Essays about: "trend of training"

Showing result 6 - 10 of 88 essays containing the words trend of training.

1. 6. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning

   University essay from Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

   Author : Joar Lönngren; Ludwig Tiston; [2023]
   Keywords : Machine Learning; Neural Network; Cosmic Dust; Solar Orbiter; Space Physics; Space Dust;

   Abstract : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. READ MORE

3. 7. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?

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

   Author : Lina Shrebati; [2023]
   Keywords : Time Series; Forecasting; COVID-19; Data processing; Optimal transport; Tidsserier; Prognoser; COVID-19; Databehandling; Optimal transport;

   Abstract : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. READ MORE

4. 8. An Artificial Neural Network Approach to Algorithmic Trading

   University essay from Lunds universitet/Matematisk statistik

   Author : Timmie Bengtsson; [2023]
   Keywords : Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

   Abstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE

5. 9. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

   University essay from Lunds universitet/Matematik LTH

   Author : Elias Aronsson; [2023]
   Keywords : Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

   Abstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE

6. 10. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

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

   Author : Isabella Mustén Ross; [2023]
   Keywords : Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

   Abstract : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. READ MORE