Essays about: "LSTM"

Showing result 1 - 5 of 171 essays containing the word LSTM.

  1. 1. Compressed Machine Learning on Time Series Data

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

    Author : Felix Finger; Nathalie Gocht; [2020-07-08]
    Keywords : time series clustering; large scale data; machine learning; prediction; anomaly detection; compression;

    Abstract : The extent of time related data across many fields has led to substantial interestin the analysis of time series. This interest meets growing challenges to store andprocess data. While the data is collected at an exponential rate, advancements inprocessing units are slowing down. READ MORE

  2. 2. Deep Learning for Anomaly Detection in Microwave Links : Challenges and Impact on Weather Classification

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

    Author : Olof Engström; [2020]
    Keywords : Anomaly Detection; Time Series; Forecasting; Weather Classification; Microwave Link; CNN; LSTM; Avvikelsedetektering; Tidsserier; Prognostisering; Väderklassificering; Mikrovågslänkar; faltningsnätverk; CNN; LSTM;

    Abstract : Artificial intelligence is receiving a great deal of attention in various fields of science and engineering due to its promising applications. In today’s society, weather classification models with high accuracy are of utmost importance. READ MORE

  3. 3. Evaluation of text classification techniques for log file classification

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Per Olin; [2020]
    Keywords : Text classification; machine learning; NLP; natural language processing; log file; doc2vec; CNN; LSTM; LSTM-CNN;

    Abstract : System log files are filled with logged events, status codes, and other messages. By analyzing the log files, the systems current state can be determined, and find out if something during its execution went wrong. READ MORE

  4. 4. Sales Forecasting of Truck Components using Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Yeshwanth Reddy Gaddam; [2020]
    Keywords : Sales forecasting; Artificial Neural Networks; Long Short Term Memory; Multilayer Perceptron; Recurrent Neural Network.;

    Abstract : Background: Sales Forecasting plays a substantial role in identifying the sales trends of products for the future era in any organization. These forecasts are also important for determining the profitable retail operations to meet customer demand, maintain storage levels and to identify probable losses. READ MORE

  5. 5. How Certain Are You of Getting a Parking Space? : A deep learning approach to parking availability prediction

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Author : Mathias Nilsson; Sophie von Corswant; [2020]
    Keywords : monte carlo dropout; mc dropout; long short term memory; lstm; neural network; recurrent neural network; gradient tree boosting; rnn; gradient boosting regression tree; gbrt; quantile regression; traffic congestion; parking; parking occupancy; parking availability; parking space; parking lot; machine learning;

    Abstract : Traffic congestion is a severe problem in urban areas and it leads to the emission of greenhouse gases and air pollution. In general, drivers lack knowledge of the location and availability of free parking spaces in urban cities. READ MORE