Essays about: "Multi-Channel Network"

Showing result 1 - 5 of 17 essays containing the words Multi-Channel Network.

  1. 1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

    Author : Marie-Ange Stefanos; [2023]
    Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

  3. 2. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : M Asjid Tanveer; [2023]
    Keywords : Technology and Engineering;

    Abstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE

  4. 3. 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

  5. 4. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE

  6. 5. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

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

    Author : Stefan Christiansson; [2023]
    Keywords : MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Abstract : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. READ MORE