Essays about: "Neural networks for pattern recognition."

Showing result 1 - 5 of 28 essays containing the words Neural networks for pattern recognition..

1. 1. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   University essay from Lunds universitet/Matematik LTH

   Author : Björn Elwin; Anton Fredriksson; [2023]
   Keywords : Mathematics and Statistics;

   Abstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE

3. 2. Study of pattern recognition of particle tracks with neural networks

   University essay from Uppsala universitet/Högenergifysik

   Author : Mário Cardoso; [2021]
   Keywords : particle physics; neural networks;

   Abstract : In this project we study the use of neural networks as a tool for particle track pattern recognition with the possibility of its implementation in the Trigger system at the ATLAS experiment [1]. By using a method named Hough transform we created a Convolutional Neural Network (CNN) that is able to train on the transformed images of muons merged with minimum bias. READ MORE

4. 3. Automatic identification of northern pike (Exos Lucius) with convolutional neural networks

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Axel Lavenius; [2020]
   Keywords : Northern pike; Esox Lucius; population monitoring; Convolutional Neural Network; CNN; VGG-network; semantic segmentation; image classification; pattern recognition; Gädda; Esox Lucius; populationsmätning; faltande neuralt nätverk; CNN; VGG-nätverk; semantisk segmentering; bildigenkänning; mönsterigenkänning;

   Abstract : The population of northern pike in the Baltic sea has seen a drasticdecrease in numbers in the last couple of decades. The reasons for this are believed to be many, but the majority of them are most likely anthropogenic. READ MORE

5. 4. Adaptive Energy Management Strategies for Series Hybrid Electric Wheel Loaders

   University essay from Linköpings universitet/Fordonssystem

   Author : Carolina Pahkasalo; André Sollander; [2020]
   Keywords : A-ECMS; ECMS; Equivalent Consumption Minimization Strategy; Dynamic Programming; Hybrid Electric Wheel Loader; Pattern Recognition; Machine Learning; Neural Networks; Learning Vector Quantization; Optimal Control;

   Abstract : An emerging technology is the hybridization of wheel loaders. Since wheel loaders commonly operate in repetitive cycles it should be possible to use this information to develop an efficient energy management strategy that decreases fuel consumption. READ MORE

6. 5. Estimation of Red Blood Cell-Count using Neural Networks

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

   Author : David Andersson; [2020]
   Keywords : Artificial neural networks; ANN; Convolutional neural networks; CNN; Red Blood Cells; Hematology; Image analysis; Regression; Malaria; Counting; Automation; Microscopy; Physics and Astronomy;

   Abstract : Quantification through image analysis is used in a multitude of fields, and often requires algorithms tailored to the specific task and object that needs to be quantified. The need for flexibility means that such segmentation algorithms are quickly becoming outdated with the advent of convolutional neural networks, which can be trained to fit the specific requirements of the user. READ MORE