Essays about: "model order reduction using machine learning"

Showing result 1 - 5 of 11 essays containing the words model order reduction using machine learning.

1. 1. 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

3. 2. Minimizing the expected opportunity loss by optimizing the ordering of shipping methods in e-Commerce using Machine Learning

   University essay from KTH/Matematik (Avd.)

   Author : Jonatan Ay; Jamil Azrak; [2022]
   Keywords : statistics; machine learning; applied mathematics; e-commerce; statistik; maskininlärning; tillämpad matematisk statistik; e-handel;

   Abstract : The shopping industry is rapidly changing as the technology is advancing. This is especially true for the online industry where consumers are nowadays able to to shop much of what the need over the internet. READ MORE

4. 3. Clustering SQL-queries using unsupervised machine learning

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Thomas Schmidt; [2022]
   Keywords : unsupervised machine learning; machine learning; SQL; AI; clustering;

   Abstract : Decerno has created a business system that utilizes Microsoft's Entity Framework (EF) which is an object-database mapper. It can automatically generate SQL queries from code written in C#. Some of these queries has started to display significant increase in query response time which require further examination. READ MORE

5. 4. The effects of data compression on the decoding of neuronal activity during handwriting with a comparison between linear and nonlinear models

   University essay from KTH/Datavetenskap

   Author : William Bigert; Marcus Friberg; [2022]
   Keywords : ;

   Abstract : Brain computer interfaces (BCI) play a key role in enabling individuals who are suffering from the dreaded locked-in syndrome or severe forms of paralysis to communicate with the world around them. A state of the art BCI was developed by Willet et al. READ MORE

6. 5. Comparison of Machine Learning Algorithms for Anomaly Detection in Train’s Real-Time Ethernet using an Intrusion Detection System

   University essay from

   Author : Trayi Chaganti; Tadi Rohith; [2022]
   Keywords : Anomaly detection; Computing methodologies; Machine learning; Real-time Ethernet; Supervised learning;

   Abstract : Background: The train communication network is vulnerable to intrusion assaultsbecause of the openness of the ethernet communication protocol. Therefore, an intru-sion detection system must be incorporated into the train communication network. READ MORE