Essays about: "HEAVY MACHINE"
Showing result 1 - 5 of 150 essays containing the words HEAVY MACHINE.
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1. Machine Learning for Pulse Shape Analysis of Heavy Ions
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : Most of the Generation IV nuclear reactors designs are intended to operate with a fast neutron spectrum. This necessitates further investigation into nuclear fuel behaviour because fast neutrons yield a higher neutron multiplicity with fission fragments, significantly impacting the criticality assessment of these reactors. READ MORE
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2. Thermal Modelling of Permanent Magnet Synchronous Motor Windings in Heavy-Duty Electric Vehicles
University essay from Linköpings universitet/FordonssystemAbstract : A significant challenge with permanent magnet synchronous motors (PMSMs) is thermal management. Thermal stress can lead to irreversible damage to components, and to enable efficient cooling, a thermal model is needed. READ MORE
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3. Design of transport solution for truck plant line simulator
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : Volvo Trucks is the second-largest heavy-duty truck provider in the world. As of now they are working towards fossil free transport solutions. READ MORE
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4. Automation of forest road inventory using computer vision and machine learning
University essay from Umeå universitet/Institutionen för fysikAbstract : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. READ MORE
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5. Portfolio Risk Modelling in Venture Debt
University essay from KTH/Matematisk statistikAbstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE