Essays about: "residual neural network"

Showing result 26 - 30 of 30 essays containing the words residual neural network.

  1. 26. Deep Learning Models for Human Activity Recognition

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : George Albert Florea; Filip Weilid; [2019]
    Keywords : ANN; Deep learning; DL; human activity recognition; ResNet; VGG16; Inception V3; transfer learning; ImageNet; Keras; AMI; Augmented Multi-party Interaction; LSTM; RCNN; CNN; RGB colored images; audio spectrograms; Neural Network;

    Abstract : AMI Meeting Corpus (AMI) -databasen används för att undersöka igenkännande av gruppaktivitet. AMI Meeting Corpus (AMI) -databasen ger forskare fjärrstyrda möten och naturliga möten i en kontorsmiljö; mötescenario i ett fyra personers stort kontorsrum. READ MORE

  3. 27. Noise Reduction in Flash X-ray Imaging Using Deep Learning

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Tobias Sundman; [2018]
    Keywords : flash x-ray imaging; machine learning; deep learning; neural network; locally connected layer; autoencoder; LCLS; GPU; tensorflow; python; U-Net; free electron laser; selu; scaled exponential linear unit; diffraction; simulation; residual; concatenation;

    Abstract : Recent improvements in deep learning architectures, combined with the strength of modern computing hardware such as graphics processing units, has lead to significant results in the field of image analysis. In this thesis work, locally connected architectures are employed to reduce noise in flash X-ray diffraction images. READ MORE

  4. 28. Automated Pulmonary Nodule Detection on Computed Tomography Images with 3D Deep Convolutional Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Antoine Broyelle; [2018]
    Keywords : Deep Learning; Artifical Neural Networks; Lung damages; Lung cancer; CT scans; Pulmonary Nodules; Detection; Region Proposal.;

    Abstract : Object detection on natural images has become a single-stage end-to-end process thanks to recent breakthroughs on deep neural networks. By contrast, automated pulmonary nodule detection is usually a three steps method: lung segmentation, generation of nodule candidates and false positive reduction. READ MORE

  5. 29. Developing a soprano classifier using FIR-ELM neural network

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Peter Cederblad; [2016]
    Keywords : FIR-ELM; Audio decomposition; Soprano classifier;

    Abstract : This thesis aims at investigate the feasibility of classifying the soprano singing voice type using a single layer neural network trained with the FIR-ELM algorithm after that the monaural auditory mixture has been segmented with the Harmonic, Percussive and Residual, HPR, decomposition algorithm, previously introduced by Driedger et al.Two different decomposition structures has been evaluated both based on the same HPR decomposition technique. READ MORE

  6. 30. Structural modeling of electricity spot prices, using a residual load and coal generation cost approach

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Per Gifvars; [2013]
    Keywords : Business and Economics;

    Abstract : This thesis aims at evaluating a couple of recently developed strategies for modeling the spot price of electricity. We use a structural modeling approach to model the fundamental behavior of total system load combined with separate models for wind- and solar energy infeed, connected to a number of supply functions to estimate the spot price from the system load. READ MORE