Outputs (632)

Thermal and Acoustic Properties of Sustainable Structural Lightweight Aggregate Rubberized Concrete (2022)
Journal Article
Pongsopha, P., Sukontasukkul, P., Zhang, H., & Limkatanyu, S. (2022). Thermal and Acoustic Properties of Sustainable Structural Lightweight Aggregate Rubberized Concrete. Results in Engineering, 13, Article 100333. https://doi.org/10.1016/j.rineng.2022.100333

This study investigated the effect crumb rubber recycled from wasted tires on properties of structural lightweight aggregate concrete (LWAC). Two types of concrete were tested: control LWAC and rubberized lightweight aggregate concrete (RLWAC). The... Read More about Thermal and Acoustic Properties of Sustainable Structural Lightweight Aggregate Rubberized Concrete.

A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers (2022)
Journal Article
Kadapa, C., & Hossain, M. (2022). A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers. Mechanics of Materials, 166, Article 104207. https://doi.org/10.1016/j.mechmat.2021.104207

The last decade has witnessed the emergence of magneto-active polymers (MAPs) as one of the most advanced multi-functional soft composites. Depending on the magnetisation mechanisms and responsive behaviour, MAPs are mainly classified as hard magneti... Read More about A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers.

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model (2022)
Journal Article
Rehman, M. U., Shafique, A., Khan, K. H., Khalid, S., Alotaibi, A. A., Althobaiti, T., Ramzan, N., Ahmad, J., Shah, S. A., & Abbasi, Q. H. (2022). Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model. Sensors, 22(2), Article 461. https://doi.org/10.3390/s22020461

This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep learning model to make the technique non-invasive coupled with security preservation. Sensing and securing healthcare and medical images such as X-rays... Read More about Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.

Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed (2022)
Book Chapter
Alexy, M., & Horváth, T. Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed. In Tracing the Domestic Pig. IntechOpen. https://doi.org/10.5772/intechopen.101615

Pig farming is largely characterized by closed, large-scale housing technology. These systems are driven by resource efficiency. In intensive technologies, humans control almost completely. However, there are pig farming systems where humans have jus... Read More about Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed.

Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review (2022)
Journal Article
Saeed, U., Shah, S. Y., Ahmad, J., Imran, M. A., Abbasi, Q. H., & Shah, S. A. (2022). Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review. Journal of Pharmaceutical Analysis, 12(2), 193-204. https://doi.org/10.1016/j.jpha.2021.12.006

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people worldwide. With the recent rise of new Delta and Omicron variants, the efficacy... Read More about Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review.

Exploring the Need For an Updated Mixed File Research Data Set (2022)
Presentation / Conference Contribution
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021, October). Exploring the Need For an Updated Mixed File Research Data Set. Presented at 2021 International Conference on Engineering and Emerging Technologies (ICEET), Istanbul, Turkey

Mixed file data sets are used in a variety of research areas, including Digital Forensics, Malware analysis and Ransomware detection. Researchers recently seem to either have to create their own custom data sets or well-known data sets are used, but... Read More about Exploring the Need For an Updated Mixed File Research Data Set.

Review of Current Ransomware Detection Techniques (2022)
Presentation / Conference Contribution
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021, October). Review of Current Ransomware Detection Techniques. Presented at 2021 International Conference on Engineering and Emerging Technologies (ICEET), Istanbul, Turkey

A review of proposed ransomware detection tools and techniques. The tools are described, compared and contrasted and possible short comings in their approaches are discussed.

Metabolic heat loss in southern elephant seals (Mirounga leonina) differs with stage of moult and between habitats (2022)
Journal Article
Paterson, W. D., Chaise, L. L., McKnight, C., Currie, J. I., Thompson, D., Ancel, A., Gilbert, C., & McCafferty, D. J. (2022). Metabolic heat loss in southern elephant seals (Mirounga leonina) differs with stage of moult and between habitats. Journal of Thermal Biology, 104, Article 103183. https://doi.org/10.1016/j.jtherbio.2021.103183

The moult in southern elephant seals (Mirounga leonina) represents an especially energetically demanding period during which seals must maintain high skin temperature to facilitate complete replacement of body fur and upper dermis. In this study, hea... Read More about Metabolic heat loss in southern elephant seals (Mirounga leonina) differs with stage of moult and between habitats.

In-depth exploration of partial discharge modelling methods within insulations (2022)
Journal Article
Afrouzi, H. N., Hassan, A., Chee, D. T. Y., Mehranzamir, K., Malek, Z. A., Mashak, S. V., & Ahmed, J. (2022). In-depth exploration of partial discharge modelling methods within insulations. Cleaner Engineering and Technology, 6, Article 100390. https://doi.org/10.1016/j.clet.2021.100390

Partial discharge (PD) activities are the essential contributor of insulation failure, which constitute more than 60% for damaging high voltage equipment. This article presents a critical review on the modelling of partial discharge using different t... Read More about In-depth exploration of partial discharge modelling methods within insulations.

A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism (2022)
Presentation / Conference Contribution
Wang, X., Wang, Y., Lu, C., Yu, H., He, H., & Li, Z. (2021, December). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. Presented at 2021 International Conference on Advanced Mechatronic Systems (ICAMechS), Tokyo, Japan

Loose wearing or self-placement usually causes sensor displacement, which can deteriorate the performance of classifiers in real use. As a case study, this paper focuses on investigating the effect of wrist-worn sensor displacement on human activity... Read More about A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism.