Essays about: "long short-term memory"

Showing result 21 - 25 of 329 essays containing the words long short-term memory.

  1. 21. 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

  3. 22. Classifying Motion Patterns of Bikes using Machine Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Filip Larsson; Pontus Hallqvist; [2023]
    Keywords : Technology and Engineering;

    Abstract : Electric bikes have become ubiquitous in traffic, and with a growing user base and expensive prices, a demand for bike protection is increasing. Bike protection applications could include detecting and notifying the owner if their bike has been stolen or fallen over. READ MORE

  4. 23. Data Driven Modeling for Aerodynamic Coefficients

    University essay from KTH/Matematisk statistik

    Author : Erik Jonsäll; Emma Mattsson; [2023]
    Keywords : Master s thesis; System identification; Parameter estimation; Ordinary least squares; Machine learning; Aerodynamic coefficients; F18--HARV; Flight simulations.; Masteruppsats; Systemidentifiering; Parameteruppskattning; Minstakvadratmetoden; Maskininlärning; Aerodynamiska koefficienter; F18-HARV; Flygsimuleringar.;

    Abstract : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. READ MORE

  5. 24. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Humphry Takang Bate; [2023]
    Keywords : ;

    Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

  6. 25. Detecting flight patterns using deep learning

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Victor Carlsson; [2023]
    Keywords : machine learning; AI; pattern detection; CNN; LSTM; transfer learning; ADS-B; flight pattern; trajectory classification;

    Abstract : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. READ MORE