Polymers are a vital part of everyday life. Their chemical universe is so large that it presents
unprecedented opportunities as well as significant challenges to identify suitable application …

Rapid response to natural hazards, such as floods, is essential to mitigate loss of life and the
reduction of suffering. For emergency response teams, access to timely and accurate data is …

Surrogate-based optimisation (SBO) algorithms are a powerful technique that combine
machine learning and optimisation to solve expensive optimisation problems. This type of …

Artificial intelligence (AI) has become a transformative force across various disciplines,
including urban planning. It has unprecedented potential to address complex challenges. An …

This research investigates the application of machine learning models to optimise
renewable energy systems and contribute to achieving Net Zero emissions targets. The …

To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …

The advent of Multilingual Language Models (MLLMs) and Large Language Models (LLMs)
has spawned innovation in many areas of natural language processing. Despite the exciting …

In the past ten years, artificial intelligence has encountered such dramatic progress that it is
now seen as a tool of choice to solve environmental issues and, in the first place …

Automated machine learning (AutoML) is recognized for its efficiency in facilitating model
development due to its ability to perform tasks autonomously, without constant human …

Neural machine translation (NMT) systems have greatly improved the quality available from
machine translation (MT) compared to statistical machine translation (SMT) systems …