Essays about: "kernel principal component analysis"

Showing result 1 - 5 of 11 essays containing the words kernel principal component analysis.

1. 1. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Arvid Forsberg; [2022]
   Keywords : machine learning; aerodynamics; autoencoder; kernel transformation; principal component analysis; nonlinear; regression; modeling; surrogate model; reduced order modeling; neural network;

   Abstract : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. READ MORE

3. 2. Vibration-Based Terrain Classification for an Autonomous Truck

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

   Author : Lucas Lovén; [2022]
   Keywords : Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

   Abstract : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. READ MORE

4. 3. Skillnader i vårvetekärnors utseende : betydelse av sort, miljö och gödsling

   University essay from SLU/Dept. of Crop Production Ecology

   Author : John Pålsson; Magnus Hammargren; [2021]
   Keywords : kärnstorlek; kärnform; kärnvolym; rundhet; Cgrain Value; vårvete; lantsorter; evolutionära sorter; Triticum aestivum;

   Abstract : Intresset för lantsorter är något som ökar för att de är odlingssäkra i system med små insatser, förväntas klara framtida klimatförändringar med ökad risk för torka bra, samt för att de har goda bakningsegenskaper. Lantbrukare som odlar lantsorter upplever att de är småkorniga jämfört med moderna sorter och att kärnorna är rundare än hos moderna vårvetesorter. READ MORE

5. 4. Daily pattern recognition of dynamic origin-destination matrices using clustering and kernel principal component analysis

   University essay from KTH/Transportplanering

   Author : Zhiwu Dong; [2021]
   Keywords : origin-destination; pattern recognition; principal component analysis; kernel principal component analysis; k-means cluster; ursprung-destination; mönsterigenkänning; huvudkomponentanalys; analys av kärnhuvudkomponent; k-medelkluster;

   Abstract : Origin-Destination (OD) matrix plays an important role in traffic management and urban planning. However, the OD estimation demands large data collection which has been done in past mostly by surveys with numerous limitations. READ MORE

6. 5. Statistical Modelling of Plug-In Hybrid Fuel Consumption : A study using data science methods on test fleet driving data

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Theodor Matteusson; Niclas Persson; [2020]
   Keywords : Machine learning; Data science; Plug-in hybrid electric vehicle; Charge depletion; Charge sustaining; Fuel consumption; Maskininlärning; Data science; Ladd-hybrider; Charge depletion; Charge sustaining; Bränsleförbrukning;

   Abstract : The automotive industry is undertaking major technological steps in an effort to reduce emissions and fight climate change. To reduce the reliability on fossil fuels a lot of research is invested into electric motors (EM) and their applications. READ MORE