Sökning: "recommendation accuracy"

Visar resultat 1 - 5 av 88 uppsatser innehållade orden recommendation accuracy.

  1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    Master-uppsats, Högskolan i Gävle/Elektronik

    Författare :Pradip Nath; [2024]
    Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

  3. 2. Real-time Energy Performance Tracking

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Huu Thien Nguyen; [2023]
    Nyckelord :;

    Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER

  4. 3. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Nikhil Boyapati; [2023]
    Nyckelord :Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

    Sammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER

  5. 4. Evaluation of Crack Depth Meter - An investigation of the crack depth meters possibilities and limitations for commonly occurring damage mechanisms

    Master-uppsats, KTH/Hållfasthetslära

    Författare :Alfred Norberg; [2023]
    Nyckelord :Crack depth measurement; RMG 4015; ACPD; Damage Mechanism; Evaluation; FEM Simulation; Sprickdjupsmätning; RMG 4015; ACPD; Skademekanism; Utvärdering; FEM-simulering;

    Sammanfattning : In this master thesis, the accuracy of the crack depth meter RMG 4015 was evaluated for different types of cracks with various damage mechanisms. In total, 61 crack depth measurements were conducted with the crack depth meter on 56 cracks which were located in the 23 different test pieces supplied by Kiwa. LÄS MER

  7. 5. Optimizing ERP Recommendations Using Machine Learning Techniques

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Ante Jeremiah; [2023]
    Nyckelord :Machine Learning; Imbalanced;

    Sammanfattning : This study explores the application of a recommendation engine in collaboration with Fortnox. The primary focus of this paper is to find potential improvements for their recommendation engine in terms of accurate recommendation for users. LÄS MER