Essays about: "thesis on computer science"
Showing result 36 - 40 of 285 essays containing the words thesis on computer science.
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36. Active Learning for Solving Expensive Optimization Problems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. READ MORE
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37. Detecting Failures in Electric Motors in a Simulated Setup Through Machine Learning
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapAbstract : The use of machine learning for predictive maintenance has been the focus of many studies, usually utilizing industrial setups consisting of actual industrial motors. This work examines the possibility of creating a simple setup to develop a machine learning model to detect electric motor failures, eliminating the need to rely on having access to industrial equipment in the early stages. READ MORE
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38. Measuring Porosity in Ceramic Coating using Convolutional Neural Networks and Semantic Segmentation
University essay from Linköpings universitet/DatorseendeAbstract : Ceramic materials contain several defects, one of which is porosity. At the time of writing, porosity measurement is a manual and time-consuming process performed by a human operator. READ MORE
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39. AUGMENTATION AND CLASSIFICATION OF TIME SERIES FOR FINDING ACL INJURIES
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This thesis addresses the problem where we want to apply machine learning over a small data set of multivariate time series. A challenge when classifying data is when the data set is small and overfitting is at risk. Augmentation of small data sets might avoid overfitting. READ MORE
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40. Transfer Learning for Automatic Author Profiling with BERT Transformers and GloVe Embeddings
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Historically author profiling has been used in forensic linguistics. However, it is not until the last decades that the analysis method has worked into computer science and machine learning. In comparison, determining author profiling characteristics in machine learning is nothing new. READ MORE
