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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Search results

Showing 1 to 3 of 3 (0.067 seconds)

Spelling suggestions: "subject:"nearest neighbor algorithm"" "subject:"knearest neighbor algorithm""

1

Spatial Analysis of Retinal Pigment Epithelium Morphology

Huang, Haitao 12 August 2016 (has links)
In patients with age-related macular degeneration, a monolayer of cells in the eyes called retinal pigment epithelium differ from healthy ones in morphology. It is therefore important to quantify the morphological changes, which will help us better understand the physiology, disease progression and classification. Classification of the RPE morphometry has been accomplished with whole tissue data. In this work, we focused on the spatial aspect of RPE morphometric analysis. We used the second-order spatial analysis to reveal the distinct patterns of cell clustering between normal and diseased eyes for both simulated and experimental human RPE data. We classified the mouse genotype and age by the k-Nearest Neighbors algorithm. Radially aligned regions showed different classification power for several cell shape variables. Our proposed methods provide a useful addition to classification and prognosis of eye disease noninvasively.
Retinal pigment epithelium
Age-related macular degeneration
Cell morphometric data
Spatial analysis
k-Nearest Neighbors algorithm
Classification
2

Analyzing the Need for Nonprofits in the Housing Sector: A Predictive Model Based on Location

Oerther, Catie 03 August 2023 (has links)
No description available.
Computer Science
Operations Research
Business Administration
Social Work
Geography
Management
nonprofit organizations
success
machine learning
KNN
K-nearest neighbors algorithm
Python
Cost Per Dollar Raised
CPDR
mission statement
needs assessment
location analysis
homelessness
nonprofit housing
3

Detekce logopedických vad v řeči / Detection of Logopaedic Defects in Speech

Pešek, Milan January 2009 (has links)
The thesis deals with a design and an implementation of software for a detection of logopaedia defects of speech. Due to the need of early logopaedia defects detecting, this software is aimed at a child’s age speaker. The introductory part describes the theory of speech realization, simulation of speech realization for numerical processing, phonetics, logopaedia and basic logopaedia defects of speech. There are also described used methods for feature extraction, for segmentation of words to speech sounds and for features classification into either correct or incorrect pronunciation class. In the next part of the thesis there are results of testing of selected methods presented. For logopaedia speech defects recognition algorithms are used in order to extract the features MFCC and PLP. The segmentation of words to speech sounds is performed on the base of Differential Function method. The extracted features of a sound are classified into either a correct or an incorrect pronunciation class with one of tested methods of pattern recognition. To classify the features, the k-NN, SVN, ANN, and GMM methods are tested.

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