All Outputs (11149)

DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement (2024)
Journal Article
Gao, Z., Yang, J., Jiang, F., Jiao, X., Dashtipour, K., Gogate, M., & Hussain, A. (2024). DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement. Knowledge-Based Systems, 297, Article 111977. https://doi.org/10.1016/j.knosys.2024.111977

Vision-guided Autonomous Underwater Vehicles (AUVs) have gradually become significant tools for human exploration of the ocean. However, distorted images severely limit the visual ability, making it difficult to meet the needs of complex underwater e... Read More about DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement.

Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors (2024)
Journal Article
Soheli, S. N., Lu, Z., Sun, D., & Shyha, I. (2024). Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors. Ceramics, 7(2), 712-734. https://doi.org/10.3390/ceramics7020047

The burgeoning significance of antiferroelectric (AFE) materials, particularly as viable candidates for electrostatic energy storage capacitors in power electronics, has sparked substantial interest. Among these, lead-free sodium niobate (NaNbO3) AFE... Read More about Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors.

ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT (2024)
Presentation / Conference Contribution
Huma, Z. E., Ahmad, J., Hamadi, H. A., Ghaleb, B., Buchanan, W. J., & Jan, S. U. (2024, February). ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT. Presented at 2024 2nd International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates

The Internet of Things (IoT) has become an integral part of modern societies, with devices, networks, and applications offering industrial, economic, and social benefits. However, these devices and networks generate vast amounts of data, making them... Read More about ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT.

Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects (2024)
Journal Article
Sarker, I. H., Janicke, H., Mohsin, A., Gill, A., & Maglaras, L. (2024). Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects. ICT Express, 10(4), 935-958. https://doi.org/10.1016/j.icte.2024.05.007

Digital twins (DTs) are an emerging digitalization technology with a huge impact on today’s innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical s... Read More about Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects.

Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing (2024)
Presentation / Conference Contribution
Babaghayou, M., Chaib, N., Maglaras, L., Yigit, Y., Ferrag, M. A., & Marsh, C. (2023, December). Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing. Presented at 16th EAI International Conference, WiCON 2023, Athens, Greece

In an era of rapidly evolving mobile computing, integrating satellite technologies with the Internet of Things (IoT) creates new communication and data management horizons. Our research focuses on the emerging challenge of efficiently managing heavy... Read More about Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing.

Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles (2024)
Journal Article
Zhao, L., Qian, H., Hawbani, A., Al-Dubai, A. Y., Tan, Z., Yu, K., & Zomaya, A. Y. (online). Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2024.3398602

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly to modern transportation. The integration of Vehicle-to-Everything (V2X) further elevates road safety and fost... Read More about Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles.

A novel intelligent optimal control methodology for energy balancing of microgrids with renewable energy and storage batteries (2024)
Journal Article
Alghamdi, H., Khan, T. A., Hua, L.-G., Hafeez, G., Khan, I., Ullah, S., & Khan, F. A. (2024). A novel intelligent optimal control methodology for energy balancing of microgrids with renewable energy and storage batteries. Journal of Energy Storage, 90, Article 111657. https://doi.org/10.1016/j.est.2024.111657

A price-based demand response (DR) program is essential for maintaining energy balance in a smart power grid (SPG). Given the uncertainty and stochastic nature of renewable energy sources (RESs) and loads, dynamic pricing strategies are required to m... Read More about A novel intelligent optimal control methodology for energy balancing of microgrids with renewable energy and storage batteries.

Materialising data – getting to grips with slippery concepts (2024)
Presentation / Conference Contribution
Smyth, M., Panneels, I., McDonald, C., & Helgason, I. (2024, May). Materialising data – getting to grips with slippery concepts. Presented at P/references of Design. Cumulus Budapest 2024, Budapest, Hungary

Data is ubiquitous in the 21st century, we voraciously create and consume it, it can be the driver of innovation and the lens through which we view the world. But data is a slippery, shapeshifting material that can take a myriad of forms which makes... Read More about Materialising data – getting to grips with slippery concepts.

Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak (2024)
Journal Article
Tan, G., Afrouzi, H. N., Ahmed, J., Hassan, A., & Sukki, F. M. (2024). Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak. Future Sustainability, 2(2), 20-26. https://doi.org/10.55670/fpll.fusus.2.2.3

Solar energy is one of the clean renewable energy sources that can offset the rising consumption of fossil fuels. However, the meteorological parameters, such as solar irradiance, ambient and solar module temperatures, relative humidity, etc., consta... Read More about Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak.

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques (2024)
Journal Article
Sun, C., Fontanesi, G., Canberk, B., Mohajerzadeh, A., Chatzinotas, S., Grace, D., & Ahmadi, H. (2024). Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques. IEEE Open Journal of Vehicular Technology, 5, 825-854. https://doi.org/10.1109/ojvt.2024.3401024

This paper provides a comprehensive overview of the evolution of Machine Learning (ML), from traditional to advanced, in its application and integration into unmanned aerial vehicle (UAV) communication frameworks and practical applications. The manus... Read More about Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques.

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer (2024)
Journal Article
Wang, F., Shi, X., Yang, F., Song, R., Li, Q., Tan, Z., & Wang, C. (2024). MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. Journal of Information Security and Applications, 83, Article 103784. https://doi.org/10.1016/j.jisa.2024.103784

The proliferation of malware has exhibited a substantial surge in both quantity and diversity, posing significant threats to the Internet and indispensable network applications. The accurate and effective classification makes a pivotal role in defend... Read More about MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.

Integration of Building Services in Modular Construction: A PRISMA Approach (2024)
Journal Article
Kazeem, K. O., Olawumi, T. O., Adam, J. J., & Lam, E. W. (2024). Integration of Building Services in Modular Construction: A PRISMA Approach. Applied Sciences, 14(10), Article 4151. https://doi.org/10.3390/app14104151

Modular construction is gaining worldwide attention. Building services are the systems that make buildings comfortable and efficient. Mechanical, electrical, and plumbing (MEP) systems provide heating, cooling, lighting, energy distribution, and wate... Read More about Integration of Building Services in Modular Construction: A PRISMA Approach.

Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education (2024)
Presentation / Conference Contribution
Demeke, W. (2024, March). Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education. Presented at 12nd World Conference on Information Systems and Technologies, Lodz, Poland

This study delved into the intricate relationship between social media usage and academic outcomes among university students from diverse fields: en-gineering and art studies, health and social care studies, and business studies. The study employed a... Read More about Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education.

A Taxonomy on Human Factors that Affect DevOps Adoption (2024)
Presentation / Conference Contribution
Pérez-Sánchez, J., Rafi, S., Carrillo de Gea, J. M., Nicolás Ros, J., & Fernández Alemán, J. L. (2024, March). A Taxonomy on Human Factors that Affect DevOps Adoption. Presented at 12th World Conference on Information Systems and Technologies (WorldCIST'24), Lodz, Poland

DevOps is a software development methodology created to reduce or even remove the division between the Development (Dev) and Operations (Ops) teams. However, DevOps adoption requires overcoming several impediments, and between them, culture change an... Read More about A Taxonomy on Human Factors that Affect DevOps Adoption.

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Presentation / Conference Contribution
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (2024, May). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments. Presented at SIGCHI GenAI in UGC Workshop, Honolulu, Hawaii

We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepresence to interactively create shared virtual dance environments. In respon... Read More about Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

WAVE: Anticipatory Movement Visualization for VR Dancing (2024)
Presentation / Conference Contribution
Laattala, M., Piitulainen, R., Ady, N. M., Tamariz, M., & Hämäläinen, P. (2024, May). WAVE: Anticipatory Movement Visualization for VR Dancing. Presented at CHI '24: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA

Dance games are one of the most popular game genres in Virtual Reality (VR), and active dance communities have emerged on social VR platforms such as VR Chat. However, effective instruction of dancing in VR or through other computerized means remains... Read More about WAVE: Anticipatory Movement Visualization for VR Dancing.

Climate change and the built environment - a systematic review (2024)
Journal Article
Tajuddeen, I., & Sajjadian, S. M. (online). Climate change and the built environment - a systematic review. Environment, Development and Sustainability, https://doi.org/10.1007/s10668-024-04962-2

Recent intergovernmental panel on climate change reports have once again emphasised the effective measures to reduce greenhouse gas emissions and the importance of the built environment. Historically, passive and active solutions are known for their... Read More about Climate change and the built environment - a systematic review.

To move or not to move: A review of residential relocation trends after COVID-19 (2024)
Journal Article
Ilham, M. A., Fonzone, A., Fountas, G., & Mora, L. (2024). To move or not to move: A review of residential relocation trends after COVID-19. Cities, 151, Article 105078. https://doi.org/10.1016/j.cities.2024.105078

The restrictions imposed during the COVID-19 pandemic have led to significant changes in travel behaviour and public activities, and they might have contributed to changes in residential location choices. However, research examining the relationship... Read More about To move or not to move: A review of residential relocation trends after COVID-19.

Detection of Ransomware (2024)
Patent
Buchanan, B., McLaren, P., Russell, G., & Tan, Z. (2024). Detection of Ransomware. US20240152616A1

The present invention relates to a computer program product, a computing device and a method of detecting a file encrypted by ransomware by identifying a file write operation for a file on the computing device and determining if a predetermined numbe... Read More about Detection of Ransomware.

Dynamic service of geographically dispersed time-sensitive demands (2024)
Journal Article
de Jong, N., Aslan, A., & Bakir, I. (2024). Dynamic service of geographically dispersed time-sensitive demands. Transportation Research Part C : Emerging Technologies, 163, Article 104625. https://doi.org/10.1016/j.trc.2024.104625

This paper presents a new framework that models the novel dynamic vehicle dispatch problem with holding costs (DVDPHC), which focuses on serving stochastic demands at geographically dispersed locations in a timely manner. This framework is applicable... Read More about Dynamic service of geographically dispersed time-sensitive demands.