Sökning: "Transformer Networks"

Visar resultat 1 - 5 av 83 uppsatser innehållade orden Transformer Networks.

1. 1. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Max Fredriksson; Elise Ramsay Veljanovska; [2024]
   Nyckelord :ASR; Automatic Speech Recognition; Swedish Speech Recognition; Speech Recognition Models; Speech-to-Text; Whisper; VoxRex; Wav2Vec; Model Comparison; Transformer Models; Neural Networks; Machine Learning; WER; Word Error Rate; Transcription;

   Sammanfattning : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. LÄS MER

3. 2. Inductive fast charging of IoT devices : An in-depth analysis of short-range wireless charging technologies based on induction

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Franz Wikner; [2024]
   Nyckelord :Electromagnetic power transfer; Inductive power transfer; Short distance WPT;

   Sammanfattning : In the era of Internet of things (IoT), sensor-equipped devices exchange data over networks. In battery powered IoT devices, the lifespan of the devices is often much longer than the battery life, leading to multiple costly and environmentally hazardous battery replacements during the operational life of the devices. LÄS MER

4. 3. Few-Shot Learning for Quality Inspection

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Jesper Palmér; Ahmad Alsalehy; [2023]
   Nyckelord :Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

   Sammanfattning : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. LÄS MER

5. 4. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

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

   Författare :Alexander Mo; [2023]
   Nyckelord :Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

   Sammanfattning : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). LÄS MER

7. 5. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

   Författare :David Yu; [2023]
   Nyckelord :Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

   Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER