Sökning: "data-driven modeling"

Visar resultat 1 - 5 av 51 uppsatser innehållade orden data-driven modeling.

1. 1. Big Data i arkeologin : Möjligheter, risker och etiska reflektioner

   Master-uppsats, Linnéuniversitetet/Institutionen för kulturvetenskaper (KV)

   Författare :Elin Borg; [2024]
   Nyckelord :Ai; Big Data; ChatGPT; Critical Data Studies; Digital arkeologi; Digital humaniora; End of Theory; Ethics; Paradigm shift;

   Sammanfattning : In this thesis I examine current and future uses of Big Data in archaeology. New technologies have enabled a range of data capture, data storage, and analyses. Digitization in our society has brought new ways of working for archaeologists and the increased amount of data affects how we can understand the world. LÄS MER

3. 2. Low-No code Platforms for Predictive Analytics

   Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Soma Karmakar; [2023]
   Nyckelord :Low code; no code; Predictive analytics; databricks; azure; AWS; Google cloud;

   Sammanfattning : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. LÄS MER

4. 3. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

   Författare :Chenzhou Huang; [2023]
   Nyckelord :Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

   Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER

5. 4. 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

7. 5. Data Driven Modeling for Aerodynamic Coefficients

   Master-uppsats, KTH/Matematisk statistik

   Författare :Erik Jonsäll; Emma Mattsson; [2023]
   Nyckelord :Master s thesis; System identification; Parameter estimation; Ordinary least squares; Machine learning; Aerodynamic coefficients; F18--HARV; Flight simulations.; Masteruppsats; Systemidentifiering; Parameteruppskattning; Minstakvadratmetoden; Maskininlärning; Aerodynamiska koefficienter; F18-HARV; Flygsimuleringar.;

   Sammanfattning : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. LÄS MER