Essays about: "CWT"

Showing result 1 - 5 of 9 essays containing the word CWT.

1. 1. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Abboud Afram; Danial Sarab Fard Sabet; [2023]
   Keywords : EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

   Abstract : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. READ MORE

3. 2. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

   University essay from Uppsala universitet/Avdelningen Vi3

   Author : Shuai Shao; [2023]
   Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

   Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE

4. 3. Vibroacoustic Analysis of an OLTC Diverter Switch for Condition Monitoring : Time frequency analysis with Fourier and wavelet transform in combination with multivariate logistic regression for condition monitoring of OLTC diverter switch

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Simon Persson; [2023]
   Keywords : Wavelet transform; CWT; logistic regression; machine learning; ML; vibroacoustic analysis; time frequency analysis; tap changer; diverter switch; power transformer; classification; prediction; condition; vibrations; state prediction; Hitachi Energy;

   Abstract : Vibrations are everywhere around us all the time and we often recognise them as sounds that we can hear and analyse with our brain. In this thesis, data that has been gathered from a diverter switch (DS) in a controlled environment, is analysed. READ MORE

5. 4. Transfer learning techniques in time series analysis

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

   Author : Robinson Sablons de Gélis; [2021]
   Keywords : Deep learning; Time series; Transfer learning; Self-supervised learning; Domain adaptation; Djupinlärning; tidsserier; överföringsinlärning; självövervakad inlärning; domänanpassning;

   Abstract : Deep learning works best with vast andd well-distributed data collections. However, collecting and annotating large data sets can be very time-consuming and expensive. Moreover, deep learning is specific to domain knowledge, even with data and computation. E. READ MORE

6. 5. Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis

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

   Author : Jing Li; [2021]
   Keywords : Fourier Transform; Wavelet Transform; EEG and ECG Anomaly Detection; Approximate Entropy; Hellinger Distance; Long Short- Term Memory; Fourier Transform; Wavelet Transform; EEG och ECG Anomalidetektion; Approximativ Entropi; Hellinger Distans; Lång Korttidsminne;

   Abstract : Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. READ MORE