Essays about: "Artificial training data"

Showing result 11 - 15 of 254 essays containing the words Artificial training data.

  1. 11. 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. 12. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection

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

    Author : Kun Hao; [2023]
    Keywords : Explainable Artificial Intelligence; Counterfactual; Causal Analysis; Shapley Additive Explanations; Modulation and Coding Scheme; Förklarlig artificiell intelligens; kontrafaktisk analys; orsaksanalys; Shapley tillsatsförklaringar; modulerings och kodningsschema;

    Abstract : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. READ MORE

  4. 13. Improving Software Development Process Through Industry 4.0 Technologies : A focus on Railway Embedded Software

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Julia Eriksson; Victor Busck; [2023]
    Keywords : Safety-critical software development; Industry 4.0; Artificial Intelligence;

    Abstract : Date: 4th June 2023 Level: Master thesis in Product- and Process Development, advanced level, 30 credits Institution: School of Innovation, Design and Engineering at Mälardalen University Authors: Victor Busck Julia Eriksson Title: Improving Software Development Process Through Industry 4.0 Methodologies - A focus on Railway Embedded Software Supervisor: Yuji Yamamoto - Mälardalens University, Raluca Marinescu - Alstom, Ian Bird-Radolovic - Alstom Keywords: Safety-critical software development; Software development;Industry 4. READ MORE

  5. 14. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Atena Nazem; [2023]
    Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

    Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE

  6. 15. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

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

    Author : Tobias Andersson; Mattias Mentes; [2023]
    Keywords : Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

    Abstract : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. READ MORE