Sökning: "Machine diagnostics"

Visar resultat 1 - 5 av 57 uppsatser innehållade orden Machine diagnostics.

1. 1. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomi

   Författare :Harald Agelii; [2023]
   Nyckelord :Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

   Sammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER

3. 2. Processimulering och flaskhalsanalys för standardisering av arbetsprocesser på automatiserade förpackningslinjer

   Kandidat-uppsats, KTH/Produktionsutveckling

   Författare :Narges Qorbanzada; Cajsa Spånberg; [2023]
   Nyckelord :Cycle time; Waiting time; Throughput; Bottleneck; Simulation; Cykeltid; Väntetid; Genomströmning; Flaskhals; Simulerig;

   Sammanfattning : Dagens industrier utvecklas snabbare och ständigt uppstår nya teknikutvecklingar som skapar nya krav och kräver förändringar inom tillverkningsindustrin. Eliminering av flaskhalsar är viktigt inom läkemedelsindustrin för att möta den ökade efterfrågan. LÄS MER

4. 3. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

   Master-uppsats, KTH/Fysik

   Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
   Nyckelord :ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

   Sammanfattning : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). LÄS MER

5. 4. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

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

   Författare :Thomas Eriksson Mueller; Viktor Fornstad; [2023]
   Nyckelord :Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

   Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER

7. 5. Explainable Machine Learning in Cardiovascular Diagnostics

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

   Författare :Alexander Gutell; Ludvig Skare; [2023]
   Nyckelord :;

   Sammanfattning : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. LÄS MER