Essays about: "multi-step"

Showing result 1 - 5 of 37 essays containing the word multi-step.

1. 1. Time Series Forecasting on Database Storage

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Pranav Patel; [2024]
   Keywords : Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE

3. 2. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Adam Ahlman; Adam Taylor; [2023]
   Keywords : Time Series; Forecasting;

   Abstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE

4. 3. Air quality prediction in metropolitan areas using deep learning methods

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Augustin Ionut Ionascu; [2023]
   Keywords : air quality; forecasting; time-series; univariate; multivariate; multi-step; Attention; Transformer;

   Abstract : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. READ MORE

5. 4. Demand Forecasting of Outbound Logistics Using Neural Networks

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Enobong Paul Otuodung; Gulten Gorhan; [2023]
   Keywords : Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

   Abstract : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. READ MORE

6. 5. Data Driven Model Identification for Remote Electrical Tilt Systems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Raphaël Ashruf; [2023]
   Keywords : ;

   Abstract : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. READ MORE