Sökning: "Model Code"

Visar resultat 1 - 5 av 954 uppsatser innehållade orden Model Code.

  1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

    Master-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
    Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

    Sammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER

  3. 2. Cross project Just-In-Time bug detection

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Axel Pettersson; [2024]
    Nyckelord :JITLine; Bug detection; Software Development; JITLine; Bugg identifiering; Mjukvaruutveckling;

    Sammanfattning : Software is present in almost all aspects of our lives, and with more parts of life beingdriven by code, the importance of limiting bugs is critical. Studies have shown that thelonger a bug is present in a system increases the complexity of finding and handlingthe bug. LÄS MER

  4. 3. Multi-Parameter Modelling of Surface Electromyography Data

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Ahmad Alosta; Josef Djärf; [2024]
    Nyckelord :Surface electromyography; modelling; Python; sEMG; decomposition; neuroengineering; motor unit; muscle; simulation; Technology and Engineering;

    Sammanfattning : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. LÄS MER

  5. 4. Automation of manual tasks at Statistics Sweden : Supervised machine learning as proof-of-concept

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Simon Godskesen; [2024]
    Nyckelord :;

    Sammanfattning : Supervised machine learning is used to create a proof-of-concept for automation of manual tasks for Statistics Sweden. The goal of the first part is to classify occupations with an SSYK code using descriptions entered by the employee, the education level of the employee, and their industry. LÄS MER

  7. 5. To Deploy, or Not to Deploy, That is the Question A qualitative study of the decision-making experiences of engineers deploying software changes in production

    Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Jessica Ann DeVita; [2024]
    Nyckelord :Automation; Common ground; Complexity; Coordination; COVID19 pandemic; Deployment decision; Incident response; Mental model; Naturalistic decision-making; Phenomenology; Resilience; Risk; Software engineering; SRE; Strategy; Temporal reasoning; Uncertainty; Web operations; FLMU06; Technology and Engineering;

    Sammanfattning : The web services that millions of people count on require large-scale computer resources (servers, nodes, networking) and an intricate set of interdependent software services. Under pressure to continually improve these services, code and configuration changes are deployed hundreds or thousands of times every day. LÄS MER