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Automated Optical Inspection (AOI) systems in industrial settings typically consist of the lighting module, the image capture module, the image processing, and the anomaly detection module. This paper presents a prototype for quality inspections in cast-...

The vast majority of simplification algorithms are based roughly on the assumption that rendering time is related to the number of primitives, with the aim of reducing memory impact and rendering complexity. In this paper, we define more precisely the ...

Accurately replicating the appearance of real-world materials in computer graphics is a complex task due to the intricate interactions between light, reflectance, and geometry. In this paper we address the challenges of material representation, ...

Spectral rendering accurately simulates light-material interactions by considering the entire light spectrum, unlike traditional rendering methods that use limited color channels like RGB. This technique is particularly valuable in industries to assess ...

The Gaussian splatting methods are getting popular. However, their loss function only contains the ℓ1 norm and the structural similarity between the rendered and input images, without considering the edges in these images. It is well-known that the ...

This paper presents a study on the application of Heterogeneous Graph Neural Networks (HGNNs) for enhancing the security of complex social systems by identifying illicit and malicious behaviors. We focus on digital asset tokenization, a key component in ...

This study evaluates the effectiveness of machine learning (ML) and deep learning (DL) models in detecting COVID-19-related misinformation on online social networks (OSNs), aiming to develop more effective tools for countering the spread of health ...

The proliferation of hate speech on digital platforms has become a significant issue, and automated content moderation systems built on machine learning are a proposed solution. However, they face challenges in multilingual and low-resource settings due ...

This paper explores the intersection of emotional hermeneutics and artificial intelligence (AI), examining the challenges and potential of integrating deep emotional understanding into AI systems. Drawing on Wilhelm Dilthey’s distinction between "...

Recently, the issues of AI fairness and algorithmic oppression have received much interest due to the rising awareness of the dangers that AI poses to minority communities. While new methods of managing bias in AI are being developed, it may be ...

We present a procedure for assessing group creativity that allows us to compare the contributions of human interlocutors and chatbots based on generative AI such as ChatGPT. We focus on everyday creativity in terms of dialogic communication and test ...

Given the recent proliferation of fake news online, fact-checking has emerged as a critical defence against misinformation. Several fact-checking organisations are currently employed in the initiative to assess the truthfulness of online claims. ...

Interactive stories can be an effective approach for teaching purposes. One shortcoming is the effort necessary to author and create these stories, especially complex storylines with choices for the readers. Based on recent advances in Natural Language ...

LIRAI is a workshop series on Legal Information Retrieval and Legal Artificial Intelligence. It provides a forum for discussing current trends and challenges in legal artificial intelligence, specifically related to the hypertext nature of legal ...

We propose NeuronaBox, a flexible, user-friendly, and high-fidelity approach to emulate DNN training workloads. We argue that to accurately observe performance, it is possible to execute the training workload on a subset of real nodes and emulate the ...

Addressing sustainability issues requires collective action, with individuals playing a crucial role. Despite a willingness to shop responsibly, people lack the knowledge needed to make informed decisions, this information gap underpins the intention-...

Moral values play a fundamental role in how we evaluate information, make decisions, and form judgements around important social issues. Controversial topics, including vaccination, abortion, racism, and sexual orientation, often elicit opinions and ...

The healthcare sector is increasingly utilizing bots for patient management, chronic disease management, and health advice, providing 24/7 support and immediate medical responses. The language of these bots is crucial, impacting patient comfort, ...

The abundance of Educational Resources (ERs) has allowed people to have access to a vast amount of knowledge. However, it can be difficult, for both educators and learners, to navigate through these resources. One way to facilitate navigation is to ...

The current decline in bird species and protected natural areas highlights the importance of providing solutions to improve the understanding of bird biodiversity and its interaction with its environment. This study focuses on the development and ...