Sökning: "Data driven network"

Visar resultat 11 - 15 av 211 uppsatser innehållade orden Data driven network.

1. 11. Informal Knowledge Sharing : Grasping the Complexity of Sharing Knowledge in Ericsson’s Software Development

   Master-uppsats, Linköpings universitet/Projekt, innovationer och entreprenörskap

   Författare :Arvid Wittwång; Amanda Perlind; [2023]
   Nyckelord :Knowledge; Knowledge Management; Knowledge Sharing; Informal Knowledge Sharing; Knowledge Sharing Culture; Information; Electronic Knowledge Network; Digital Tools; Software Development; Product Development; Ericsson; Cloud RAN; 5G; Case Study; Multi-Grounded Theory; Grounded Theory;

   Sammanfattning : Many organizations have realized the importance of managing what they know in a proper way, with the sharing of knowledge as one of the most central aspects. However, the practices of knowledge sharing are seldom fully understood, and thus implementations of technical systems intended to improve knowledge sharing have less effect than expected. LÄS MER

3. 12. Plant yield prediction in indoor farming using machine learning

   Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Anjali Ashok; Mary Adesoba; [2023]
   Nyckelord :Yield prediction; Machine Learning; Hyperparameter tweaking; Support Vector Regression; Long Short-Term Memory; Artificial Neural Network;

   Sammanfattning : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. LÄS MER

4. 13. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

   Författare :Wenhan Zhou; [2023]
   Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

   Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

5. 14. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Axel Ekblom; Jacob Karlén; [2023]
   Nyckelord :process mining; workflow mining; data mining; radiology; PACS;

   Sammanfattning : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. LÄS MER

7. 15. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

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

   Författare :Yuan Wo; [2023]
   Nyckelord :Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

   Sammanfattning : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. LÄS MER