Outputs (14981)

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

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.

Analysis of Fraudulent Job Postings Using Machine Learning (2024)
Presentation / Conference Contribution

In the age of digital recruitment, the proliferation of fraudulent job postings poses significant challenges for job seekers and legitimate employers alike. These deceptive listings not only waste time and resources but also endanger personal data an... Read More about Analysis of Fraudulent Job Postings Using Machine Learning.

Clustering Medical Transcriptions Using K -Means (2024)
Presentation / Conference Contribution

The clustering of medical transcriptions is an essential task for the categorization and summarization of large volumes of medical records. This paper explores the efficacy of k-means clustering, a well-known unsupervised machine learning algorithm,... Read More about Clustering Medical Transcriptions Using K -Means.

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.

Editorial: Reviews in cancer metabolism: 2023 (2024)
Journal Article
Ozsvari, B., & Jacobo-Herrera, N. (in press). Editorial: Reviews in cancer metabolism: 2023. Frontiers in oncology, 14, Article 1478011. https://doi.org/10.3389/fonc.2024.1478011

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.