Avancerad sökning

Visar resultat 1 - 5 av 12 uppsatser som matchar ovanstående sökkriterier.

1. 1. Extraction of Global Features for enhancing Machine Learning Performance

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

   Författare :Abyel Tesfay; [2023]
   Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

   Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER

3. 2. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

   Författare :Wenhan Zhou; [2023]
   Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

   Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

4. 3. Comparing the Performance of Compiled vs Interpreted RegEx

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

   Författare :Simon Hocker; Andreas Hammarstrand; [2023]
   Nyckelord :Compilers; Interpreters; Regular languages; RegEx; Performance; Kompilatorer; Tolkare; Regulära språk; RegEx; Prestanda;

   Sammanfattning : The Regular Expression (RegEx) is one of the most important computer science technologies used for searching through text. Used commonly in almost every corner of computer science that is dependent on searching, it is imperative that they are made to be efficient. Usually, RegEx are implemented through the use of a process called interpretation. LÄS MER

5. 4. Evaluating and comparing different key phrase-based web scraping methods for training domain-specific fasttext models

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

   Författare :Love Book; [2023]
   Nyckelord :Machine Learning; Natural Language Processing; Word2vec; fasttext; KeyBERT; Web scraping; Transformers; Embeddings.; Maskininlärning; språkteknologi; Word2vec; fasttext; KeyBERT; Webbskrapning; Transformatorer; Inbäddningar.;

   Sammanfattning : The demand for automation of simple tasks is constantly increasing. While some tasks are easy to automate because the logic is fixed and the process is streamlined, other tasks are harder because the performance of the task is heavily reliant on the judgment of a human expert. LÄS MER

7. 5. En jämnförelse av prestanda och skalbarhet för grafgenerering i datavisualiserande Javascript-bibliotek : Ett jämnförande experiment på Chart.js, ApexCharts, Billboard, och ToastUI

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Hamlet Magnusson Millqvist; Niklas Bolin; [2022]
   Nyckelord :JavaScript; data visualisation; performance; scalability; comparison;

   Sammanfattning : On the web, data visualisation through charts and diagrams can help present data in a more readable way. This is often done through the usage of JavaScript libraries. We experimented with 5 JavaScript data visualisation libraries to determine their respective performances and how each one scaled with increased data size. LÄS MER