Essays about: "artificial neural network image processing"

Showing result 16 - 20 of 25 essays containing the words artificial neural network image processing.

1. 16. Revision of an artificial neural network enabling industrial sorting

   University essay from Uppsala universitet/Institutionen för teknikvetenskaper

   Author : Henrik Malmgren; [2019]
   Keywords : artificial neural networks; machine learning; deep learning; connectionism; pattern recognition; machine learning; automation; image analysis; information technology; applied mathematics; mathematical optimization; information theory; mathematical statistics; mathematical models; stochastic models; probabilities; chance; approximations; algorithms; computer programs; computer software; signal processing; high performance computing; numerical methods; high technology industries; sustainable development; artificiella neurala nätverk; maskininlärning; djup maskininlärning; konnektionism; mönsterigenkänning; automatisering; bildanalys; informationsteknik; tillämpad matematik; optimering; informationsteori; statistisk inferens; matematiska modeller; stokastiska modeller; sannolikhetskalkyl; slumpen; approximationer; algoritmer; datorprogram; programvara; signalbehandling; högpresterande beräkningar; numeriska metoder; teknikutveckling; maskinindustri; högteknologisk industri; maskinhandel; skrothandel; bärkraftig utveckling;

   Abstract : Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line. The present thesis describes theoretical background for creating a classifier and explores the effects of introducing a set of relatively recent techniques to an existing ensemble of classifiers in use for an industrial sorting system. READ MORE

3. 17. Real-time hand pose estimation on a smart-phone using Deep Learning

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

   Author : Valentin Gourmet; [2019]
   Keywords : Hand joints; Deep Learning; Convolutional neural networks; Artificial intelligence; Embedded devices.;

   Abstract : Hand pose estimation is a computer vision challenge that consists of detecting the coordinates of a hand’s key points in an image. This research investigates several deep learning-based solutions to determine whether or not it is possible to improve current state-of-the-art detectors for smartphone applications. READ MORE

4. 18. Machine Learning Based Video Editing Toolbox for Automatic Summary of Medical Videos

   University essay from Lunds universitet/Matematik LTH

   Author : Olle Oswald; Emil Nilén; [2019]
   Keywords : machine learning; image analysis; video summary; medical video; artificial neural networks; Mathematics and Statistics;

   Abstract : Recording of medical procedures makes it possible for medical staff to review their work, learn from the mistakes and produce material for education. Medical videos tend to be long, which has an impact on usability and raises issues concerning memory storage. READ MORE

5. 19. Classifying Material Defects with Convolutional Neural Networks and Image Processing

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Jawid Heidari; [2019]
   Keywords : artificial neural network; CNN; machine learning; convolutional neural network; image processing;

   Abstract : Fantastic progress has been made within the field of machine learning and deep neural networks in the last decade. Deep convolutional neural networks (CNN) have been hugely successful in imageclassification and object detection. These networks can automate many processes in the industries and increase efficiency. READ MORE

6. 20. Developing a spiking neural model of Long Short-Term Memory architectures

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

   Author : Isabella Pozzi; [2018]
   Keywords : Physics and Astronomy;

   Abstract : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. READ MORE