Essays about: "high performance network"
Showing result 31 - 35 of 775 essays containing the words high performance network.
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31. Classification of Cable Shoe Presses on an Embedded System Using a Neural Network Implemented by Hand
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Pressing cables with cable shoes currently involves the use of high pressure to ensure successful crimping. However, this approach lacks the ability to detect when the pressing has been completed. Elpress intends to develop a handheld tool that can classify cables in real-time and stop the pressing before unnecessary energy is lost. READ MORE
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32. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). READ MORE
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33. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. READ MORE
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34. Performance comparison of data mining algorithms for imbalanced and high-dimensional data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. READ MORE
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35. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE