Essays about: "Automatic classification"

Showing result 16 - 20 of 233 essays containing the words Automatic classification.

  1. 16. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Erika Ax; Elin Djerf; [2023]
    Keywords : mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Abstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE

  3. 17. Evaluating the quality of ultrasonic signals using machine learning : A comparative study on binary classification methods applied on ultrasonic chirp signals

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

    Author : Fabian Revilla; [2023]
    Keywords : mechatronics; machine learning; ultrasonic; bolt-tightening; nutrunner; clamp force control; elongation control; pre-load control; cross-correlation; mekatronik; maskininlärning; ultraljud; skruvdragare; klämkraft; klämkraftsåtdragning; klämkraftsreglering; korskorrelation;

    Abstract : Advanced bolt-tightening tools such as automatic nutrunners are commonly used in industrial factories to streamline the assembly process. In safety-critical systems, it is crucialto control the tightening process. READ MORE

  4. 18. Automatic evaluation of the effectiveness ofcommunication between software developers -NLP/AI

    University essay from Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

    Author : Marcus Haapasaari Lindgren; Jon Persson; [2023]
    Keywords : Machine Learning; Natural Language Processing; Conversation; Supervised Learning;

    Abstract : Communication is one of the most demanding andimportant parts of effective software development.Furthermore, the effectiveness of software developmentcommunication can be measured with the three collaborativeinterpersonal problem-solving conversation dimensions:Active Discussion, Creative Conflict, and ConversationManagement. READ MORE

  5. 19. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications

    University essay from KTH/Fysik

    Author : Daniel Karoumi; [2023]
    Keywords : Lung; lung segmentation; NSIP; IPF; lung vessels; lung morphometry; 3D Slicer; Lunga; lungsegmentering; NSIP; IPF; lungkärl; lung morfometri; 3D Slicer;

    Abstract : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. READ MORE

  6. 20. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Mahyar Mehr; [2023]
    Keywords : Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Abstract : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. READ MORE