Sökning: "Data Pre-processing"

Visar resultat 11 - 15 av 189 uppsatser innehållade orden Data Pre-processing.

1. 11. ESPRIT for DOA estimation

   Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Filip Grimsholm; Martin Saarmann; [2023]
   Nyckelord :ESPRIT; FMCW; DOA; radar; estimation; comparison; ESPRIT; FMCW; DOA; radar; estimering; jämförelse;

   Sammanfattning : Radar is a tool that has had a tremendous impact since its discovery. This thesis evaluates an algorithm called ESPRIT. ESPRIT is used in radar to estimate the angles to detected objects. The angle of an object is referred to as its DOA (Direction of arrival). LÄS MER

3. 12. BERTie Bott’s Every Flavor Labels : A Tasty Guide to Developing a Semantic Role Labeling Model for Galician

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Micaella Bruton; [2023]
   Nyckelord :natural language processing; NLP; Galician; low-resource language; low resource language; semantic role labeling; SRL; mBERT; XLM-R; transfer-learning; transfer learning; Spanish; verbal indexing; procesamento de linguaxe natural; NLP; Galego; lingua de recursos limitados; etiquetado de papeis semánticos; SRL; mBERT; XLM-R; aprendizaxe por transferencia; Español; indexación verbal; språkteknologiska verktyg; NLP; naturlig språkbehandling; galiciska; språk med begränsade resurser; semantisk rollmärkning; SRL; mBERT; XLM-R; överföringsinlärning; spanska; verbal indexering; verbalindexering; procesamiento del lenguaje natural; NLP; Gallego; idioma de bajos recursos; etiquetado de roles semánticos; SRL; mBERT; XLM-R; aprendizaje por transferencia; Español; indexación verbal;

   Sammanfattning : For the vast majority of languages, Natural Language Processing (NLP) tools are either absent entirely, or leave much to be desired in their final performance. Despite having nearly 4 million speakers, one such low-resource language is Galician. LÄS MER

4. 13. Streamlining 3D City Modeling for Urban Flow Simulations by Automatic Integration of Multisource Topography

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

   Författare :Klara Lindroth; [2023]
   Nyckelord :automatic 3D city models; surface reconstruction; geometry pre-processing; CFD; OSM height attributes;

   Sammanfattning : In the workflow of computational fluid dynamics, geometry preparation is commonly the most time-consuming step. For a fast CFD simulation, automatic surface reconstruction to obtain 3D city models for a chosen area is essential. To address this need, a literature study was conducted to map available data suitable for 3D city models. LÄS MER

5. 14. Predicting resource usage on a Kubernetes platform using Machine Learning Methods

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Arvid Gördén; [2023]
   Nyckelord :Master thesis; Kubernetes; scaling; resource management; horizontal pod autoscaler; vertical scaling; machine learning; Masterarbete; Kubernetes; scaling; resurshantering; horisontell pod autoscaler; vertikal scaling; maskininlärning;

   Sammanfattning : Cloud computing and containerization has been on the rise in recent years and have become important areas of research and development in the field of computer science. One of the challenges in distributed and cloud computing is to predict the resource utilization of the nodes that run the applications and services. LÄS MER

7. 15. Comparative Analysis of Machine Learning Methods for Predicting Property Prices and Sale Velocities in the Real Estate Industry

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

   Författare :Lucas Eren; [2023]
   Nyckelord :Machine Learning; Real Estate Industry; Selling Prices; Sale Velocities; Comparative Analysis; Maskininlärning; Fastighetsbranschen; Försäljningspriser; Försäljningshastighet; Jämförande Analys;

   Sammanfattning : The real estate industry is one of the largest industries in the world and using data-driven decision-making has been shown to increase companies’ profitability. A technique to apply data-driven decision-making is machine learning. LÄS MER