Outputs (55)

Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting (2021)
Journal Article

Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and monitoring of pollutant concentration levels, among others. Existing models use complex statis... Read More about Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting.

Development and validation of a patient reported outcome measure for giant cell arteritis (2021)
Presentation / Conference Contribution

Patient perceptions of physical activity after a diagnosis of giant cell arteritis: Analysis of multinational qualitative data (2021)
Journal Article

Objective: To explore patient perceptions of physical activity in giant cell arteritis (GCA). Methods: This was a multinational qualitative study, analyzing interview data collected from participants from the UK (n=25) and Australia (n=11) with a def... Read More about Patient perceptions of physical activity after a diagnosis of giant cell arteritis: Analysis of multinational qualitative data.

Patient perceptions of health-related quality of life in giant cell arteritis: International development of a disease-specific patient-reported outcome measure (2021)
Journal Article

Objectives: GCA is a large vessel vasculitis (LVV) presenting with headache, jaw claudication, musculoskeletal and visual involvement. Current treatment is glucocorticoids and anti-IL-6 tocilizumab in refractory disease. The objective of this study w... Read More about Patient perceptions of health-related quality of life in giant cell arteritis: International development of a disease-specific patient-reported outcome measure.

Socially-Driven Enterprise Education: Exploring the effectiveness of socially-driven projects in developing students’ enterprise skills (2020)
Report

The growing interest in social enterprise has arguably changed the enterprise education landscape with HEIs increasingly embedding social enterprise into accredited programmes and developing extracurricular activities aimed at engendering social entr... Read More about Socially-Driven Enterprise Education: Exploring the effectiveness of socially-driven projects in developing students’ enterprise skills.

A holistic sustainability framework for oil terminals: The case of China (2020)
Journal Article

This research provides a sustainability framework for the Chinese oil terminal sustainability performance evaluation. Due to the lack of existing holistic oil terminal sustainability research and the increasing demand for sustainability pursuits, the... Read More about A holistic sustainability framework for oil terminals: The case of China.

Deep learning model for demolition waste prediction in a circular economy (2020)
Journal Article

An essential requirement for a successful circular economy is the continuous use of materials. Planning for building materials reuse at the end-of-life of buildings is usually a difficult task because limited time are usually made available for build... Read More about Deep learning model for demolition waste prediction in a circular economy.

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings (2020)
Journal Article

A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to the comprehensive r... Read More about Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings.

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings (2020)
Journal Article

Accurate forecast of energy consumption is essential in building energy management. Owing to the variation of outdoor weather condition among different seasons, year-round historical weather profile is needed to investigate its feature thoroughly. Da... Read More about Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings.

Project reputation in construction: A process-based perspective of construction practitioners in the UK (2020)
Journal Article

The overall aim of this study is to elicit the perspective of practitioners (e.g., architects, civil engineers, building engineers, structural engineers and quantity surveyors) on the process-related factors influencing the project reputation of cons... Read More about Project reputation in construction: A process-based perspective of construction practitioners in the UK.