Essays about: "automatiskt"
Showing result 1 - 5 of 551 essays containing the word automatiskt.
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1. MANGO - Generating 2D-Magnetic Field Maps From Normal-Conducting Magnets Of Experimental Areas
University essay from KTH/FysikAbstract : This thesis discusses the development of MANGO, a tool created to model normal-conducting magnets which were installed in the 1970s in the experimental areas at CERN, and store their analysis. MANGO formulates an answer to two problems faced by the physicists of the Beam Department when they model a beam line: first, how to produce new magnetic field maps and, second, how to easily access existing ones? It contains a multi-use package that offers an automated process to produce magnetic field maps from finite-element models of magnets. READ MORE
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2. Double Machine Learning for Insurance Price Optimization
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. READ MORE
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3. Code Synthesis for Heterogeneous Platforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. READ MORE
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4. Robust Statistical Jump Models with Feature Selection
University essay from Lunds universitet/Matematisk statistikAbstract : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. READ MORE
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5. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. READ MORE
