Search for dissertations about: "Network learning"
Showing result 1 - 5 of 462 swedish dissertations containing the words Network learning.
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1. Co-constructing Expertise : Competence Development through Work-Integrated e-Learning in joint Industry-University Collaboration
Abstract : This thesis is inter-disciplinary and proceed from the ongoing challenges of the increased digitalization, automation and robotization that impact the manufacturing industry's emergent need of high-qualified practitioners. Digitalization also challenges universities to open up to external collaboration and to design blended e-learning targeting industry knowledge needs. READ MORE
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2. Machine learning for building energy system analysis
Abstract : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. READ MORE
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3. Acquisition of Capabilitities through International Technology Transfer
Abstract : The focus in this thesis is on the acquisition of static and dynamic capabilities in LDC industry. This has been studied in small industries in Tanzania, which were started through international technology transfer, in which small producing firms from Sweden acted as technology suppliers (The Sister Industry Programme). READ MORE
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4. Sharing to learn and learning to share : Fitting together metalearning and multi-task learning
Abstract : This thesis focuses on integrating learning paradigms that ‘share to learn,’ i.e., Multitask Learning (MTL), and ‘learn (how) to share,’ i.e. READ MORE
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5. Network Parameterisation and Activation Functions in Deep Learning
Abstract : Deep learning, the study of multi-layered artificial neural networks, has received tremendous attention over the course of the last few years. Neural networks are now able to outperform humans in a growing variety of tasks and increasingly have an impact on our day-to-day lives. READ MORE