Sökning: "inverse method"

Visar resultat 16 - 20 av 204 uppsatser innehållade orden inverse method.

1. 16. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model

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

   Författare :Vittorio Pellegrini; [2023]
   Nyckelord :Natural Language Processing; sentence embeddings; Transformer-based architectures; sentence paraphrasing; sentence similarity; sentence clustering; Naturlig språkbehandling; inbäddning av meningar; transformatorbaserade arkitekturer; parafrasering av meningar; meningslikhet; klustring av meningar Canvas Lärplattform; Dockerbehållare; Prestandajustering;

   Sammanfattning : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. LÄS MER

3. 17. Investigation of the mean photon energy in Kompaneets spectra

   Master-uppsats, KTH/Fysik

   Författare :Richárd Bagi; [2023]
   Nyckelord :Astroparticle Physics; Kompaneets equation; Astropartikelfysik; Kompaneetsekvationen;

   Sammanfattning : The Kompaneets equation describes the spectrum formation when hot fermions are injected into an opaque fermion-photon plasma in thermal equilibrium and inverse Compton-scatterings occur. The equation has three free parameters, the initial plasma thermal energy θ_u, the final plasmathermal energy θ_r and the average photon energy gain y_r. LÄS MER

4. 18. Camera ISP optimization for computer vision tasks performed by deep neural networks

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

   Författare :Zhenghong Xiao; [2023]
   Nyckelord :Computer Vision; Image Signal Processing; DNN; Datorseende; bildsignalbehandling; DNN;

   Sammanfattning : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. LÄS MER

5. 19. Evaluation of the DXA radiation environment at Sahlgrenska University Hospital

   Master-uppsats,

   Författare :Saga Söderholm; [2022-05-18]
   Nyckelord :Medical physics; DXA; DEXA; Dual-energy X-ray absorptiometry; Bone mineral density;

   Sammanfattning : Purpose: The aims of this work were to evaluate the radiation environment in the dual-energy X-ray absorptiometry (DXA) rooms at Sahlgrenska University Hospital, estimate personnel doses, determine legal requirements for DXA personnel, examine the operators’ view on radiation safety and develop material with dose information for patients and operators. Theory: DXA is a low dose X-ray modality mainly used in osteoporosis examinations, for which it is considered the reference technique. LÄS MER

7. 20. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

   Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Rasmus Sjöö; [2022]
   Nyckelord :Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

   Sammanfattning : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. LÄS MER