Sökning: "distance learning"

Visar resultat 1 - 5 av 253 uppsatser innehållade orden distance learning.

  1. 1. Predicting Pedestrian Counts per Street Segment in Urban Environments

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Simon Karlsson; [2020-07-08]
    Nyckelord :data science; pedestrian movement; machine learning; random forest; negative binomial; spatial morphology; road network; street centrality; built environment; built density; attractions; land division;

    Sammanfattning : Cities are continuously growing all over the world and the complexity of designingurban environments increases. Therefore, there is a need to build a better understandingin how our cities work today. One of the essential parts of this is understandingthe pedestrian movement. LÄS MER

  2. 2. BLE Beacon Based Indoor Positioning System in an Office Building using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Rohan Reddy Tirumalareddy; [2020]
    Nyckelord :Indoor Positioning System; Fingerprinting; Machine Learning; Bluetooth Low Energy;

    Sammanfattning : Context: Indoor positioning systems have become more widespread over the past decade, mainly due to devices such as Bluetooth Low Energy beacons which are low at cost and work effectively. The context of this thesis is to localize and help people navigate to the office equipment, meeting rooms, etc. LÄS MER

  3. 3. Att ställa om över en natt : En fallstudie om upplevelser av en oplanerad förändringsprocess till digital verksamhet ur ett sensemaking perspektiv

    Kandidat-uppsats, Södertörns högskola/Företagsekonomi; Södertörns högskola/Företagsekonomi

    Författare :Johanna Berggren; Hellen Torberger; [2020]
    Nyckelord :distance learning; e-learning; technology acceptance; change management; crisis management; organizational change; sense making; sense-making; distansundervisning; e-lärande; teknologi acceptans; förändringsarbete; förändring under kris; organisationsförändring; meningsskapande;

    Sammanfattning : Purpose: The purpose of this thesis is to investigate how change processes created under abrupt conditions are experienced and how they function, by studying the change process from an employee perspective, with connection to sensemaking. Theoretical framework: The theories in this study are based partly on previous research of organizational change, where we bring up factors for success and failure on different levels and partly on crisis management that gives an understanding of changes created under abrupt and unplanned circumstances. LÄS MER

  4. 4. Scalable Architecture for Automating Machine Learning Model Monitoring

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

    Författare :Javier de la Rúa Martínez; [2020]
    Nyckelord :Model Monitoring; Streaming; Scalability; Cloud-native; Data Drift; Outliers; Machine Learning; Modellövervakning; Streaming-metod; Skalbarhet; Molnbaserad; Dataskift; Outlierupptäckt; Maskininlärning;

    Sammanfattning : Last years, due to the advent of more sophisticated tools for exploratory data analysis, data management, Machine Learning (ML) model training and model serving into production, the concept of MLOps has gained more popularity. As an effort to bring DevOps processes to the ML lifecycle, MLOps aims at more automation in the execution of diverse and repetitive tasks along the cycle and at smoother interoperability between teams and tools involved. LÄS MER

  5. 5. Deep Learning for Point Detection in Images

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Björn Runow; [2020]
    Nyckelord :Deep learning; Point detection; U-Net; UNet ; HRNet; FCN; Weighted Hausdorff distance; EU-pallet; Computer vision;

    Sammanfattning : The main result of this thesis is a deep learning model named BearNet, which can be trained to detect an arbitrary amount of objects as a set of points. The model is trained using the Weighted Hausdorff distance as loss function. BearNet has been applied and tested on two problems from the industry. LÄS MER