Sökning: "distance learning"
Visar resultat 26 - 30 av 559 uppsatser innehållade orden distance learning.
26. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives
Master-uppsats, Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. LÄS MER
27. Optic nerve sheath diameter semantic segmentation and feature extraction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER
28. Evaluating clustering techniques in financial time series
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER
29. Comparative Analysis of Machine Learning Algorithms for Biometric Iris Recognition Systems
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Biometric identification plays a crucial role in various industries such as retail, and banking. Among the different biometric traits, iris patterns have become a reliable means of identification due to their unique features. In our thesis, we focus on evaluating and comparing different machine learning algorithms for irisrecognition. LÄS MER
30. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning
Kandidat-uppsats, Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenSammanfattning : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. LÄS MER