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Showing result 1 - 5 of 159 essays matching the above criteria.

  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. 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

  4. 3. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : TARUN NATTALA; [2023]
    Keywords : CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

    Abstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE

  5. 4. Deep Learning Based Sentiment Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Shashank Kalluri; [2023]
    Keywords : Sentiment Analysis; Word Embedding; Deep Learning;

    Abstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE

  6. 5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE