Rok 2023

• Classification of Sea Going Vessels Properties Using SAR Satellite Images

  Publikacja

  • D. Kobiela
  • T. E. Berezowski (dawniej: T. Berezowski)

  - Rok 2023

  The aim of the project was to analyze the possibility of using machine learning and computer vision to identify (indicate the location) of all sea-going vessels located in the selected area of the open sea and to classify the main attributes of the vessel. The key elements of the project were to download data from the Sentinel-1 satellite [1], download data on the sea vessels [2], then automatically tag data and develop a detection...

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• Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets

  Publikacja

  • D. Kobiela
  • J. Groth
  • M. Sieczczyński
  • R. Wolniak
  • K. Pastuszak

  - Rok 2023

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Rok 2022

• ARIMA vs LSTM on NASDAQ stock exchange data

  Publikacja

  • D. Kobiela
  • D. Krefta
  • W. Król
  • P. Weichbroth

  - Procedia Computer Science - Rok 2022

  This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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