Sökning: "examensarbete algoritmer"

Visar resultat 11 - 15 av 174 uppsatser innehållade orden examensarbete algoritmer.

1. 11. LDPC DropConnect

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

   Författare :Xi Chen; [2023]
   Nyckelord :Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

   Sammanfattning : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. LÄS MER

3. 12. A Performance Comparison of Path Tracing on FPGA and GPU

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

   Författare :Anton Lilja; Markus Videfors; [2023]
   Nyckelord :;

   Sammanfattning : Ray Tracing algorithms have long been the popular choice for rendering realistic images, and in recent years they have also reached the field of real time computer graphics. Although their performance has seen great improvement, they are still very computationally costly to perform, both in terms of time and power. LÄS MER

4. 13. Dynamic Control, Modeling and Sizing of Hybrid Power Plants : Investigating the optimum usage of energy storage for Fortum’s hydropower

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

   Författare :Klas Lindgren; [2023]
   Nyckelord :Hydropower Plants; Energy Storage Systems; Hybrid Units; Frequency Regulation; Modeling; XGBoost Regression; Vattenkraftverk; Energilagringsystem; Hybridkraftverk; Frekvensreglering; Modellering; XGBoost Regression;

   Sammanfattning : The rapidly evolving Nordic Power System demands enhanced flexibility and robustness in electricity production. The traditional role of hydropower plants in regulating the grid frequency has been challenged by new criteria for dynamic stability, which some units struggle to meet due to their relatively poor dynamic performance. LÄS MER

5. 14. Methods for Co-Orbital Threat Assessment in Space

   Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

   Författare :Mathias Dahlman; [2023]
   Nyckelord :threats in space; threat assessment; Lambert s problem; genetic algorithms; NSGA-II; space surveillance and tracking capabilities; hot i rymden; hotbedömning; Lamberts problem; genetiska algoritmer; NSGA-II; inmätning och övervakning av rymdobjekt;

   Sammanfattning : This study investigates methods for assessing threats in space. Space services are crucial to both civilian and military capabilities, and a loss of such systems could have severe consequences. Space systems are exposed to various types of threats. LÄS MER

7. 15. Advancing Keyword Clustering Techniques: A Comparative Exploration of Supervised and Unsupervised Methods : Investigating the Effectiveness and Performance of Supervised and Unsupervised Methods with Sentence Embeddings

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

   Författare :Filippo Caliò; [2023]
   Nyckelord :Keyword Clustering; Supervised Learning; Unsupervised Learning; Cluster Labels; Natural Language Processing; Sentence Embeddings; Nyckelord Klustring; övervakad inlärning; oövervakad inlärning; klustermärkning; naturlig språkbehandling; Inbäddning av meningar;

   Sammanfattning : Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their customers are interested in. LÄS MER