Essays about: "Lång korttidsminne"

Found 5 essays containing the words Lång korttidsminne.

1. 1. Supervised Algorithm for Predictive Maintenance

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

   Author : Haida Lu; [2023]
   Keywords : Long short-term memory; Predictive maintenance; Remaining useful life; Embedded Artificial Intelligence; Långt korttidsminne; förebyggande underhåll; återstående livslängd; inbyggd artificiell intelligens;

   Abstract : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. READ MORE

3. 2. Comparing decentralized learning to Federated Learning when training Deep Neural Networks under churn

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

   Author : Johan Vikström; [2021]
   Keywords : Peer- to- Peer; Decentralized Machine Learning; Federated Learning; Gossip Learning; Long Short- Term Memory; Convolutional Neural Network; Peer- to- peer; Decentraliserad Maskininlärning; Federated learning; Gossip learning; Lång korttidsminne;

   Abstract : Decentralized Machine Learning could address some problematic facets with Federated Learning. There is no central server acting as an arbiter of whom or what may benefit from Machine Learning models created by the vast amount of data becoming available in recent years. READ MORE

4. 3. 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

5. 4. Point Process Based Phoneme Recognition Acceleration

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

   Author : Hongliang Qiu; [2019]
   Keywords : ;

   Abstract : Stochastic gradient descent (SGD) is the core technology to train a deep learning model. It is well known that SGD suffers from the variance of gradients in each iteration. Deep learning has already been widely used in many applications because of its great performance in tasks such as image recognition. READ MORE

6. 5. The impact of parsing methods on recurrent neural networks applied to event-based vehicular signal data

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

   Author : Lindblad Max; [2018]
   Keywords : neural network; artificial neural network; ANN; recurrent neural network; RNN; long-short term memory; LSTM; event; slice; parsing method; slice parsing; event parsing; time-slice; event-based; slice-based; signal data; temporal data; temporal sequence; multivariate; time-series; unequally spaced; unevenly spaced; irregularly spaced; Scania; SICS; SAGA;

   Abstract : This thesis examines two different approaches to parsing event-based vehicular signal data to produce input to a neural network prediction model: event parsing, where the data is kept unevenly spaced over the temporal domain, and slice parsing, where the data is made to be evenly spaced over the temporal domain instead. The dataset used as a basis for these experiments consists of a number of vehicular signal logs taken at Scania AB. READ MORE