Abstract The field of autonomous vehicles is gaining wide recognition in the industry, academia as well as socialmedia. However, there is a lack of knowledge on expectations of people regarding […]
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This project focus on the system perspective and includes what a new disruptive machine concept and how energy infrastructure should be designed, focusing on productivity, flexibility, economy and the requirements of the electricity network
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Abstract The emergence of IoT has propelled the traditionally known Product-Service System (PSS) to be characterized by smarter technologies, enabling them to collect and process data from the operational stage […]
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In order to achieve scalability and robustness, verification and validation (V&V) of self-driving vehicle systems need to be largely performed virtually. This requires validated models on sensors, vehicles and environments […]
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Omsri Kumar Aeddula presented his licentiate thesis entitled “Data-Driven Decision Support Systems for Product Development – A Data Exploration Study Using Machine Learning” in front of an hybrid audience of […]
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Project ASPECT aims to, based on learnings from pilot Electric-Site, lift the technology to an energy optimized solution to scale in both volume and size. Focus for this project is […]
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In the project we are developing digitalized services to increase the level of trusted decision making to optimise overall site systems in off-road transport applications. By developing data-driven models for […]
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The machine tool investment for stamping (presses and tools) is cost intensive in the automotive industry. The machine tool investment for stamping (presses and tools) is cost intensive in the […]
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Abstract The digitalization era has brought about unprecedented challenges for the manufacturing industries, pushing them to deliver solutions that encompass both product and service-related dimensions, known as Product-service Systems. This […]
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