Essays about: "Parametric"
Showing result 1 - 5 of 687 essays containing the word Parametric.
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1. Investigation of Injury Predictors for Rat Neuro Trauma
University essay from KTH/Medicinteknik och hälsosystemAbstract : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. READ MORE
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2. Dagens och morgondagens hållbara landskapsarkitektur : klimatberäkning som vägvisare i designprocessen
University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Abstract : I dag är behovet av att hitta lösningar på klimatfrågan mer brådskande än någonsin och frågan kring hur vi ska rädda klimatet är en av de största i vår samtid. Senast 2045 ska Sverige inte ha några nettoutsläpp av växthusgaser. READ MORE
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3. Vehicle dynamics modelling of electromagnetic suspensions for MAGLEV applications
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : MAGnetic LEVitation Guidance System (MAGLEV) technology was commercially introduced relatively recently in the guided transport field. It is based on removing the wheels and rails of classic railway systems and supporting and guiding the train with magnets and magnetic forces instead. READ MORE
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4. Generation and detection of entangled single-photon pairs
University essay from Uppsala universitet/FREIAAbstract : Quantum information technology is an emerging field with important applications such as quantum cryptography and teleportation, quantum imaging and lithography. These applications make use of single photons and pairs of entangled photons. In this work, we experimentally generate and attempt to detect the entangled photons. READ MORE
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5. Point process learning for non-parametric intensity estimation with focus on Voronoi estimation
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets which are then used in prediction errors. READ MORE