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Showing result 1 - 5 of 6 essays matching the above criteria.

  1. 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 reglerteknik

    Author : M Asjid Tanveer; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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

  3. 2. Evaluating Response Images From Protein Quantification

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Mathias Engström; Erik Olby; [2020]
    Keywords : Deep Learning; Protein Quantification; Gyros; Gyrolab; Automation; Image Processing; Simulation; CNN; DCNN; Image Simulation; Artefact Detection; Image Quality; Machine Learning; Image Classification;

    Abstract : 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

  4. 3. Evaluating DCNN architecturesfor multinomial area classicationusing satellite data

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Karol Wojtulewicz; Viktor Agbrink; [2020]
    Keywords : Segmentation; FCN; Computer Vision; Autoencoder; Area classification;

    Abstract : 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

  5. 4. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip

    University essay from Uppsala universitet/Avdelningen för datorteknik

    Author : Martin Reiche Myrgård; [2019]
    Keywords : Neurala nätverk; MPSoC; FPGA; DCNN;

    Abstract : 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

  6. 5. Object Detection in Infrared Images using Deep Convolutional Neural Networks

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Markus Jangblad; [2018]
    Keywords : Object detection; Infrared images; Deep Convolutional Neural Network; Objektdetektering; Infraröda bilder; neurala nätverk;

    Abstract : 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