• Gestural linguistic context vectors encode gesture meaning 

  Vogel, Carl; Koutsombogera, Maria; Khosrobeigi, Zohreh; Murat, Anaïs Claire (2023)

  Linguistic context vectors are adapted for measuring the lin- guistic contexts that accompany gestures and comparable co- linguistic behaviours. Focusing on gestural semiotic types, it is demonstrated that gestural ...
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  Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey 

  Hegde, Bharathkumar; Melanie, Bouroche (AI Communications, 2023)

  Connected Autonomous vehicles (CAVs) are expected to improve the safety and efficiency of traffic by automating driving tasks. Amongst those, lane changing is particularly challenging, as it requires the vehicle to be aware ...
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  Fully Abstract Normal Form Bisimulation for Call-by-Value PCF 

  Koutavas, Vasileios; Lin Hou, Yu (IEEE, 2023)

  We present the first fully abstract normal form bisimulation for call-by-value PCF (PCFv). Our model is based on a labelled transition system (LTS) that combines elements from applicative bisimulation, environmental ...
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  Optimising Energy Efficiency in UAV-Assisted Networks using Multi-Agent Reinforcement Learning 

  Omoniwa, Babatunji (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)

  The demand for cellular connectivity continues to witness unprecedented growth over the years. Unmanned Aerial Vehicles (UAVs) equipped with small cells can provide ubiquitous connectivity to static and mobile ground users ...
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  Information Visualisation Applied to Corpus Linguistic Methodologies 

  Sheehan, Shane

  This thesis uses established visualisation design methods to characterize problems in corpus linguistics. The identified problem areas are concordance collocation patterns, frequency list comparison, and concordance meta-data ...

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