Sökning: "distance learning"
Visar resultat 1 - 5 av 253 uppsatser innehållade orden distance learning.
- Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik
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
- Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap
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. Att ställa om över en natt : En fallstudie om upplevelser av en oplanerad förändringsprocess till digital verksamhet ur ett sensemaking perspektivKandidat-uppsats, Södertörns högskola/Företagsekonomi; Södertörns högskola/Företagsekonomi
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
- Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
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
- Master-uppsats, Linköpings universitet/Datorseende
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