Essays about: "refinement"

Showing result 21 - 25 of 257 essays containing the word refinement.

  1. 21. 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. 22. Real-time visual feedback of emotional expression in singing

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

    Author : Xuehua Fu; [2023]
    Keywords : Sound and Music Computing; Music Visualization; Cross-modal Feedback; Mapping; Music Expressivity; Multimodal Interaction; Ljud-och musikberäkning; Musikvisualisering; Korsmodal återkoppling; Kartläggning; Musikexpressivitet; Multimodal interaktion;

    Abstract : The thesis project concerns the development and evaluation of a real-time music visualization system aimed at creating a multi-modal perceptual experience of music emotions. The purpose of the project is to provide singers with real-time visual feedback on their singing, to enhance their expression of emotions in the music. READ MORE

  4. 23. 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

  5. 24. Development of Friction/Blended Braking Capability for an Electric Driveline Model for Multi-Scale Road-Cargo Simulations

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Fangge Wu; [2023]
    Keywords : System Engineering; Matlab Simulink Simulation; Driveline Model Building; ABS; Friction and blended braking capabilities 4; Systems Engineering; Matlab Simulink-simulering; Driveline Model Building; ABS; friktion och mixade bromsfunktioner 6;

    Abstract : This thesis focuses on the critical development of friction and blended braking capabilities for an electric driveline model intended for multiscale road-cargo simulations. In the rapidly evolving landscape of transportation, electric driveline technology has emerged as a key player in achieving sustainability and efficiency goals. READ MORE

  6. 25. Evaluation of Physics Informed Neural Networks in engineering simple structural analysis problems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Georgios Nentidis; [2023]
    Keywords : ;

    Abstract : Neural Networks have found many applications for a long time in Machine Learning in different disciplines, and have especially flourished in the last decade because of the ever-increasing processing power especially from GPUs. Because of their ability to operate as universal function approximators and model nonlinear processes, attempts have been made in recent years to be also used for modeling partial differential equation (PDE) solutions. READ MORE