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Facility layout planning is a core discipline in production management, directly shaping operational efficiency, material flow, and cost structures. Despite its criticality, facility layout planning presents a complex combinatorial problem, often approached through...
Upcoming automotive regulations require near-zero emissions, making cold-start catalyst heating a key challenge. This work investigates post oxidation through secondary air injection into the exhaust manifold to oxidise unburned fuel from rich combustion, generating...
Industrial production is facing growing challenges due to more complex supply chains, shorter development cycles, and greater product variance. At the same time, the availability of production data and advances in artificial intelligence mean that the opportunities for...
The airflow that cars experience on the road is inherently unsteady, but aerodynamic development mainly occurs in steady-state environments. Xiao Fei aims to deepen the understanding of unsteady drag and the corresponding simulation methods. Wind tunnel measurements...
E-commerce operates in a highly dynamic and competitive environment, where customer satisfaction is key to success. Delivering personalized experiences at scale requires systems capable of reliably modeling individual customer behavior while respecting privacy and data...
The advent of artificial intelligence (AI) and machine learning (ML) has significantly transformed production management in industrial manufacturing by enabling data-driven decision-making. While human decision-making is valued for its adaptability and contextual...
Adaptation and change are imperative for products and companies to remain competitive. Managing these changes, however, is increasingly difficult and requires thorough planning and management. Especially in complex production systems, the efficient handling of these...
This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents. The system addresses the trade-off between high performance and transparency in RL...
Offshore wind farms are major contributors to sustainable energy generation. However, their installation is highly weather-dependent, making the planning of costly resources, like jack-up vessels or port spaces, challenging. While existing models support strategic and...
Automated driving requires robust and reliable perception systems, but rare and dangerous scenarios are often missing from real-world data. Kun Gao proposes an approach to scene data augmentation that combines real and virtual data to improve the performance of...
As digital circuits are at the core of most of our everyday technologies, society heavily relies on their precise and predictable behavior. However, this demand for correctness often clashes with the speed of today’s design workflows. Whereas a design can be...
Technological progress has made significant advances in manufacturing companies during the fourth industrial revolution. Production machines and their operation are leading to a sharp increase in the demands placed on personnel. Set-up processes on machines and systems...
The high prevalence of mental health disorders worldwide has created a big demand on mental health care professionals. To relieve personnel and provide increased access to care, the use of AI and VR has been researched for many decades. As the human-centered...
The development of the Internet, particularly the World Wide Web, is currently reaching its limits – both technically and in socio-cultural and economic terms. As a solution, a new form of the Internet is being promised: one that aims to overcome the boundaries...
Alia Salah introduces a multi-functional, model-based method for fault detection and identification in automotive electric machines. This approach integrates current vehicle diagnostics to detect faults early, before component failure. It utilizes digital twins and...
In this Open Access book Daniel Fuchs analyzes the potential impact of additive manufacturing-related design freedom on vehicle conception.In this context, the term Additive Manufacturing (AM) incorporates the technology field often referred to as 3D-Printing. The...
This book explores innovative methods to enhance cybersecurity by leveraging official and unofficial information sources on the web. While traditional approaches like Cyber Threat Intelligence (CTI) and Security Information and Event Management (SIEM) rely on past...
Recent advancements in medical and industrial Internet of Things have raised security concerns, as vulnerabilities can impact critical systems, workflows, privacy, and safety. The window of vulnerability, ranging from days to months, allows attackers to exploit...
This book provides an overview of the many new features becoming a reality in connected cars. It covers everything from the integration of Google and Facebook to services that help you find your parking spot, park your car via an app, or remotely close your sunroof when...
In today's fast-paced cybersecurity landscape, professionals are increasingly challenged by the vast volumes of cyber threat data, making it difficult to identify and mitigate threats effectively. Traditional clustering methods help in broadly categorizing threats but...
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