Essays about: "long short term memory"

Showing result 31 - 35 of 335 essays containing the words long short term memory.

  1. 31. Local Planning for Unmanned Ground Vehicles using Imitation Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Johan Henningsson; [2023]
    Keywords : Technology and Engineering;

    Abstract : Mobile robotics is an expanding field worldwide leading to the need for advanced path-planning algorithms that can traverse various environments. Current state-ofthe- art path-planning algorithms used at the Swedish Defence Research Agency, FOI, tend to be inflexible and parameter dependent. READ MORE

  3. 32. Deep Learning in the Web Browser for Wind Speed Forecasting using TensorFlow.js

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

    Author : Sara Moazez Gharebagh; [2023]
    Keywords : TensorFlow.js; JavaScript; Artificial Neural Networks; Deep Learning; Recurrent Neural Networks; Long Short-Term Memory; GatedRecurrent Units; TensorFlow.js; JavaScript; Artificiella Neurala Nätverk; Djupinlärning; Recurrent Neural Networks; Long Short-Term Memory; GatedRecurrent Units;

    Abstract : Deep Learning is a powerful and rapidly advancing technology that has shown promising results within the field of weather forecasting. Implementing and using deep learning models can however be challenging due to their complexity. READ MORE

  4. 33. EV - charger availability prediction based on machine learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jainu Joseph; Jacob Sebastian; [2023]
    Keywords : ;

    Abstract : In response to the rapid growth of electric vehicles (EVs), our research focuses on the critical need for efficient management of charging infrastructure to facilitate the widespread adoption of EVs. Thisresearch leverages historical charging data as a foundation for predicting charging station availability. READ MORE

  5. 34. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE

  6. 35. Classifying personal data on contextual information

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

    Author : Carl Dath; [2023]
    Keywords : Natural Language Processing; Machine Learning; Word2Vec; GloVe; BERT; Personal Data classification; Språkteknologi; Maskininlärning; Personlig Data Klassificering;

    Abstract : In this thesis, a novel approach to classifying personal data is tested. Previous personal data classification models read the personal data before classifying it. However, this thesis instead investigates an approach to classify personal data by looking at contextual information frequently available in data sets. READ MORE