Essays about: "Univariate Time-Series Models"

Showing result 1 - 5 of 23 essays containing the words Univariate Time-Series Models.

1. 1. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks

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

   Author : Eddie Nevander Hellström; Johan Slettengren; [2023]
   Keywords : ;

   Abstract : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. READ MORE

3. 2. 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

4. 3. 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

5. 4. Machine Learning of Laser Ultrasonic Data to Predict Material Properties

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Filip Tuvenvall; [2023]
   Keywords : Machine Learning; Laser Ultrasonics; Material Properties; Steel; Hardness of Steel;

   Abstract : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. READ MORE

6. 5. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

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

   Author : Gustaf Halvardsson; [2023]
   Keywords : Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

   Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE