Essays about: "artificial neural networks"

Showing result 1 - 5 of 459 essays containing the words artificial neural networks.

1. 1. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks

   University essay from Uppsala universitet/Högenergifysik

   Author : Anton Holmberg; [2022]
   Keywords : Askaryan emission; Radio detection of neutrinos; in-ice propagation; neutrino; Generative adversarial networks; GAN; WGAN; Neural networks; NN; surrogate model; IceCube; deep learning; generative model;

   Abstract : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. READ MORE

3. 2. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity

   University essay from Uppsala universitet/Signaler och system

   Author : David Brunell; [2022]
   Keywords : Siamese network; convolutional neural network;

   Abstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE

4. 3. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

   Author : Serghei Socolovschi; [2022]
   Keywords : Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

   Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE

5. 4. A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents

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

   Author : Erik Svensson; [2022]
   Keywords : ;

   Abstract : Filing invoices under booking accounts can be a time-consuming task that could be alleviated by machine learning algorithms. There are two possible main methods for an algorithm to learn to classify such data: use a machine learning algorithm directly on the images, or extract words as tokens and use a machine learning algorithm on the set of words generated. READ MORE

6. 5. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios

   University essay from KTH/Hälsoinformatik och logistik

   Author : Tariq Daoud; Emanuel Zere Goitom; [2022]
   Keywords : Computer vision; deep learning; machine learning; artificial neural networks; convolutional neural networks; YOLOv4; Datorseende; djupinlärning; maskininlärning; artificiella neurala nätverk; konvolutionella neurala nätverk; YOLOv4;

   Abstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE