Essays about: "noisy"

Showing result 11 - 15 of 325 essays containing the word noisy.

  1. 11. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Edvard Magnell; Joakim Nordling; [2023]
    Keywords : ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

    Abstract : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. READ MORE

  3. 12. Effects of visualization using different convolution kernels in Julia

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Nils Forsberg; Axel Nilsson; [2023]
    Keywords : Convolution; Julia; visualization; streamlines; vorticity; interpolation; filter;

    Abstract : Many real-world engineering problems require large amounts of data in order to accurately model and predict outcomes. However, this data is often noisy, sampled and discontinuous, making the data difficult to process and giving rise to incorrect models. READ MORE

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

    University essay from KTH/Fysik

    Author : Jeanette Marie Victoria Skeppland Hole; [2023]
    Keywords : 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;

    Abstract : 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

  5. 14. EMC-Optimized Transparency: Reducing Electromagnetic Emissions in Surveillance Camera Domes

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Fabian Sondh; Erik Hansson; [2023]
    Keywords : Technology and Engineering;

    Abstract : Electromagnetic compatibility (EMC) is a crucial aspect to product development. Companies need to make sure their products live up to the standards that exists around the world. One way of reducing electromagnetic emissions is to shield the product, using some conducting material, for instance, copper. READ MORE

  6. 15. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    University essay from KTH/Matematisk statistik

    Author : Sabina Syed; Josefin Stenberg; [2023]
    Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE