Essays about: "Perceptron Neurala Nätverk"

Showing result 1 - 5 of 19 essays containing the words Perceptron Neurala Nätverk.

  1. 1. 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

  3. 2. Link Prediction Using Learnable Topology Augmentation

    University essay from KTH/Matematik (Avd.)

    Author : Tori Leatherman; [2023]
    Keywords : Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

    Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE

  4. 3. Reverse Engineering of Deep Learning Models by Side-Channel Analysis

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xuan Wang; [2023]
    Keywords : Side-Channel Attack; Deep Learning; Reverse Engineering; Perceptron Neural Network; Sidokanalattack; Djup lärning; Omvänd Konstruktion; Perceptron Neurala Nätverk;

    Abstract : Side-Channel Analysis (SCA) aims to extract secrets from cryptographic systems by exploiting the physical leakage acquired from implementations of cryptographic algorithms. With the development of Deep Learning (DL), a new type of SCA called Deep Learning Side-Channel Analysis (DLSCA) utilizes the advantages of DL techniques in data features processing to break cryptographic systems more efficiently. READ MORE

  5. 4. Predicting Customer Satisfaction in the Context of Last-Mile Delivery using Supervised and Automatic Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Carl Höggren; [2022]
    Keywords : Last-mile Delivery; Customer Satisfaction; Supervised Machine Learning; Automatic Machine Learning; Imbalanced Datasets; Sista-milen Leveranser; Kundnöjdhet; Övervakad Maskininlärning; Automatiserad Maskininlärning; Obalanserade Dataset;

    Abstract : The prevalence of online shopping has steadily risen in the last few years. In response to these changes, last-mile delivery services have emerged that enable goods to reach customers within a shorter timeframe compared to traditional logistics providers. READ MORE

  6. 5. Learning to Price Apartments in Swedish Cities

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fredrik Segerhammar; [2021]
    Keywords : Real estate; property; machine learning; area data; artificial neural network; random forest; home valuation; price prediction; Fastigheter; maskininlärning; områdesdata; neurala nätverk; slumpmässig skog; hemvärdering; prisförutsägelse;

    Abstract : This thesis tackles the problem of accurately pricing apartments in large Swedish cities using geospatial data. The aim is to determine if geospatial data and population statistics can be used in conjunction with direct apartment data to accurately price apartments in large cities. READ MORE