Essays about: "intensity domain"

Showing result 1 - 5 of 31 essays containing the words intensity domain.

  1. 1. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania

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

    Author : Mikael Westlund; [2023]
    Keywords : Autonomous driving; Deep Learning; Domain Adaptation; Image classification; LiDAR; Transfer Learning; Självkörande fordon; Djupinlärning; Domain Adaptation; Bildklassificering; LiDAR; Överföringsinlärning;

    Abstract : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. READ MORE

  3. 2. Condition monitoring of a linear rail and carriage system through vibration analysis

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Johan Hultenheim; [2023]
    Keywords : ;

    Abstract : Condition-based maintenance is a highly relevant topic as its implementation can save both components and man-hours. Downtime is often expensive in industrial environments because machines are expensive investments; often, the machines are also part of a larger production line where it is of great importance that no bottlenecks occur. READ MORE

  4. 3. Far-field pattern synthesis of transmitarray antennas using convex optimization techniques

    University essay from KTH/Tillämpad fysik

    Author : Marie Defives; [2022]
    Keywords : Applied physics; Transmitarray antennas; convex optimization; Tillämpad fysik; Transmitarray-antenner; konvex optimering;

    Abstract : Transmitarrays antennas (TAs) can be seen as the planar counterpart of optical lenses. They are composed of thin radiating elements (unit cells) which introduce different local phase shifts on an incident electromagnetic wave, emitted by a primary source, and re-radiate it. READ MORE

  5. 4. Narrow Pretraining of Deep Neural Networks : Exploring Autoencoder Pretraining for Anomaly Detection on Limited Datasets in Non-Natural Image Domains

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Matilda Eriksson; Astrid Johansson; [2022]
    Keywords : CNN; convolutional neural network; autoencoder; variational autoencoder; anomaly detection; SPADE; limited dataset; non-natural image domain; depth domain; scatter domain; intensity domain; machine learning;

    Abstract : Anomaly detection is the process of detecting samples in a dataset that are atypical or abnormal. Anomaly detection can for example be of great use in an industrial setting, where faults in the manufactured products need to be detected at an early stage. READ MORE

  6. 5. Implementing spatial variance in the rate of photolytic breakdown of NO2 in urban street canyons

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Fabian Friberg; [2022]
    Keywords : cfd; computational fluid dynamics; NOx; street canyon; NO2; NO; O3; photolysis; OpenFOAM; Physics and Astronomy;

    Abstract : In this study a module for calculating the solar exposure of individual fluid cells was developed to more accurately represent the effect of photolysis on the pollutant dispersion in an urban street canyon. The module was tested and validated on 12 different cases, each with a different geographical location, time of year and/or time of day. READ MORE