All Outputs (30)

Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)
Journal Article

The emergence of cryptocurrencies has drawn significant investment capital in recent years with an exponential increase in market capitalization and trade volume. However, the cryptocurrency market is highly volatile and burdened with substantial het... Read More about Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction.

Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms (2022)
Journal Article

The reinforcement and imitation learning paradigms have the potential to revolutionise robotics. Many successful developments have been reported in literature; however, these approaches have not been explored widely in robotics for construction. The... Read More about Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms.

Life cycle optimisation of building retrofitting considering climate change effects (2022)
Journal Article

Novelty: Climate change has significant impacts on building energy performance. A novel life cycle optimisation strategy is developed for determining optimal retrofitting solutions for office buildings with climate change effects taken into considera... Read More about Life cycle optimisation of building retrofitting considering climate change effects.

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.

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.

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.

Big data innovation and diffusion in projects teams: Towards a conflict prevention culture (2020)
Journal Article

Despite the enormous literature on how team conflicts can be managed and resolved, this study diverges, by examining factors that facilitate conflict prevention culture in project teams, especially when introducing Big Data Technology. Relying on fin... Read More about Big data innovation and diffusion in projects teams: Towards a conflict prevention culture.

Human error in autonomous underwater vehicle deployment: A system dynamics approach (2020)
Journal Article

The use of autonomous underwater vehicles (AUVs) for various applications have grown with maturing technology and improved accessibility. The deployment of AUVs for under-ice marine science research in the Antarctic is one such example. However, a hi... Read More about Human error in autonomous underwater vehicle deployment: A system dynamics approach.

A hybrid fuzzy system dynamics approach for risk analysis of AUV operations (2020)
Journal Article

© 2020 Fuji Technology Press. All rights reserved. The maturing of autonomous technology has fostered a rapid expansion in the use of Autonomous Underwater Vehicles (AUVs). To prevent the loss of AUVs during deployments, existing risk analysis approa... Read More about A hybrid fuzzy system dynamics approach for risk analysis of AUV operations.

Fuzzy System Dynamics Risk Analysis (FuSDRA) of autonomous underwater vehicle operations in the Antarctic (2019)
Journal Article

© 2019 Society for Risk Analysis With the maturing of autonomous technology and better accessibility, there has been a growing interest in the use of autonomous underwater vehicles (AUVs). The deployment of AUVs for under-ice marine science research... Read More about Fuzzy System Dynamics Risk Analysis (FuSDRA) of autonomous underwater vehicle operations in the Antarctic.

Selection of effective risk mitigation strategies in container shipping operations (2019)
Journal Article

© 2019, Pacific Star Group Education Foundation. Licensed re-use rights only. Purpose: Container shipping companies face various risks with different consequences that are required to be mitigated. Limited empirical research has been done on identify... Read More about Selection of effective risk mitigation strategies in container shipping operations.

A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions (2019)
Journal Article

© 2019 Society for Risk Analysis The use of autonomous underwater vehicles (AUVs) for various scientific, commercial, and military applications has become more common with maturing technology and improved accessibility. One relatively new development... Read More about A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions.

Logistics and distribution challenges to managing operations for corporate sustainability: Study on leading Indian diary organizations (2019)
Journal Article

© 2019 Elsevier Ltd In order to improve the corporate sustainability of agro-food value chains, business organizations need to rely on a higher performing and more reliable logistics system. Particularly, in case of dairy industry, organizations are... Read More about Logistics and distribution challenges to managing operations for corporate sustainability: Study on leading Indian diary organizations.

Widening the discourse on team-teaching in higher education (2019)
Journal Article

Team-teaching is arguably shifting from the realm of pedagogic choice to that of necessity in a complex and demanding Higher Education (HE) landscape. This research gives a voice to staff collaborating in team-teaching, considering their motivations... Read More about Widening the discourse on team-teaching in higher education.

Developing live projects as part of an assessment regime within a dispersed campus model (2018)
Journal Article

Our newly designed MSc unit, Sustainable Business Management (SBM), is designed to engage students in the real-life practical application of sustainability at work. The authentic assessment uses a live project approach to develop and evaluate both th... Read More about Developing live projects as part of an assessment regime within a dispersed campus model.