Skip to main content

Research Repository

Advanced Search

All Outputs (569)

Greening the Brown: Sustainable Retrofitting of UK Houses through Green Walls and Green Roofs (2024)
Presentation / Conference
Panakaduwa Gamage, C. (2024, September). Greening the Brown: Sustainable Retrofitting of UK Houses through Green Walls and Green Roofs. Paper presented at Third International ISHS Symposium on Greener Cities: Improving Ecosystem Services in a Climate-Changing World, London, United Kingdom

The study identifies the scope of literature on the potential application of green walls and roofs in housing retrofits, mainly focusing on the UK context. Housing retrofit in the UK has become a major concern in the sustainability agenda due to the... Read More about Greening the Brown: Sustainable Retrofitting of UK Houses through Green Walls and Green Roofs.

Review of farmer-centered AI systems technologies in livestock operations (2024)
Journal Article
Taiwo, . G. A., Alameer, A., & Mansouri, T. (2024). Review of farmer-centered AI systems technologies in livestock operations. #Journal not on list, 19(1), https://doi.org/10.1079/cabireviews.2024.0038

The assessment of livestock welfare aids in keeping an eye on the health, physiology, and environment of the animals in order to prevent deterioration, detect injuries, stress, and sustain productivity. Because it puts more consumer pressure on farmi... Read More about Review of farmer-centered AI systems technologies in livestock operations.

Utilizing citizen science data to rapidly assess changing associations between wild birds and avian influenza outbreaks in poultry (2024)
Journal Article
Vickers, S. H., Raghwani, J., Banyard, A. C., Brown, I. H., Fournie, G., & Hill, S. C. (in press). Utilizing citizen science data to rapidly assess changing associations between wild birds and avian influenza outbreaks in poultry. Proceedings of the Royal Society B: Biological Sciences, 291, Article 20241713. https://doi.org/10.1098/rspb.2024.1713

High pathogenicity avian influenza virus (HPAIV) is a rapidly evolving virus causing significant economic and environmental harm. Wild birds are a key viral reservoir and an important source of viral incursions into animal populations, including poul... Read More about Utilizing citizen science data to rapidly assess changing associations between wild birds and avian influenza outbreaks in poultry.

EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification (2024)
Presentation / Conference Contribution

In the burgeoning field of natural language processing, emotion classification from textual data has emerged as a critical task with applications ranging from sentiment analysis to mental health assessment. This paper explores the utilization of Conv... Read More about EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification.

Confidence limits for coherence – toward a better understanding of its use as a diffuse field metric for quantifying the quality of Direct Field Acoustic Noise (DFAN) Testing systems (2024)
Presentation / Conference Contribution

To determine the degree of diffuseness of a particular acoustic field, an oft-considered metric is the coherence between spaced pairs of measurement microphones. This is useful because the expected theoretical ‘sinc2’ trend for a diffuse field is wel... Read More about Confidence limits for coherence – toward a better understanding of its use as a diffuse field metric for quantifying the quality of Direct Field Acoustic Noise (DFAN) Testing systems.

An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G (2024)
Journal Article
Bunu, S. M., Alani, O. Y., & Saraee, M. (2024). An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G. Future Internet, 16(9), Article 347. https://doi.org/10.3390/fi16090347

Some challenges when implementing the optimized link state routing (OLSR) protocol on real-life devices and simulators are unmanageable: link quality, rapid energy depletion, and high processor loads. The causes of these challenges are link state pro... Read More about An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G.

Artificial Neural Network Algorithm in Nutritional Assessment: Implication for Machine Learning Prediction in Nutritional Assessments (2024)
Book Chapter

In the current study, we used an artificial neural network (ANN) machine learning algorithm to construct an artificial intelligence-based nutritional assessment system. The algorithm used information from a user's regular meals as well as their preex... Read More about Artificial Neural Network Algorithm in Nutritional Assessment: Implication for Machine Learning Prediction in Nutritional Assessments.

PFAS Adsorption on Water Treatment Residues (2024)
Presentation / Conference
Mandal, J. (2024, September). PFAS Adsorption on Water Treatment Residues. Presented at International Conference on Emerging Trends in Water Treatment 2024, Mikkeli, Finland

Per- and polyfluoroalkyl substances (PFAS) represent a family of emerging persistent organic pollutants. In the face of the escalating global challenge of PFAS contamination in water, this study focuses on the removal of, three PFAS viz. perfluorooct... Read More about PFAS Adsorption on Water Treatment Residues.

The BCPM method: decoding breast cancer with machine learning (2024)
Journal Article
Almarri, B., Gupta, G., Kumar, R., Vandana, V., Asiri, F., & Khan, S. B. (in press). The BCPM method: decoding breast cancer with machine learning. BMC Medical Imaging, 24, Article 248. https://doi.org/10.1186/s12880-024-01402-5

Breast cancer prediction and diagnosis are critical for timely and effective treatment, significantly impacting patient outcomes. Machine learning algorithms have become powerful tools for improving the prediction and diagnosis of breast cancer. The... Read More about The BCPM method: decoding breast cancer with machine learning.

Abandoned villages revisited: the dilemma of adaptive reuse. Case studies from Cyprus. (2024)
Presentation / Conference
Yioutani-Iacovides, M. (2024, September). Abandoned villages revisited: the dilemma of adaptive reuse. Case studies from Cyprus. Paper presented at Conservation of Architectural Heritage (CAH) – 8th Edition, 2024, Sardinia, Italy & online

Unlisted abandoned vernacular villages have been a challenge for communities and conservation professionals, at many levels; economic, social, and environmental.
This paper focuses on academic research that was initiated 30 years ago to record the... Read More about Abandoned villages revisited: the dilemma of adaptive reuse. Case studies from Cyprus..

Electro-Osmotic Peristaltic Streaming Flow of a Fractional Second-Grade Viscoelastic Fluid in a Tube with Permeable Walls Containing Single and Multi-Wall Carbon Nanotubes (2024)
Journal Article

This paper develops a mathematical model to analyse the behaviour of a viscoelastic nanofluid flowing through a radially symmetric cylindrical duct with a permeable wall, incorporating electro-osmotic effects. The model employs a fractional viscoelas... Read More about Electro-Osmotic Peristaltic Streaming Flow of a Fractional Second-Grade Viscoelastic Fluid in a Tube with Permeable Walls Containing Single and Multi-Wall Carbon Nanotubes.

Reflexivity and Interdisciplinarity: The Reflexive Journey of an Interdisciplinary Research Team in Disaster Risk Reduction (2024)
Journal Article

Purpose: Reflexivity supports research teams in developing and implementing interdisciplinarity perspectives, but there is still limited literature on this topic. To fill this gap, we explore how reflexivity can support a research team in its interdi... Read More about Reflexivity and Interdisciplinarity: The Reflexive Journey of an Interdisciplinary Research Team in Disaster Risk Reduction.

Development of cybersecurity framework for FinTech innovations: Bahrain as a case study (2024)
Journal Article
AlBenJasim, S., Takruri, H., Al-Zaidi, R., & Dargahi, T. (2024). Development of cybersecurity framework for FinTech innovations: Bahrain as a case study. #Journal not on list, 5(4), 501-532. https://doi.org/10.1365/s43439-024-00130-4

FinTech is the term used to refer to financial and technology convergence space solutions. It usually refers to new innovations that conduct or connect with financial services via the internet, smart devices, software applications, or cloud services... Read More about Development of cybersecurity framework for FinTech innovations: Bahrain as a case study.

A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images (2024)
Journal Article
Choudhury, A. P., Palaiahnakote, S., & Pal, U. (2024). A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424550115

Text spotting in person and vehicle re-identification images is complex due to the presence of multiple views of the same person and vehicle. Most existing models focus on text spotting in natural scene images, our work focuses on spotting in person... Read More about A New Symmetry-Based Transformer for Text Spotting in Person and Vehicle Re-Identification Images.