Sökning: "supervised and unsupervised classification"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden supervised and unsupervised classification.

1. 1. 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

3. 2. Exploring the Applications of Machine Learning in the Public Sector

   Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Adrian Hammarberg Dalmyr; [2023]
   Nyckelord :Physics and Astronomy;

   Sammanfattning : Despite the many use cases for machine learning, it sees minimal usage in Sweden’s public sector today. It is important that the public sector in particular utilizes the most efficient tools available. LÄS MER

4. 3. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

   Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Jaysmita Khanindra Chaliha; [2023]
   Nyckelord :;

   Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

5. 4. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :William Tirmén; [2023]
   Nyckelord :Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

   Sammanfattning : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. LÄS MER

7. 5. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Christoffer Gärdin; [2023]
   Nyckelord :Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

   Sammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER