Essays about: "yes we can"
Showing result 1 - 5 of 49 essays containing the words yes we can.
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1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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2. Quality enhancement of time-resolved computed tomography scans with cycleGAN
University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenAbstract : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. READ MORE
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3. SubKluster: Novel method to bin scaffolds from cereal genomes into subgenomes using substring frequency analysis
University essay from Lunds universitet/Examensarbeten i bioinformatikAbstract : The genome of the Belinda variety of the hexaploid oat (Avena sativa) has recently been sequenced and assembled. This project aims to improve the assembly by clustering the thousands of scaffolds into their three ancestral subgenomes using Principle Component Analysis (PCA) of kmer and repeat-element frequencies. READ MORE
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4. 3D CFD Simulations of Hydrogen Engine Combustion
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : With the trend of decarbonization, the transport sector is exploring possibilities of fossil fuel free solutions. Hydrogen can be a potential fuel for future engine applications. In this work, the concept of H2 HPDI is investigated, where a pilot diesel injection ignites the hydrogen jet. READ MORE
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5. Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing
University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenAbstract : The main aim of this bachelor thesis is to push the limits of 3D X-ray imaging by studying the minimum number of projections required to retrieve high-quality reconstructions for additive manufacturing processes. This project first focuses on understanding how X-ray tomography works, by reconstructing additive manufacturing data already obtained (from PSI, TOMCAT beamline) using two standard reconstruction algorithms, GRIDREC and SIRT. READ MORE