Essays about: "network diagnostics"
Showing result 1 - 5 of 45 essays containing the words network diagnostics.
-
1. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments
University essay from Uppsala universitet/Institutionen för fysik och astronomiAbstract : 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. READ MORE
-
2. Simulating metal ct artefacts for ground truth generation in deep learning.
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE
-
3. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
University essay from KTH/FysikAbstract : 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). READ MORE
-
4. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
5. Infrared and Visible Image Fusion with an Unsupervised Network
University essay from Linköpings universitet/DatorseendeAbstract : Image fusion is a technique that aims to combine semantic information from different source images into a new synthesized image that contains information from both source images. It is a technique that can be useful in many different areas, such as reconnaissance, surveillance and medical diagnostics. READ MORE