions (2025)
Presentation / Conference Contribution
Tule, D., & Tingas, E.-A. (2025, January). Computational Investigation of Laminar Premixed Hydrogen/Ammonia Flames at Sub-Atmospheric Conditions. Presented at AIAA SCITECH 2025 Forum, Orlando, Florida

The increasing urgency to address global warming has highlighted the need to explore alternative fuels for the transport sector, a significant contributor to carbonemissions. Hydrogen and ammonia have emerged as promising candidates, each with distin... Read More about Computational Investigation of Laminar Premixed Hydrogen/Ammonia Flames at Sub-Atmospheric Conditions.

Risk factors for overtaking, rear-end, and door crashes involving bicycles in the United Kingdom: Revisited and reanalysed (2025)
Journal Article
Chao, C.-C., Ma, H.-P., Wei, L., Lin, Y.-N., Chen, C., Saleh, W., Wiratama, B. S., Widodo, A. F., Hsu, S.-C., Ko, S. Y., Lin, H.-A., Chan, C.-W., & Pai, C.-W. (2025). Risk factors for overtaking, rear-end, and door crashes involving bicycles in the United Kingdom: Revisited and reanalysed. PLOS ONE, 20(1), Article e0315692. https://doi.org/10.1371/journal.pone.0315692

Background and objective: Relevant research has provided valuable insights into risk factors for bicycle crashes at intersections. However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rea... Read More about Risk factors for overtaking, rear-end, and door crashes involving bicycles in the United Kingdom: Revisited and reanalysed.

Audio Occlusion Experiment Data (2025)
Data
McSeveney, S., Tamariz, M., McGregor, I., Koniaris, B., & Mitchell, K. (2025). Audio Occlusion Experiment Data. [Data]

This dataset comprises anonymous user study participant responses of audio occlusion to investigate presence response of body occlusions in the presence of sound sources in the direct path between the person and the audio driver speaker.

A Computational Study of a Solid Oxide Fuel Cell-Turbofan Engine Hybrid Propulsion System Fueled by Ammonia and Hydrogen (2025)
Presentation / Conference Contribution
Wagner, L., & Tingas, E.-A. (2025, January). A Computational Study of a Solid Oxide Fuel Cell-Turbofan Engine Hybrid Propulsion System Fueled by Ammonia and Hydrogen. Presented at AIAA SCITECH 2025 Forum, Orlando, Florida

This study presents the theoretical evaluation of a hybrid aero-propulsion system that combines a Solid Oxide Fuel Cell (SOFC) with a commercial turbofan engine (JT9D), fuelled by an ammonia and hydrogen fuel blend, the latter produced by an onboard... Read More about A Computational Study of a Solid Oxide Fuel Cell-Turbofan Engine Hybrid Propulsion System Fueled by Ammonia and Hydrogen.

An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation (2025)
Presentation / Conference Contribution
Stone, C., Renau, Q., Miguel, I., & Hart, E. (2024, June). An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. Presented at 18th Learning and Intelligent Optimization Conference, Ischia, Italy

We address the question of multi-task algorithm selection in combinatorial optimisation domains. This is motivated by a desire to simplify the algorithm-selection pipeline by developing a more general classifier that does not require specialised info... Read More about An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation.

Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization (2025)
Presentation / Conference Contribution
Karakaya, S. S., Sarı, T., Ak, E., Canberk, B., & Seçinti, G. (2024, September). Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization. Presented at 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain

Coordinated beamforming is one of the crucial improvements for WiFi7. However, to provide sufficient Quality of Service, the corresponding beams have to be aligned accurately. Conventional approaches search for optimal beams in the available codebook... Read More about Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization.

Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode (2024)
Presentation / Conference Contribution
Buchanan, W., Grierson, S., & Uribe, D. (2024, February). Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode. Presented at 10th International Conference on Information Systems Security and Privacy, Rome, Italy

Biometric data is often highly sensitive, and a leak of this data can lead to serious privacy breaches. Some of the most sensitive of this type of data relates to the usage of DNA data on individuals. A leak of this type of data without consent could... Read More about Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.

How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction (2024)
Presentation / Conference Contribution
Orme, M., Yu, Y., & Tan, Z. (2024, May). How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction. Presented at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy

This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and robots transition from controlled laboratory settings to everyday households... Read More about How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.

Participatory Explorations in the Techno-Spiritual (2024)
Presentation / Conference Contribution
Grandison, T. (2024, June). Participatory Explorations in the Techno-Spiritual. Presented at The 22nd European Conference on Computer-Supported Cooperative Work, Rimini, Italy

This exploratory paper presents a pilot study conducted with 64 undergraduate students at Edinburgh Napier University in November 2023. The aim of this study was to understand how people who do not necessarily identify as religious engaged in what th... Read More about Participatory Explorations in the Techno-Spiritual.

ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks (2024)
Journal Article
Momand, A., Jan, S. U., & Ramzan, N. (in press). ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks. Wireless Personal Communications, 136(4), 1981-2003. https://doi.org/10.1007/s11277-024-11260-7

This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention mechanism that aids in the learning process for low-instance classes. On the... Read More about ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks.