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This thesis covers three contributions in applications of neural networks. The first is related to diversity and ensemble learning, while the other two cover novel applications of the self-attention mechanism. An important aspect of training a neural network is the choice of objective function. Regression via Classification (RvC) is often used to tackle problems in deep learning where the target v
Recent years have proven the benefits of electrifying the road bound vehicle fleet. With new components entering, the general understanding as well as the components as such needs to be improved. Focus in the thesis is on the design of an electric machine based on specifications of requirements for a commercial heavy vehicle such as a truck or a bus. One strict requirement is that the machine has
The operating range in HCCI mode is limited by the excessive pressure rise rate and therefore high combustion induced noise. The HCCI range can be extended with turbocharging which enables increased dilution of the charge and thus a reduction of combustion noise. When the engine is turbocharged the intake charge will have a high temperature at increased boost pressure and can then be regulated in
Sustainable migration is the new objective of EU migration law, a term whose meaning and legal implications are unclear. Through a critical historical study of different areas of EU migration law, this book explores whether and how the past can guide the way for a contemporary understanding of sustainable migration, and it reveals the potentials and limits of this novel objective.
This paper investigates whether the exports of different products by the same firm are systematically interconnected. Using Swedish firm-registry data from 1997-2011, I first document that the distribution of firm export sales is skewed towards their best performing products (‘superstars’). I then use a novel instrumental variable approach to identify if the ‘superstar’ products induce more trade
