Essays about: "autoencoders"

Showing result 11 - 15 of 100 essays containing the word autoencoders.

1. 11. Anomaly Detection inCombustion Engines withSound Recognition

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Lukas Scmid; Paula Borst; [2023]
   Keywords : ;

   Abstract : As a global manufacturer of commercial vehicles, Scania is aiming for delivering high-quality products to its customers. Therefore, testing the produced components before assembling the final product and delivering it to the customer is key. READ MORE

3. 12. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

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

   Author : Alfred Nilsson; [2023]
   Keywords : Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

   Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE

4. 13. Estimating Poolability of Transport Demand Using Shipment Encoding : Designing and building a tool that estimates different poolability types of shipment groups using dimensionality reduction.

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

   Author : Marvin Kërçini; [2023]
   Keywords : Poolability; Transport networks; Autoencoder; Dimensionality reduction; Vehicle Routing Problem; Raggruppabilità; Reti di trasporto; Autoencoder; Riduzione della dimensionalità; Vehicle Routing Problem; Poolbarhet; Transportnätverk; Autokodare; Dimensionsreduktion; Fordonsdirigeringsproblem;

   Abstract : Dedicating less transport resources by grouping goods to be shipped together, or pooling as we name it, has a very crucial role in saving costs in transport networks. Nonetheless, it is not so easy to estimate pooling among different groups of shipments or understand why these groups are poolable. READ MORE

5. 14. An Open-Source Autoencoder Compression Tool for High Energy Physics

   University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Author : Axel Gallén; [2023]
   Keywords : Physics; Particle Physics; Analysis; Machine Learning; Neural Networks; Autoencoders; Data Compression; Lossy Compression; Baler; Physics and Astronomy;

   Abstract : A common problem across scientific fields and industries is data storage. This thesis presents an open-source lossy data compression tool with its foundation in Machine Learning - Baler. Baler has been used to compress High Energy Physics (HEP) data, and initial compression tests on Computational Fluid Dynamics (CFD) toy data have been performed. READ MORE

6. 15. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

   Author : Ziyou Li; [2023]
   Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

   Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE