Sökning: "segmenting"

Visar resultat 16 - 20 av 143 uppsatser innehållade ordet segmenting.

1. 16. End of Life Wind Turbine Blade Recycling : Challenges From an Environmental, Economic and Practical Viewpoint

   Kandidat-uppsats,

   Författare :Daniel Hagfeldt; [2022]
   Nyckelord :Wind power; Wind turbine; Wind Turbine Blade; Recycling; Glass fibre; Carbon fibre; Centre-of-gravity method;

   Sammanfattning : The goal of the European Union is to make strides towards a circular economy. This means recycling or re-using as much of the material in the economic system as possible. The wind industry faces a great challenge in the years to come as huge quantities of increasingly larger wind turbines reach the end of their service-life. LÄS MER

3. 17. Vibration-Based Terrain Classification for an Autonomous Truck

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

   Författare :Lucas Lovén; [2022]
   Nyckelord :Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

   Sammanfattning : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. LÄS MER

4. 18. Text Steganalysis based on Convolutional Neural Networks

   Kandidat-uppsats, Blekinge Tekniska Högskola

   Författare :Tejasvi Akula; Varshitha Pamisetty; [2022]
   Nyckelord :CNN; text steganalysis; Deep Learning; Decision Strategy;

   Sammanfattning : The CNN-based steganalysis model is able to capture some complex statistical dependencies and also learn feature representations. The proposed model uses a word embedding layer to map the words into dense vectors thus, achieving more accurate representations of the words. The proposed model extracts both, the syntax and semantic features. LÄS MER

5. 19. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Hector Nyblom; [2022]
   Nyckelord :Automatic Speech Recognition; Deep Learning; Machine Learning; Natural Language Processing; Media Monitoring;

   Sammanfattning : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. LÄS MER

7. 20. Automatic Podcast Chapter Segmentation : A Framework for Implementing and Evaluating Chapter Boundary Models for Transcribed Audio Documents

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

   Författare :Adam Feldstein Jacobs; [2022]
   Nyckelord :Machine Learning; Natural Language Processing; Speech Technology; Deep Learning; Podcast Segmentation; Maskininlärning; Språkteknologi; Djupinlärning; Podcast Segmentation;

   Sammanfattning : Podcasts are an exponentially growing audio medium where useful and relevant content should be served, which requires new methods of information sorting. This thesis is the first to look into the state-of-art problem of segmenting podcasts into chapters (structurally and topically coherent sections). LÄS MER