Essays about: "Oversampling ratio"
Showing result 1 - 5 of 8 essays containing the words Oversampling ratio.
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1. Evaluation of Oversampling Methods For Artificial Neural Network Classification of Lung Cancer
University essay from KTH/DatavetenskapAbstract : New methods of assessing lung cancer (LC) risk is being researched. Gregory R. Hart et. al [15] developed an artificial neural network (ANN) that used many features related to LC risk. READ MORE
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2. Tackling imbalanced data in Random Forest to predict free-to-fee transitions of a subscription SaaS-application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis we investigate different methods to tackle imbalanced data when using Random Forest for classification. The data comes from a subscription SaaS-application, namely Mentimeter, which allows users to create interactive presentations. READ MORE
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3. Classification of post-wildfire aerial imagery using convolutional neural networks : A study of machine learning and resampling techniques to assist post-wildfire efforts
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Assessment of post-wildfire damages to human structures is a manual task which currently uses ground-level observations of the structures by a human inspector to classify the burn severity of the affected structure. This study investigated the potential of using machine learning and specifically computer vision techniques in order to produce a classification of burn severity using post-wildfire aerial imagery. READ MORE
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4. Quantization Noise Shaping for LTE Fronthaul Downlink
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The modern mobile networks such as the Cloud Radio Network Access (C-RAN) are developing to deal with upcoming requirements in the current generation $4$\textsuperscript{th} Generation (4G) and the upcoming generation i.e. the $5$\textsuperscript{th} Generation (5G). READ MORE
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5. An Evaluation of Interpolation and Oversampling Effects on Image Quality in Synthetic Aperture Radar Processing with Global Back-projection
University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingAbstract : For time domain SAR processing algorithms, such as Global Back-projection, interpolation becomes a part of the implementation. In order for the interpolation to yield good results, the oversampling rate used in the sampling of the original data may constitute an important factor. READ MORE
