Essays about: "residual neural network"

Showing result 11 - 15 of 30 essays containing the words residual neural network.

1. 11. Optimising the present and designing the future: a novel SPS injection system

   University essay from Uppsala universitet/FREIA

   Author : Elias Waagaard; [2022]
   Keywords : Numerical optimisation; injection; Super Proton Synchrotron; neural networks;

   Abstract : The Super Proton Synchrotron (SPS) injection system plays a fundamental role to preserve the quality of injected high-brightness beams for the Large Hadron Collider (LHC) physics program and to maintain the maximum storable intensity. The present system is the result of years of upgrades and patches of a system not conceived for such intensities and beam qualities. READ MORE

3. 12. Adaptive detection of anomalies in fuel system of Saab 39 Gripen using machine learning : Investigating methods to improve anomaly detection of selected signals in the fuel system of Gripen E.

   University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

   Author : Ahlgren Bergström Olof; [2022]
   Keywords : Machine Learning; Adaptive anomaly detection; Modeling; Fuel system; Saab Gripen;

   Abstract : The process of flying fighter jets naturally comes with tough environments and manoeu-vres where temperatures, pressures and forces all have a large impact on the aircraft. Part degeneration and general wear and tear greatly affects functionalities of the aircraft, and it is of importance to carefully monitor the well being of an aircraft in order to avoid catastrophic accidents. READ MORE

4. 13. Neural Networks for Material Decomposition in Photon-Counting Spectral CT

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Hugo Charrier; [2022]
   Keywords : PCCT; X-ray; scanner; photon counting; AI; neural networks;

   Abstract : Photon counting computed tomography scanners constitute a major improvement of the field of computed tomography, opening various prospective and enabling the decomposition of computed tomography images into different materials. The material decomposition algorithm, mapping photon counts to material pathlengths, relies on a forward model with Poisson statistics. READ MORE

5. 14. Evaluating Transfer Learning Capabilities of Neural NetworkArchitectures for Image Classification

   University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

   Author : Mohammed Darouich; Anton Youmortaji; [2022]
   Keywords : Residual Neural Network; Convolutional Neural Network; Vision Transformers; Transfer Learning; Neural Networks; Image Classification.;

   Abstract : Training a deep neural network from scratch can be very expensive in terms of resources.In addition, training a neural network on a new task is usually done by training themodel form scratch. Recently there are new approaches in machine learning which usesthe knowledge from a pre-trained deep neural network on a new task. READ MORE

6. 15. Identifying signatures in scanned paperdocuments : A proof-of-concept at Bolagsverket

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Björn Norén; [2022]
   Keywords : Pytorch; Neural Networks; Machine Learning; Deep Neural Networks; Convolutional Neural Networks; Computer Vision; Image Detection;

   Abstract : Bolagsverket, a Swedish government agency receives cases both in paper form via mail, document form via e-mail and also digital forms. These cases may be about registering people in a company, changing the share capital, etc. READ MORE