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View article: Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation Open
Large language models (LLMs) have been adopted for next point-of-interest (POI) recommendation tasks. Typical LLM-based recommenders fall into two categories: prompt-based and supervised fine-tuning (SFT)-based models. Prompt-based models …
Evaluation of synthetic data impact on fire segmentation models performance Open
Timely fire detection in industrial environments is crucial to safeguarding people and property. Deep neural networks have shown effectiveness in fire detection over traditional methods. However, they require high-quality datasets, which a…
Mobility as a Resource (MaaR) for Resilient Human-Centric Automation – A Vision Paper Open
With technological advances, mobility has been moving from a product (i.e., traditional modes and vehicles), to a service (i.e., Mobility as a Service, MaaS). However, as observed in other fields (e.g., cloud computing resource management)…
AdaVLN: Towards Visual Language Navigation in Continuous Indoor Environments with Moving Humans Open
Visual Language Navigation is a task that challenges robots to navigate in realistic environments based on natural language instructions. While previous research has largely focused on static settings, real-world navigation must often cont…
13. Code against code Open
Machine writing—where computing methods are used to create texts—has risen in popularity recently, diversifying and expanding. Machine writing itself could be seen as a subset of the creative coding discipline. Emblematic of the contempora…
A Framework for Communicating and Building a Digital Twin Model of the Electric Car Open
The Fourth Industrial Revolution has had a huge impact on manufacturing processes and products. With rapidly growing technology, new solutions are being implemented in the field of digital representations of a physical product. This approa…
Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children Open
Atypical visual attention in individuals with autism spectrum disorders (ASD) has been utilised as a unique diagnosis criterion in previous research. This paper presents a novel approach to the automatic and quantitative screening of ASD a…
Mobility as a Resource (MaaR) for resilient human-centric automation: a vision paper Open
With technological advances, mobility has been moving from a product (i.e., traditional modes and vehicles), to a service (i.e., Mobility as a Service, MaaS). However, as observed in other fields (e.g. cloud computing resource management) …
Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children Open
Atypical visual attention in individuals with autism spectrum disorders (ASD) has been utilised as a unique diagnosis criterion in previous research. This paper presents a novel approach to the automatic and quantitative screening of ASD a…
View article: Analysis of Wildfire Visualization Systems for Research and Training: Are They Up for the Challenge of the Current State of Wildfires?
Analysis of Wildfire Visualization Systems for Research and Training: Are They Up for the Challenge of the Current State of Wildfires? Open
Wildfires affect many regions across the world. The accelerated progression of global warming has amplified their frequency and scale, deepening their impact on human life, the economy, and the environment. The temperature rise has been dr…
Human–robot creative interactions: Exploring creativity in artificial agents using a storytelling game Open
Creativity in social robots requires further attention in the interdisciplinary field of human–robot interaction (HRI). This study investigates the hypothesized connection between the perceived creative agency and the animacy of social rob…
Virtual Reality for Emotion Elicitation – A Review Open
Emotions are multifaceted phenomena that affect our behaviour, perception, and cognition. Increasing evidence indicates that induction mechanisms play a crucial role in triggering emotions by simulating the sensations required for an exper…
Optimizing the optimizer for data driven deep neural networks and physics informed neural networks Open
We investigate the role of the optimizer in determining the quality of the model fit for neural networks with a small to medium number of parameters. We study the performance of Adam, an algorithm for first-order gradient-based optimizatio…
Human-Robot Creative Interactions (HRCI): Exploring Creativity in Artificial Agents Using a Story-Telling Game Open
Creativity in social robots requires further attention in the interdisciplinary field of Human-Robot Interaction (HRI). This paper investigates the hypothesised connection between the perceived creative agency and the animacy of social rob…
RST as Narrative Structure for Node-Based Editors Open
Despite Narrative Visualisation's (NarVis) proliferation in academic circles, a narrative structure designed to suit the individual challenges and needs of the discipline is yet to mature. We present both a structure and tool for NarVis th…
A review of computer graphics approaches to urban modeling from a machine learning perspective Open
Urban modeling facilitates the generation of virtual environments for various scenarios about cities. It requires expertise and consideration, and therefore consumes massive time and computation resources. Nevertheless, related tasks somet…
Explainable AI and Reinforcement Learning—A Systematic Review of Current Approaches and Trends Open
Research into Explainable Artificial Intelligence (XAI) has been increasing in recent years as a response to the need for increased transparency and trust in AI. This is particularly important as AI is used in sensitive domains with societ…
Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends Open
The future of work and workplace is very much in flux. A vast amount has been written about artificial intelligence (AI) and its impact on work, with much of it focused on automation and its impact in terms of potential job losses. This re…
A recently discovered wreck with double planking in the Bay of Puck. Measurements, recording and positioning of the site with the use of a 3D photogrammetry model and a multibeam echosounder Open
The F32.8 wreck was discovered in 2014 at a depth of 4.5 m in the waters of the Bay of Puck, Poland. The wreck consists of a fragment of the port side of a vessel with a characteristic double, clinker and carvel, planking. The site is 9.5 …
Visually Impaired User Experience using a 3D-Enhanced Facility Management System for Indoors Navigation Open
We developed a 3D-Enhanced Facility Management System for Indoors Navigation (3D-EFMS-IN) to assist visually impaired users (VIU). Additionally, the system aims to facilitate the management of estate property and provide support for future…
Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019 Open
The current state of computer vision methods applied to autism spectrum disorder (ASD) research has not been well established. Increasing evidence suggests that computer vision techniques have a strong impact on autism research. The primar…
A stochastic model of jaguar abundance in the Peruvian Amazon under climate variation scenarios Open
The jaguar (Panthera onca) is the dominant predator in Central and South America, but is now considered near‐threatened. Estimating jaguar population size is difficult, due to uncertainty in the underlying dynamical processes as well as hi…
The visual analytics of big, open public transport data – a framework and pipeline for monitoring system performance in Greater Sydney Open
Many cities, countries and transport operators around the world are striving to design intelligent transport systems. These systems capture the value of multisource and multiform data related to the functionality and use of transportation …
Non-Euclidean Embeddings for Graph Analytics and Visualisation Open
No abstract available.