Essays about: "Noise Identification"

Showing result 1 - 5 of 75 essays containing the words Noise Identification.

  1. 1. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Keywords : Chaining; Classification; Data Quality; Few-Shot Learning; Large Language Model; Machine Learning; Noise; Prompt; Prompt Engineering; SQL; Structured Query Language; Text-to-SQL; Zero-Shot Learning; Noise Identification;

    Abstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE

  2. 2. 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. 3. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

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

    Author : Tim Jonsson; [2023]
    Keywords : ;

    Abstract : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. READ MORE

  4. 4. Optimal simultaneous excitation for identification of multivariable systems

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

    Author : Gunnar Sigurðsson; [2023]
    Keywords : System identification; Simultaneous excitation; Experiment design; Model Predictive Control MPC ; Optimization; Multivariable systems; Systemidentifiering; Simultan excitation; Experimentdesign; Modell Predictive Control MPC ; Optimering; Multivariabla system;

    Abstract : Having a accurate model of a system is essential for many applications today, especially those related to advanced process control. When executing a project often a lot of time is spent performing experiments on the real system to estimate a model. READ MORE

  5. 5. Evaluation of Methods for Sound Source Separation in Audio Recordings Using Machine Learning

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Amanda Gidlöf; [2023]
    Keywords : Sound source separation; signal processing; audio processing; speech enhancement; speaker identification; speech separation; speech processing; speaker separation; single channel; multi channel; cocktail party problem; machine learning; neural network; deep learning; deep neural network; convolutional network; dual-path network; filter-and-sum network; recurrent network; beamforming;

    Abstract : Sound source separation is a popular and active research area, especially with modern machine learning techniques. In this thesis, the focus is on single-channel separation of two speakers into individual streams, and specifically considering the case where two speakers are also accompanied by background noise. READ MORE