Sökning: "error reporting"

Visar resultat 16 - 20 av 58 uppsatser innehållade orden error reporting.

  1. 16. Avoiding Out-Of-Memory Errors in ThinGC

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Pontus Ernstedt; [2020]
    Nyckelord :;

    Sammanfattning : A new garbage collector, called ThinGC, is producing out-of-memory errors when applied to certain user applications. ThinGC introduces a classification of objects as either hot or cold, where hot objects are currently in use by the application and cold objects are not. LÄS MER

  3. 17. Extracting Adverse Drug Reactions from Product Labels using Deep Learning and Natural Language Processing

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Shachi Bista; [2020]
    Nyckelord :;

    Sammanfattning : Pharamacovigilance relates to activities involving drug safety monitoring in the post-marketing phase of the drug development life-cycle. Despite rigorous trials and experiments that drugs undergo before they are available in the market, they can still cause previously unobserved side-effects (also known as adverse events) due to drug–drug interaction, genetic, physiological or demographic reasons. LÄS MER

  4. 18. Kvalitetssäkring vid produktion av värmepumpar

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell Produktion

    Författare :Hans Krönlein; [2020]
    Nyckelord :Kvalitetssäkring; Systematisk Produktionsanalys; Total Quality Management; Technology and Engineering;

    Sammanfattning : Nibe Industries has grown from being a local Swedish company to a global group with subsidiaries around the world. Nibe has protected its roots and still retains the head office in Markaryd, where they invest heavily in production locally (Nibe Industrier AB, 2020). LÄS MER

  5. 19. Receipt Scanning Using Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gustaf Gunér; [2020]
    Nyckelord :;

    Sammanfattning : Employees often make purchases on behalf of the companies that they are working for. These purchases must be reported manually, either by the employees themselves or by sending the receipts to the company‘s accountant. In both cases, parts of the receipts are transcribed manually. LÄS MER

  7. 20. Comparing Machine Learning Estimation of Fuel Consumption of Heavy-duty Vehicles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Victor Bodell; [2020]
    Nyckelord :Artificial Neural Networks; Fuel Consumption; Machine Learning; Regression; Statistical tests; ; Artificiella Neurala Nätverk; Bränsleförbrukning; Maskininlärning; Regression; Statistisk evaluering; ;

    Sammanfattning : Fuel consumption is one of the key factors in determining expenses of operating a heavy-duty vehicle. A customer may therefor request an estimate of the fuel consumption of a given vehicle. Scania uses modular design when constructing heavy-duty vehicles. LÄS MER