Outputs (607)

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.

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.

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.-M. (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.

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.

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.

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.

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.