Essays about: "LSTM."

Showing result 1 - 5 of 462 essays containing the word LSTM..

  1. 1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Klara Enerud; [2024]
    Keywords : time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

    Abstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE

  3. 2. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Patric Balan; Gustav Jönemo; [2024]
    Keywords : Technology and Engineering;

    Abstract : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. READ MORE

  4. 3. 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

  5. 4. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Filip Säterberg; Rasmus Nilsson; [2024]
    Keywords : Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Abstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE

  6. 5. CNN-LSTM architecture for predicting hazardous driving situations

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Noomi Lindblad; Stefani Platakidou; [2023-10-05]
    Keywords : Data science; Machine learning; LSTM; CNN; Vehicle data; Hazardous driving situation; Deep learning;

    Abstract : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. READ MORE