Essays about: "DCNN"
Showing result 1 - 5 of 6 essays containing the word DCNN.
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1. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE
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2. Evaluating Response Images From Protein Quantification
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Gyros Protein Technologies develops instruments for automated immunoassays. Fluorescent antibodies are added to samples and excited with a laser. This results in a 16-bit image where the intensity is correlated to concentration of bound antibody. READ MORE
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3. Evaluating DCNN architecturesfor multinomial area classicationusing satellite data
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : The most common approach to analysing satellite imagery is building or object segmentation,which expects an algorithm to find and segment objects with specific boundaries thatare present in the satellite imagery. The company Vricon takes satellite imagery analysisfurther with the goal of reproducing the entire world into a 3D mesh. READ MORE
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4. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip
University essay from Uppsala universitet/Avdelningen för datorteknikAbstract : In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluated. The thesis’ starting point was a previousthesis which evaluated possible deep learning models and frameworks for object detection on infra-red images conducted in the spring of 2018. READ MORE
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5. Object Detection in Infrared Images using Deep Convolutional Neural Networks
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In the master thesis about object detection(OD) using deep convolutional neural network(DCNN), the area of OD is being tested when being applied to infrared images(IR). In this thesis the, goal is to use both long wave infrared(LWIR) images and short wave infrared(SWIR) images taken from an airplane in order to train a DCNN to detect runways, Precision Approach Path Indicator(PAPI) lights, and approaching lights. READ MORE