Essays about: "lstm"

Showing result 1 - 5 of 169 essays containing the word lstm.

  1. 1. 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

  2. 2. 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

  3. 3. 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

  4. 4. 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

  5. 5. Applying Machine Learning Methods to Predict the Outcome of Shots in Football

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Sara Hedar; [2020]
    Keywords : machine learning; neural networks; rnn; cnn; logistic regression; lstm; mlp; binary classification; imbalanced learning; football; football shots; shot predictions;

    Abstract : The thesis investigates a publicly available dataset which covers morethan three million events in football matches. The aim of the study isto train machine learning models capable of modeling the relationshipbetween a shot event and its outcome. That is, to predict if a footballshot will result in a goal or not. READ MORE