Sökning: "supervised algorithms"

Visar resultat 1 - 5 av 206 uppsatser innehållade orden supervised algorithms.

1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Sally Vizins; Hanna Råhnängen; [2024]
   Nyckelord :Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

   Sammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER

3. 2. Detecting Lithium Brine in Afghanistan Using Spaceborne Hyperspectral Data

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :Torpikay Azizi; [2023-08-18]
   Nyckelord :PRISMA Hyperspectral data; lithium mineral deposits; lithium brine-rich deposits; Dashti-e- Nawar; boron deposits; Principal Component Analysis PCA ; supervised and unsupervised classification; spectral matching; spectral profile analysis; visible-near-infrared VNIR ; short-wave infrared SWIR Gypsum; Hectorite; Kaolinite; Lepidolite; lithium carbonate; lithium chloride;

   Sammanfattning : The purpose of this thesis is to utilize hyperspectral remote sensing technology for the identification and evaluation of lithium mineral deposits in Afghanistan. Afghanistan boasts unique geological formations with substantial potential for lithium resources beneath its land crust. LÄS MER

4. 3. Credit Card Fraud Detection by Nearest Neighbor Algorithms

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Ramin Maghsood; [2023-04-13]
   Nyckelord :Fraud; Bank Fraud; Credit Card Fraud; Fraud Detection; Nearest Neighbor Algorithms;

   Sammanfattning : As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of bank fraud in recent years is credit card fraud which leads to huge financial losses on a global level. LÄS MER

5. 4. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics

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

   Författare :Emil Lantz; [2023]
   Nyckelord :Behavioral biometrics; keystroke dynamics; mouse dynamics; machine learning; neural networks; decision trees.; Beteendemässig biometri; maskininlärning; neurala nätverk; beslutsträd.;

   Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER

7. 5. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

   Master-uppsats, KTH/Kemi

   Författare :Julia Rune; [2023]
   Nyckelord :Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

   Sammanfattning : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). LÄS MER