A User Study of Perceived Carbon Footprint

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Measuring bathymetry has always been a major scientific and technological challenge. In this work, we used a deep learning technique for inferring bathymetry from the depth-averaged velocity field. The training of the neural network is based on 5742 labora ...

The aggravation of climate change calls for the timely development and implementation of highly efficient, renewable, zero- or negative-emission energy solutions with high technological readiness and feasibility levels. Solid oxide fuel cells (SOFC) consti ...

The AIDRES database aims to support the long-term objective of a fully integrated industrial strategy in the EU 27, providing a service to the European Commission and a catalogue for industries to understand the effectiveness, efficiency and cost of potent ...

The pursuit of alternative energy sources for the nitrogen fertilizers sector has recently earned renewed interest due to increasing concerns regarding the world dependence on non-renewable energy resources and also motivated by the more stringent environm ...

Higher-order asymptotics provide accurate approximations for use in parametric statistical modelling. In this thesis, we investigate using higher-order approximations in two-specific settings, with a particular emphasis on the tangent exponential model. ...

Biorefineries hold the potential to provide products and energy carriers at reduced environmental impact compared to their fossil-based counterparts. Thus, they can contribute to the decarbonization of sectors in which electrification of demands is challen ...

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

With the goal of understanding effective strategies to communicate about climate change, we build interpretable models to rank tweets related to climate change with respect to the engagement they generate. Our models are based on the Bradley-Terry model of ...

A User Study of Perceived Carbon Footprint

Chat with Graph Search

Bed Topography Inference from Velocity Field Using Deep Learning

Readiness evaluation of SOFC-MGT hybrid systems with carbon capture for distributed combined heat and power

AIDRES: A database for the decarbonisation of the heavy industry in Europe

Integrated production of urea and nitric acid in the pulp industry: techno-economic and environmental analysis of black liquor gasification-based processes

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Leveraging industrial biorefineries for the energy transition

Robust discrete choice models with t-distributed kernel errors

Mining Effective Strategies for Climate Change Communication