Essays about: "extrahering"

Showing result 1 - 5 of 56 essays containing the word extrahering.

  1. 1. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Filip Säterberg; Rasmus Nilsson; [2024]
    Keywords : Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Abstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE

  3. 2. Deriving Spectral Maps from JWST Data : A Study of Enceladus’ Plumes

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

    Author : Stephan Weissenböck; [2023]
    Keywords : Data Analysis; Enceladus; Plumes; Atmosphere; JWST; NIRSpec; IFU; Infrared spectroscopy; Dataanalys; Enceladus; plym; atmosfär; JWST; NIRSpec; IFU; infraröd spektroskopi;

    Abstract : This study investigates the presence of water vapor plumes in the region south of Enceladus, a moon in the Saturnian system, through observations conducted by the James Webb Space Telescope. Enceladus is believed to harbor a subsurface ocean or localized water reservoir that gives rise to water geysers, expelling vapor into its tenuous atmosphere and outer space. READ MORE

  4. 3. Syntax-Based Dependency Discovery : Extracting Dependencies Between Integration Test Cases for Passive Testing

    University essay from KTH/Hälsoinformatik och logistik

    Author : David Halldoff; Martin Sten; [2023]
    Keywords : Software testing; passive testing; integration testing; test case; dependency discovery; guarded assertion; automotive; safety-critical; Mjukvarutestning; passiv testning; integrationstestning; testfall; beroendeupptäckt; fordon; säkerhetskritisk;

    Abstract : Modern-day vehicles consist of numerous electronic computing devices with accompanying software. Since vehicles are generally classified as safety-critical systems, rigorous testing strategies have to be deployed to ensure correct operation of the embedded software. READ MORE

  5. 4. Designing Effective Derivative Line Filters: Utilizing convolution to extract extra information

    University essay from KTH/Matematik (Avd.)

    Author : Gustaf Lorentzon; [2023]
    Keywords : Computational Fluid Dynamics; Convolution Filters; Convolution Kernels; Derivatives; Extracting Extra Accuracy; Filtration; Post-processing; Smoothness-Increasing Accuracy-Conserving; Signal-processing; Visualization; Vorticity; Beräkningsbaserad Strömningsdynamik; Faltningsfilter; Faltningskärnor; Derivator; Extrahering av Extra Noggrannhet; Filtrering; Efterbehandling; Kontinuitetsökande; Noggrannhetsbevarande; Signalbehandling; Visualisering; Vorticitet;

    Abstract : The ability to generate accurate approximations of derivatives holds significant importance in numerous scientific fields, including chemistry, economics and fluid mechanics. This thesis is centred around extracting hidden information in data using Smoothness-Increasing Accuracy-Conserving (SIAC) filters. READ MORE

  6. 5. Predicting resource usage on a Kubernetes platform using Machine Learning Methods

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Arvid Gördén; [2023]
    Keywords : Master thesis; Kubernetes; scaling; resource management; horizontal pod autoscaler; vertical scaling; machine learning; Masterarbete; Kubernetes; scaling; resurshantering; horisontell pod autoscaler; vertikal scaling; maskininlärning;

    Abstract : Cloud computing and containerization has been on the rise in recent years and have become important areas of research and development in the field of computer science. One of the challenges in distributed and cloud computing is to predict the resource utilization of the nodes that run the applications and services. READ MORE