Sökning: "tidsserieanalys"

Visar resultat 31 - 35 av 113 uppsatser innehållade ordet tidsserieanalys.

1. 31. Inferring 3D trajectory from monocular data using deep learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Victor Sellstedt; [2021]
   Nyckelord :Deep Learning; Monocular trajectory estimation; Time series prediction; Synthetic data; Djupinlärning; Inferens från monkulära sekvenser; Tidsserieanalys; Syntetisk data;

   Sammanfattning : Trajectory estimation, with regards to reconstructing a 3D trajectory from a 2D trajectory, is commonly achieved using stereo or multi camera setups. Although projections from 3D to 2D suffer significant information loss, some methods approach this problem from a monocular perspective to address limitations of multi camera systems, such as requiring points in to be observed by more than one camera. LÄS MER

3. 32. A Comparative Study : Time-Series Analysis Methods for Predicting COVID-19 Case Trend

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Chenhui Xu; [2021]
   Nyckelord :Time-series analysis; ARIMA; Prophet; LSTM; Transformer; Tidsserieanalys; ARIMA; Prophet; LSTM; Transformer;

   Sammanfattning : Since 2019, COVID-19, as a new acute respiratory disease, has struck the whole world, causing millions of death and threatening the economy, politics, and civilization. Therefore, an accurate prediction of the future spread of COVID-19 becomes crucial in such a situation. LÄS MER

4. 33. A Study Evaluating the Liquidity Risk for Non-Maturity Deposits at a Swedish Niche Bank

   Master-uppsats, KTH/Matematisk statistik

   Författare :Markus Hilmersson; [2020]
   Nyckelord :Financial mathematics; time series analysis; risk management; risk analysis; non-maturing deposits; SARIMA; SARIMAX; BCBS; IRRBB; Finansiell matematik; tidsserieanalys; riskhantering; riskanalys; Icke-tidsbunden inlåning; SARIMA; SARIMAX; BCBS; IRRBB;

   Sammanfattning : Since the 2008 financial crisis, the interest for the subject area of modelling non-maturity deposits has been growing quickly. The area has been widely analysed from the perspective of a traditional bank where customers foremost have transactional and salary deposits. However, in recent year the Swedish banking sector has become more digitized. LÄS MER

5. 34. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Roxana Buzatoiu; [2020]
   Nyckelord :Time Series Analysis; Recurrent Neural Networks; long-term Forecasting; Exploratory Data Analysis; Multiple Linear Regression; ACF; PACF; Energy Sector; Tidsserieanalys; återkommande neurala nätverk; långtidsprognoser; undersökande dataanalys; multipel linjär regression; ACF; PACF; energisektor;

   Sammanfattning : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. LÄS MER

7. 35. Encoder-Decoder Networks for Cloud Resource Consumption Forecasting

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sami Mejdi; [2020]
   Nyckelord :Telecommunications; Cloud; Time Series; Forecasting; Encoder-Decoder; Deep Learning; Machine Learning; Telekommunikation; Moln; Tidsserie; Prognoser; Encoder-Decoder; Djupinlärning; Maskininlärning;

   Sammanfattning : Excessive resource allocation in telecommunications networks can be prevented by forecasting the resource demand when dimensioning the networks and then allocating the necessary resources accordingly, which is an ongoing effort to achieve a more sustainable development. In this work, traffic data from cloud environments that host deployed virtualized network functions (VNFs) of an IP Multimedia Subsystem (IMS) has been collected along with the computational resource consumption of the VNFs. LÄS MER