All Outputs (4812)

Use of deep geothermal energy to supply heat to a village in Scotland (2025)
Journal Article
Penman, D., Muhammad-Sukki, F., Hawa Abu-Bakar, S., Aini Bani, N., & Abubakar Mas’ud, A. (2025). Use of deep geothermal energy to supply heat to a village in Scotland. Interactions, 246, Article 39. https://doi.org/10.1007/s10751-025-02265-0

This paper explores the possibility of utilising geothermal energy in an existing district heat network in the Aberdeenshire village of Banchory to provide hot water through the creation of a hypothetical geothermal well. It considers a simulated dee... Read More about Use of deep geothermal energy to supply heat to a village in Scotland.

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities (2025)
Journal Article
Yigit, Y., Amine Ferrag, M., Ghanem, M. C., Sarker, I. H., Maglaras, L. A., Chrysoulas, C., Moradpoor, N., Tihanyi, N., & Janicke, H. (in press). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. Sensors,

Critical National Infrastructures (CNIs)—including energy grids, water systems, 1 transportation networks, and communication frameworks—are essential to modern society 2 yet face escalating cybersecurity threats. This review paper comprehensively ana... Read More about Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities.

Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems (2025)
Journal Article
Moradpoor, N., Abah, E., Robles-Durazno, A., & Maglaras, L. (2025). Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems. Electronics, 14(3), Article 639. https://doi.org/10.3390/electronics14030639

Critical National Infrastructure includes large networks such as telecommunications, 11 transportation, health services, police, nuclear power plants, and utilities like clean water, gas, and 12 electricity. The protection of these infrastructures is... Read More about Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems.

Experiences of early assessment to teach functional programming (2025)
Journal Article
Chapman, P. (2025). Experiences of early assessment to teach functional programming. Journal of Functional Programming, 35, Article e4. https://doi.org/10.1017/S0956796824000182

This paper reports on the experiences of using an early assessment intervention, specifically employing a Use-Modify-Create scaffold, to teach first-year undergraduate functional programming. The particular intervention that was trialled was the use... Read More about Experiences of early assessment to teach functional programming.

Vortex generators in heat sinks: Design, optimisation, applications and future trends (2025)
Journal Article
Ismail, M., Ali, A. M., & Costa Pereira, S.-C. (2025). Vortex generators in heat sinks: Design, optimisation, applications and future trends. Results in Engineering, 25, Article 104216. https://doi.org/10.1016/j.rineng.2025.104216

Vortex generators (VGs) have been identified as an exceedingly effective method in augmenting heat transfer in minichannels, a significant feature of cutting-edge heat sinks, heat exchangers and electronics cooling tools. This paper aims to discuss t... Read More about Vortex generators in heat sinks: Design, optimisation, applications and future trends.

Dementia Friendly Buildings—Approach on Architectures (2025)
Journal Article
Ghamari, M., Suvish, Dehkordi, A. A., See, C. H., Sami, A., Yu, H., & Sundaram, S. (2025). Dementia Friendly Buildings—Approach on Architectures. Buildings, 15(3), Article 385. https://doi.org/10.3390/buildings15030385

Dementia's escalating incidence, coupled with its economic burden, highlights the need for architectural designs and forms that benefit people living with dementia. This research explores strategies and design principles that focus on establishing su... Read More about Dementia Friendly Buildings—Approach on Architectures.

Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H2) Energy Systems (2025)
Journal Article
Atteya, A. I., Ali, D., & Sellami, N. (2025). Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H2) Energy Systems. Energies, 18(3), Article 578. https://doi.org/10.3390/en18030578

Hybrid renewable-hydrogen energy systems offer a promising solution for meeting the globe’s energy transition and carbon neutrality goals. This paper presents a new multi-objective dynamic system model for the optimal sizing and simulation of hybrid... Read More about Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H2) Energy Systems.

Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection (2025)
Journal Article
Kalutharage, C. S., Mohan, S., Liu, X., & Chrysoulas, C. (2025). Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection. Electronics, 14(3), 474. https://doi.org/10.3390/electronics14030474

The rapid integration of connected technologies in modern vehicles has introduced significant cybersecurity challenges, particularly in securing critical systems against advanced threats such as IP spoofing and rule manipulation. This study investiga... Read More about Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection.

Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing (2025)
Journal Article
Eljakani, Y., Boulouz, A., & Thomson, C. (2025). Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing. Ad hoc networks, 170, Article 103769. https://doi.org/10.1016/j.adhoc.2025.103769

Wireless sensor networks (WSNs) present dynamic challenges in various environments, often requiring careful balance between conflicting Quality of Service (QoS) metrics to optimize stack parameters and enhance network performance. This paper introduc... Read More about Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing.

Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing (2025)
Journal Article
Zhao, L., Zhao, Z., Hawbani, A., Liu, Z., Tan, Z., & Yu, K. (online). Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing. IEEE Transactions on Computers, https://doi.org/10.1109/TC.2025.3533091

Mobile Edge Computing (MEC) is a distributed computing paradigm that provides computing capabilities at the periphery of mobile cellular networks. This architecture empowers Mobile Users (MUs) to offload computation-intensive applications to large-sc... Read More about Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing.

Dynamic properties of a class of forced positive higher-order scalar difference equations: persistency, stability and convergence (2025)
Journal Article
Franco, D., Guiver, C., Logemann, H., & Perán, J. (in press). Dynamic properties of a class of forced positive higher-order scalar difference equations: persistency, stability and convergence. Journal of Difference Equations and Applications, https://doi.org/10.1080/10236198.2025.2461530

Persistency, stability and convergence properties are considered for a class of nonlinear, forced, positive, scalar higher-order difference equations. Sufficient conditions for these properties to hold are derived, broadly in terms of the interplay o... Read More about Dynamic properties of a class of forced positive higher-order scalar difference equations: persistency, stability and convergence.

Passivity theorems for input-to-state stability of forced Lur'e inclusions and equations, and consequent entrainment-type properties (2025)
Journal Article
Guiver, C. (online). Passivity theorems for input-to-state stability of forced Lur'e inclusions and equations, and consequent entrainment-type properties. ESAIM: Control, Optimisation and Calculus of Variations, https://doi.org/10.1051/cocv/2025013

A suite of input-to-state stability results are presented for a class of forced differential inclusions, so-called Lur’e inclusions. As a consequence, semi-global incremental input-to-state stability results for systems of forced Lur’e differential e... Read More about Passivity theorems for input-to-state stability of forced Lur'e inclusions and equations, and consequent entrainment-type properties.

2D metal-organic framework Cu3(HHTP)2 composite electrode for flexible energy storage applications (2025)
Journal Article
Prince, M., Kanathedath, J., Paul, F., Markapudi, P. R., Beg, M., Paterson, L., Desmulliez, M. P., Pillai, S. C., & Manjakkal, L. (2025). 2D metal-organic framework Cu3(HHTP)2 composite electrode for flexible energy storage applications. Journal of Power Sources, 631, Article 236214. https://doi.org/10.1016/j.jpowsour.2025.236214

Hydrothermally synthesized 2D metal-organic framework (MOF) Cu3(HHTP)2 was modified with carbon black (CB) and poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT: PSS) to develop a flexible energy storage device. The efficiency of electro... Read More about 2D metal-organic framework Cu3(HHTP)2 composite electrode for flexible energy storage applications.

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.

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.

GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks (2025)
Journal Article
Duran, K., Shin, H., Duong, T. Q., & Canberk, B. (online). GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks. IEEE Transactions on Cognitive Communications and Networking, 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.

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. (online). Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage. Small, 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.

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.

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 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.