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All Outputs (8)

The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines (2020)
Presentation / Conference
Chatterjee, J., & Dethlefs, N. (2020, August). The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines. Paper presented at Fragile Earth: Data Science for a Sustainable Planet. KDD 2020, Virtual Conference

The global pursuit towards sustainable development is leading to increased adaptation of renewable energy sources. Wind turbines are promising sources of clean energy, but regularly suffer from failures and down-times, primarily due to the complex en... Read More about The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines.

Natural Language Generation for Operations and Maintenance in Wind Turbines (2019)
Presentation / Conference
Chatterjee, J., & Dethlefs, N. (2019, December). Natural Language Generation for Operations and Maintenance in Wind Turbines. Paper presented at NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning, Vancouver Convention Center, British Columbia, Canada

Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines and associated... Read More about Natural Language Generation for Operations and Maintenance in Wind Turbines.

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. (2018)
Presentation / Conference
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018, September). Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. Paper presented at British Machine Vision Conference 2018, BMVC 2018, Northumbria University

© 2018. The copyright of this document resides with its authors. Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, thes... Read More about Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN..

Estimation of cardiovascular patient risk with a Bayesian network (2011)
Presentation / Conference
Bohacik, J., & Davis, D. (2011, June). Estimation of cardiovascular patient risk with a Bayesian network. Presented at Transcom 2011

Cardiovascular decision-making support experiences increasing research interest of scientists.Ongoing collaborations between clinicians and computer scientists are looking at the application of datamining techniques to the area of individual patient... Read More about Estimation of cardiovascular patient risk with a Bayesian network.

Enabling multipurpose image interaction in modular visualization environments
Presentation / Conference
Wright, H., & Chatzinikos, F. Enabling multipurpose image interaction in modular visualization environments. Paper presented at Visualization and Data Analysis 2003

Recent improvements in processor and graphics power mean researchers can now interact with their running simulation at the same time as they view the results. This so-called 'computational steering' brings greater insight to the investigation process... Read More about Enabling multipurpose image interaction in modular visualization environments.

Integrating the DIS standards into a fully-immersive simulation application
Presentation / Conference
Cruz-Neira, C., Courter, D., & Springer, J. Integrating the DIS standards into a fully-immersive simulation application

Fully-immersive applications in a distributed environment play an increasing role for training and simulation related areas. The Distributed Interactive Simulation protocols were created to ensure interoperability across participating sites. However,... Read More about Integrating the DIS standards into a fully-immersive simulation application.