All Outputs (602)

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images (2022)
Journal Article
Ieracitano, C., Mammone, N., Versaci, M., Varone, G., Ali, A., Armentano, A., …Morabito, F. C. (2022). A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing, 481, 202-215. http

The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR) have been an important imaging modality for assisting in the diagnosis and management of hospitalised Covid-19 patients. However, their interpretation is time... Read More about A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.

Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing (2022)
Journal Article
Saeed, U., Yaseen Shah, S., Aziz Shah, S., Liu, H., Alhumaidi Alotaibi, A., Althobaiti, T., …H. Abbasi, Q. (2022). Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless

Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is fo... Read More about Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing.

A multiplayer game model to detect insiders in wireless sensor networks (2022)
Journal Article
Kantzavelou, I., Maglaras, L., Tzikopoulos, P. F., & Katsikas, S. (2022). A multiplayer game model to detect insiders in wireless sensor networks. PeerJ Computer Science, 8, Article e791. https://doi.org/10.7717/peerj-cs.791

Insiders might have incentives and objectives opposed to those of the belonging organization. It is hard to detect them because of their privileges that partially protect them. In Wireless Sensor Networks (WSNs), significant security issues arise, in... Read More about A multiplayer game model to detect insiders in wireless sensor networks.

Investigation of control algorithm for long-stroke fast tool servo system (2022)
Journal Article
Gong, Z., Huo, D., Niu, Z., Chen, W., & Shyha, I. (2022). Investigation of control algorithm for long-stroke fast tool servo system. Precision Engineering, 75, 12-23. https://doi.org/10.1016/j.precisioneng.2022.01.006

Fast tool servo (FTS) is an efficient and reliable method in precision machining for fabricating freeform surfaces or microarrays with sub-micrometric form accuracy. In this paper, a Lorentz force FTS is designed where the voice coil motor is located... Read More about Investigation of control algorithm for long-stroke fast tool servo system.

NapierOne: A modern mixed file data set alternative to Govdocs1 (2022)
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2022). NapierOne: A modern mixed file data set alternative to Govdocs1. Forensic Science International: Digital Investigation, 40, Article 301330. https://doi.org/10.1016/j.fsidi.2021.301330

It was found when reviewing the ransomware detection research literature that almost no proposal provided enough detail on how the test data set was created, or sufficient description of its actual content, to allow it to be recreated by other resear... Read More about NapierOne: A modern mixed file data set alternative to Govdocs1.

The need for latent variables for modelling decision-making in evacuation simulations (2022)
Book Chapter
Lovreglio, R., Borri, D., Ronchi, E., Fonzone, A., & dell’Olio, L. (2022). The need for latent variables for modelling decision-making in evacuation simulations. In C. De Lucia, D. Borri, A. Kubursi, & A. Khakee (Eds.), Economics and Engineering of Unpr

Evacuation models generally tend to make over-simplifications in the representation of human behaviour in fire due to the difficulties to capture its complexity. This work shows how discrete choice model approaches allow overcoming this issue. A desc... Read More about The need for latent variables for modelling decision-making in evacuation simulations.

Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography (2022)
Journal Article
Ji, Y., Yang, S., Zhou, K., Rocliffe, H. R., Pellicoro, A., Cash, J. L., …Huang, Z. (2022). Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography. Journal of Biomedical Optics, 27(1),

Significance: In order to elucidate therapeutic treatment to accelerate wound healing, it is crucial to understand the process underlying skin wound healing, especially re-epithelialization. Epidermis and scab detection is of importance in the wound... Read More about Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography.

Mass Transfer Characteristics through Alumina Membranes with Different Pores Sizes and Porosity (2022)
Journal Article
Ogunlude, P., Abunomah, O., Hashim, I., Aisueni, F., Ogoun, E., Antwi, S., …Gobina, E. (2022). Mass Transfer Characteristics through Alumina Membranes with Different Pores Sizes and Porosity. International Journal on Engineering, Science and Technology,

Different membranes covering the macroporous to nano-pororous range and having different porosities have been used to study the mass transfer of methane and carbon dioxide single gases. The effect of flow parameters on the transport mechanisms throug... Read More about Mass Transfer Characteristics through Alumina Membranes with Different Pores Sizes and Porosity.

Development of a Novel Simulator for Modelling Underground Hydrogen and Gas Mixture Storage (2022)
Journal Article
Cai, Z., Zhang, K., & Guo, C. (2022). Development of a Novel Simulator for Modelling Underground Hydrogen and Gas Mixture Storage. International Journal of Hydrogen Energy, 47(14), 8929-8942. https://doi.org/10.1016/j.ijhydene.2021.12.224

Underground hydrogen storage can store grid-scale energy for balancing both short-term and long-term inter-seasonal supply and demand. However, there is no numerical simulator which is dedicated to the design and optimisation of such energy storage t... Read More about Development of a Novel Simulator for Modelling Underground Hydrogen and Gas Mixture Storage.

A Jug-Shaped CPW-Fed Ultra-Wideband Printed Monopole Antenna for Wireless Communications Networks (2022)
Journal Article
Ahmad, S., Ijaz, U., Naseer, S., Ghaffar, A., Qasim, M. A., Abrar, F., Parchin, N. O., Hwang See, C., & Abd-Alhameed, R. (2022). A Jug-Shaped CPW-Fed Ultra-Wideband Printed Monopole Antenna for Wireless Communications Networks. Applied Sciences, 12(2), Ar

A type of telecommunication technology called an ultra-wideband (UWB) is used to provide a typical solution for short-range wireless communication due to large bandwidth, low power consumption in transmission and reception. Printed monopole antennas... Read More about A Jug-Shaped CPW-Fed Ultra-Wideband Printed Monopole Antenna for Wireless Communications Networks.

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.2022.1

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., …Abbasi, Q. H. (2022). Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model. Sensors, 22(2), Article 461.

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.or

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., …McCafferty, D. J. (2022). Metabolic heat loss in southern elephant seals (Mirounga leonina) differs with stage of moult and between habitats. Journal of Thermal Biolo

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.

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. (2022). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. In 2021 International Conference on Advanced Mechatronic Systems (ICAMechS) (103-108). h

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.

COVID-opt-aiNet: a clinical decision support system for COVID-19 detection (2022)
Journal Article
Kanwal, S., Khan, F., Alamri, S., Dashtipur, K., & Gogate, M. (2022). COVID-opt-aiNet: a clinical decision support system for COVID-19 detection. International Journal of Imaging Systems and Technology, 32(2), 444-461. https://doi.org/10.1002/ima.22695

Coronavirus disease (COVID-19) has had a major and sometimes lethal effect on global public health. COVID-19 detection is a difficult task that necessitates the use of intelligent diagnosis algorithms. Numerous studies have suggested the use of artif... Read More about COVID-opt-aiNet: a clinical decision support system for COVID-19 detection.