GOODIT

Six years after the entry into force of the GDPR, European companies and organizations still have difficulties complying with it: the amount of fines issued by the European data protection authorities is continuously increasing. Personal data transfers ...

CoinJoin is a privacy-enhancing technique used in cryptocurrency transactions, designed to obfuscate the ownership of funds by amalgamating multiple inputs, thereby complicating the task of linking identities to addresses. While traditional methods for ...

Nowadays, inertial sensors are embedded in almost every smartphone and are a key enabler for a wide variety of applications that build on motion. However, in the context of major mobile operating systems, these sensors do not require any permission to ...

The complex system of life on Earth, biodiversity, provides the essential resources for human survival. However, humanity is the primary driver of species extinction, accelerating the extinction rate to 100-1000 times higher than pre-industrial times. ...

The rapid evolution of Large Language Models (LLMs), exemplified by GPT-4, has ushered in a transformative era in artificial intelligence (AI). This paper introduces the concept of Citizen-Centric Multiagent Systems based on Large Language Models (C-...

Dune segmentation is a fundamental task for geographers’ efforts in tackling the global desertification problems. Geographers often use visual interpretation to segment dunes, thus developing valuable insights into the ever-changing conditions that ...

Estimating the density of people in a restricted space (such as a classroom, a waiting room, or a carriage of a train or subway) aids both users and administrations in understanding the dynamics within their spaces and managing and organising them ...

Artificial intelligence (AI) is a disruptive technology that has achieved remarkable breakthroughs across various domains and is reshaping our daily lives. However, AI’s resource-intensive, time-consuming, and domain-specific nature creates a ...

The use of Large Language Models (LLMs) to counter problematic smartphone use and support users’ digital wellbeing has recently gained research interest. Yet, such an approach is still in its infancy, particularly when compared to traditional digital ...

This literature review addresses the challenges of traditional donation systems which are intended to be solved through the use of blockchain technology. The study examines existing literature that aim to improve donation processes by leveraging ...

The involvement of the general public or volunteers in research has evolved over time. Terms such as ‘subjects’ have been replaced by ‘participants’ and are accompanied by an aspiration to actively engage people in research. Under the banner of Community ...

This paper examines three existing frameworks developed by IEEE, UNICEF, and the World Economic Forum (WEF) that provide guidance on age-appropriate services and AI systems for children. We conduct a multidimensional analysis across several dimensions: ...

Fall detection in the elderly population is a typical application of pattern recognition, where machine learning algorithms have shown good performance results in the scientific literature. Nevertheless, the usual large dimension of the networks ...

Achieving fairness in AI systems is a critical yet challenging task due to conflicting metrics and their underlying societal assumptions, e.g., the extent to which racist and sexist societal processes are presumed to cause harm and the extent to which ...

In the landscape of rapidly evolving Artificial Intelligence (AI) technologies and growing associated ethical concerns, we propose integrating ethical considerations into daily practices of the AI development teams, to address ethical concerns early, at ...

The increasing development and utilization of Large Language Model (LLM) services have demonstrated many benefits in different contexts. However, LLM services are mainly available in the public cloud and require huge computing resources to operate, thus ...

The population growth and urbanisation trend in Africa has exacerbated municipal solid waste (MSW) generation, posing significant environmental pollution and health hazards - effecting the United Nations Sustainable Development Goals 3, 6, 14 and 15. ...

As healthcare is becoming increasingly digitally connected, the use of wearable technologies for self-monitoring of overall health and mental well-being has become ubiquitous, bringing new challenges related to the data transmission and processing. This ...

The emergence of artificial intelligence and digitization of the power grid introduced numerous effective application scenarios for AI-based services for the smart grid. Nevertheless, adopting AI in critical infrastructures presents challenges due to ...

Proper waste management is a critical aspect of sustainable living. Many sustainable communities have implemented various initiatives to support sustainability through better waste management. However, the knowledge required for proper waste management ...

Regression models of natural language content are widely popular in many applications, such as sentiment analysis, stance detection and emotion detection. The multidimensional Russell and Mehrabian’s Valence-Arousal-Dominance (VAD) model has been ...

Studies over the past decade have shown that Internet Addiction (IA), can impact adolescents’ health across physical, mental, and social domains. While extensive research has explored adolescents' vulnerability to IA, the role of parental influence ...

With technology for social good at the forefront of this work, we present a platform demonstrating the use of inclusive and accessible IT for education and other domains. The design and development of video sharing platform, “Signifier” is discussed, ...

The online safety of minors is a complex issue that legislators are striving to address. Numerous initiatives aim to define policies and best practices to mitigate the risks associated with the use of technologies and applications by young individuals, ...

The integration of socially assistive robots (SARs) in healthcare has the potential to revolutionize physical health assessments by providing standardized, reliable, and engaging methods for evaluating functional mobility and muscle strength. This paper ...

’A Night Out’ is a transformational video game designed and developed with the aim of raising awareness of hate crimes towards the LGBTQ+ population in Denmark. With the goal of contributing to the United Nations Sustainable Development Goal of equality, ...

In the rapidly transforming automotive sector, the adoption of the Digital Twin technology marks a significant evolution, offering real-time interactions within the vehicle ecosystem. This technology not only enhances the personalization of driving ...

It is now widely acknowledged that machine learning models, trained on data without due care, often exhibit discriminatory behavior. Traditional fairness research has mainly focused on supervised learning tasks, particularly classification. While ...

The decision-making of the agents in a matching is led by their preferences. Two-sided matching with known preferences of the agents has been studied for a long time. Present-day matching applications require considering stochastic environments where ...

Older women represent the disadvantaged side of digital inequality as an extension of social, economic, and cultural inequalities. This research aims to explore the Digital Competence Training Program (DCTP) designed as a model to overcome the lack of ...