Sökning: "t-SNE"

Visar resultat 6 - 10 av 18 uppsatser innehållade ordet t-SNE.

1. 6. Need for Wheel Speed : Generating synthetic wheel speeds using LSTM and GANs

   Magister-uppsats, Linköpings universitet/Interaktiva och kognitiva system

   Författare :Erik Berglund; [2022]
   Nyckelord :synthethic data; LSTM; GAN; machine learning; wheel speed; time series; vehicle data;

   Sammanfattning : Time series as data in the machine learning research area has been dominated by prediction and forecasting techniques. Ever since the inception of generative models, the interest in generating time series has increased. Time series data appears in many different fields with financial and medical gathering much of the interest. LÄS MER

3. 7. Explainable Artificial Intelligence for Reinforcement Learning Agents

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

   Författare :Linus Nilsson; [2021]
   Nyckelord :;

   Sammanfattning : Following the success that machine learning has enjoyed over the last decade, reinforcement learning has become a prime research area for automation and solving complex tasks. Ranging from playing video games at a professional level to robots collaborating in picking goods in warehouses, the applications of reinforcement learning are numerous. LÄS MER

4. 8. Identifying factors that correlate with Enhanced Biological Phosphorus Removal upsets at Lundåkraverket

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Rounak Niranjan; [2021]
   Nyckelord :Enhanced biological phosphorus removal; polyphosphate accumulating organisms; glycogen accumulating organisms; sludge content in aeration basin; nitrates in aeration basin; pH of incoming water; principal component analysis; pairwise correlations; inhibition factors;

   Sammanfattning : The Enhanced Biological Phosphorus Removal (EBPR) process is characterized as the most sustainable process to remove phosphorus from wastewater albeit with high variability in performance efficiency. Thus, unpredictable upsets in the EBPR system is the norm across several wastewater treatment plants throughout Sweden, forcing the hand of the operators to dose higher volume of chemicals to reach the effluent requirements. LÄS MER

5. 9. Imbalanced Learning and Feature Extraction in Fraud Detection with Applications

   Master-uppsats, KTH/Numerisk analys, NA

   Författare :Martin Jacobson; [2021]
   Nyckelord :Fraud; Fraud Detection; Imbalanced Learning; Feature Extraction; Extreme Learning Machines; ELM; Machine Learning; ML; Bedrägeri;

   Sammanfattning : This thesis deals with fraud detection in a real-world environment with datasets coming from Svenska Handelsbanken. The goal was to investigate how well machine learning can classify fraudulent transactions and how new additional features affected classification. LÄS MER

7. 10. Prediction of Neurodegenerative Diseases using Brain Images

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Abhishek Pulicherla; Aiman Mujtaba Khan; [2021]
   Nyckelord :Neurodegenerative diseases;

   Sammanfattning : Advancements in Deep Neural Network Architectures have enabledit to be used in the medical imaging and diagnostics domain, in termsof assisting doctors in making diagnoses. Although Neurodegenera-tive diseases such as Alzheimer’s disease remains a diagnosis basedon clinical grounds, there has been great development and recogni-tion that Deep Neural Networks can address the complexity and vol-ume of imaging data. LÄS MER