Outputs (2128)

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem (2024)
Journal Article
Lin, B., Li, J., Cui, T., Jin, H., Bai, R., Qu, R., & Garibaldi, J. (2024). A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem. Expert Systems with Applications, 249, Article 123515. https://doi.org/10.1016/j.eswa.2024.123515

The online bin packing problem is a well-known optimization challenge that finds application in a wide range of real-world scenarios. In the paper, we propose a novel algorithm called FuzzyPatternPack(FPP), which leverages fuzzy inference and pattern... Read More about A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.

Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study (2024)
Journal Article
Ali, Y., Rennick-Egglestone, S., Llewellyn-Beardsley, J., Ng, F., Yeo, C., Franklin, D., Perez Vallejos, E., Ben-Zeev, D., Kotera, Y., & Slade, M. (2024). Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study. Frontiers in Digital Health, 6, Article 1297935. https://doi.org/10.3389/fdgth.2024.1297935

Introduction

Mental health recovery narratives are widely available to the public, and can benefit people affected by mental health problems. The NEON Intervention is a novel web-based digital health intervention providing access to the NEON Colle... Read More about Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study.

Self-Bidirectional Decoupled Distillation for Time Series Classification (2024)
Journal Article
Xiao, Z., Xing, H., Qu, R., Li, H., Feng, L., Zhao, B., & Yang, J. (2024). Self-Bidirectional Decoupled Distillation for Time Series Classification. IEEE Transactions on Artificial Intelligence, https://doi.org/10.1109/tai.2024.3360180

Over the years, many deep learning algorithms have been developed for time series classification (TSC). A learning model’s performance usually depends on the quality of the semantic information extracted from lower and higher levels within the repres... Read More about Self-Bidirectional Decoupled Distillation for Time Series Classification.

Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk (2024)
Journal Article
Wang, H., Bellotti, A., Qu, R., & Bai, R. (2024). Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk. Risks, 12(2), Article 31. https://doi.org/10.3390/risks12020031

Survival models have become popular for credit risk estimation. Most current credit risk survival models use an underlying linear model. This is beneficial in terms of interpretability but is restrictive for real-life applications since it cannot dis... Read More about Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk.

Local-global methods for generalised solar irradiance forecasting (2024)
Journal Article
Cargan, T. R., Landa-Silva, D., & Triguero, I. (2024). Local-global methods for generalised solar irradiance forecasting. Applied Intelligence, 54(2), 2225-2247. https://doi.org/10.1007/s10489-024-05273-9

For efficient operation, solar power operators often require generation forecasts for multiple sites with varying data availability. Many proposed methods for forecasting solar irradiance / solar power production formulate the problem as a time-serie... Read More about Local-global methods for generalised solar irradiance forecasting.

Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis (2024)
Journal Article
Aldafas, R., Crabtree, T., Alkharaiji, M., Vinogradova, Y., & Idris, I. (2024). Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis. Age and Ageing, 53(1), Article afad254. https://doi.org/10.1093/ageing/afad254

Objective: Sodium-glucose cotransporter-2 inhibitors (SGLT2Is) reduce cardio-metabolic and renal outcomes in patients with type 2 diabetes (T2D) but their efficacy and safety in older or frail individuals remains unclear. Methods: We searched PubMed,... Read More about Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis.

Boundary-wise loss for medical image segmentation based on fuzzy rough sets (2024)
Journal Article
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2024). Boundary-wise loss for medical image segmentation based on fuzzy rough sets. Information Sciences, 661, Article 120183. https://doi.org/10.1016/j.ins.2024.120183

The loss function plays an important role in deep learning models as it determines the model convergence behavior and performance. In semantic segmentation, many methods utilize pixel-wise (e.g. cross-entropy) and region-wise (e.g. dice) losses while... Read More about Boundary-wise loss for medical image segmentation based on fuzzy rough sets.

Critical responsible innovation – the role(s) of the researcher (2024)
Journal Article
Stahl, B. C. (2024). Critical responsible innovation – the role(s) of the researcher. Journal of Responsible Innovation, 11(1), Article 2300162. https://doi.org/10.1080/23299460.2023.2300162

Critical theory (CT) is a widely used theoretical approach that can be used to describe, understand and justify interventions into scientific and technical research and innovation. It can thus be considered a potential theoretical underpinning of res... Read More about Critical responsible innovation – the role(s) of the researcher.

Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science (2024)
Journal Article
Goddard, T. R., Brookes, K. J., Sharma, R., Moemeni, A., & Rajkumar, A. P. (2024). Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science. Cells, 13(3), Article 223. https://doi.org/10.3390/cells13030223

Dementia with Lewy bodies (DLB) is a significant public health issue. It is the second most common neurodegenerative dementia and presents with severe neuropsychiatric symptoms. Genomic and transcriptomic analyses have provided some insight into dise... Read More about Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science.

An Automated Performance Evaluation of the Newborn Life Support Procedure (2024)
Presentation / Conference Contribution
Tan, A., Egede, J., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2024, January). An Automated Performance Evaluation of the Newborn Life Support Procedure. Presented at 2024 Annual Reliability and Maintainability Symposium (RAMS), Albuquerque, NM, USA

This research is conducted to develop an automated action recognition method to evaluate the performance of the Newborn Life Support (NLS) procedure. It will be useful to find deviations in the procedure, such as missing steps and incorrect actions,... Read More about An Automated Performance Evaluation of the Newborn Life Support Procedure.