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Tunnel excavation using tunnel boring machines (TBMs), has become increasingly common in recent years, despite the fact that precise evaluation of certain risks have not kept pace with the use of these machines. One of the risks easily overlooked by Engineer and Contractor alike are the effects of...

This thesis presents an inquiry into the threats and dangers facing journalists working in conflict areas. It places a particular focus on the nature and effects of antipress violence and seeks to develop knowledge that may contribute to improving the safety of journalists. Through interviews with...

Left ventricular (LV) global longitudinal strain (GLS) offers advantages over LV ejection fraction, including improved diagnostic sensitivity, reproducibility, and prognostic value. However, current semiautomatic analyses are time-consuming and operator dependent, impeding widespread adoption of GLS...

Technical Debt (TD) remains a critical challenge in software engineering, degrading maintainability and long-term quality. While traditional TD detection methods rely heavily on static analysis and manual inspection, recent advances in Large Language Models (LLMs) offer a compelling new approach for...

Identifying fish species from underwater imagery is challenging due to variable conditions such as water clarity, lighting, and background complexity, which often cause models to fail when applied beyond their original training domains. This study addresses these challenges by focusing on the...

The acceleration of sustainability transitions increasingly hinges on industrial transformation, i.e., structural changes in the sectors that produce, use, and support low-carbon technologies. Such changes shape the pace and direction of transitions by affecting the availability of critical inputs...

Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that challenges early diagnosis due to its diverse manifestations across different developmental stages. Timely and accurate detection is essential to enable interventions that significantly enhance developmental outcomes...

Engineering Digital Twins (EDT) presents a multifaceted challenge that extends beyond managing the lifecycle of a Digital Twin (DT) to include its continuous, dynamic interaction with the lifecycle of the actual object, system, or process it represents, referred to as the Actual Twin (AT). The...

The Internet of Robotic Things (IoRT) represents the rise of a new paradigm enabling robots to serve not only as autonomous units but also as intelligent interconnected entities that can interact, collaborate, and share information through the edge, cloud and other data networks. IoRT is a...

In the rapidly evolving landscape of transportation, mobility, and logistics, the last-mile represents the final and crucial leg of the delivery journey. It involves goods travelling from a transportation hub to the ultimate destination. This is the most expensive and time-sensitive part of the...

Meltwater is produced whenever ice is used to cool fresh fish. The highest flow rates of meltwater are generated early during transportation while fish is in the process of reaching 0 °C, challenging collection systems onboard trucks. This report provides measurements of meltwater accumulation early...

The book offers a glimpse into the vibrant ecosystem shaping the future of edge AI technologies and applications. The chapters of the book describe novel solutions and rigorous investigations spanning verification and validation, federated learning, neuromorphic design, scalable architectures...

Compliance and trustworthiness are critical to the success of modern data marketplaces, where sensitive information is exchanged across organisational and jurisdictional boundaries. The UPCAST project addresses these challenges through a modular, plugin-based architecture that integrates privacy...

Context In systems of systems (SoSs), independent constituent systems operated by different organizations cooperate towards a common goal. This empirical paper is the first to explore what these organizations can learn from high-reliability organization (HRO) theory when collaborating on software...

Cyber risk assessment is a cornerstone of cybersecurity management, yet current practices remain largely manual, static, and resource intensive. This paper presents the CORAS Threat Modeler, an open-source tool that leverages large language models (LLMs), retrieval-augmented generation (RAG), and...