Search for dissertations about: "INDUSTRIAL MACHINE DESIGN"
Showing result 16 - 20 of 102 swedish dissertations containing the words INDUSTRIAL MACHINE DESIGN.
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16. Machine Learning In Design Engineering and Manufacturing
Abstract : Artificial intelligence (AI) has made significant strides in various fields, challenging conventional notions of computer capabilities. However, while data science research primarily concentrates on refining AI models, there are numerous challenges associated with integrating AI into industrial applications. READ MORE
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17. Towards Digitization and Machine learning Automation for Cyber-Physical System of Systems
Abstract : Cyber-physical systems (CPS) connect the physical and digital domains and are often realized as spatially distributed. CPS is built on the Internet of Things (IoT) and Internet of Services, which use cloud architecture to link a swarm of devices over a decentralized network. Modern CPSs are undergoing a foundational shift as Industry 4. READ MORE
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18. Introducing a procedural knowledge model for enhancing industrial process adaptiveness
Abstract : Industrial processes are mainly based on procedural knowledge that must be continually elicited from experienced operators and learned by novice operators. In the context of Industry 4. READ MORE
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19. Systematic Analysis of Engineering Change Request Data - Applying Data Mining Tools to Gain New Fact-Based Insights
Abstract : Large, complex system development projects take several years to execute. Such projects involve hundreds of engineers who develop thousands of parts and millions of lines of code. During the course of a project, many design decisions often need to be changed due to the emergence of new information. READ MORE
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20. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches
Abstract : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. READ MORE