Search results for: autoregressive integrated moving average - Bridge of Knowledge

Search

Search results for: autoregressive integrated moving average

Best results in : Research Potential Pokaż wszystkie wyniki (82)

Search results for: autoregressive integrated moving average

  • Zespół Systemów Multimedialnych

    * technologie archiwizacji, rekonstrukcji i dostępu do nagrań archiwalnych * technologie inteligentnego monitoringu wizyjnego i akustycznego * multimedialne technologie telemedyczne * multimodalne interfejsy komputerowe

  • Zespół Systemów Multimedialnych

    * technologie archiwizacji, rekonstrukcji i dostępu do nagrań archiwalnych * technologie inteligentnego monitoringu wizyjnego i akustycznego * multimedialne technologie telemedyczne * multimodalne interfejsy komputerowe

  • Katedra Przedsiębiorczości i Prawa Gospodarczego

    Zatrudnieni w niej pracownicy wywodzą się z różnych katedr i reprezentują kilka dyscyplin naukowych, które wiążą się z przedsiębiorczością. Zajmujemy się ekonomią, zarządzaniem, prawem, psychologią, czyli naukami, w których przedsiębiorczość jest jednym z istotnych analizowanych zjawisk. Dzięki zróżnicowaniu dyscyplin, które reprezentujemy, realizujemy wielostronne badania dotyczące - poza przedsiębiorczością - także samego przedsiębiorcy...

Best results in : Business Offer Pokaż wszystkie wyniki (18)

Search results for: autoregressive integrated moving average

Other results Pokaż wszystkie wyniki (37)

Search results for: autoregressive integrated moving average

  • The Dynamics of Trade Relations between Ukraine and Romania: Modelling and Forecasting

    Publication

    - Virtual Economics - Year 2022

    The article examines the monthly dynamics of exports, imports and balance of trade between Ukraine and Romania in the period from 2005 to 2021. Time series from 2015 to 2021 were used for modelling and forecasting (since the date the European Union–Ukraine Association Agreement took effect). Adequate models of the dynamics series of the Box-Jenkins methodology were built: additive models with seasonal component ARIMA (Autoregressive...

    Full text available to download

  • ARIMA vs LSTM on NASDAQ stock exchange data

    Publication

    - Procedia Computer Science - Year 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...

    Full text available to download

  • Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters

    Publication

    - ENERGIES - Year 2022

    Smart meters in road lighting systems create new opportunities for automatic diagnostics of undesirable phenomena such as lamp failures, schedule deviations, or energy theft from the power grid. Such a solution fits into the smart cities concept, where an adaptive lighting system creates new challenges with respect to the monitoring function. This article presents research results indicating the practical feasibility of real‐time...

    Full text available to download

  • Survey on Applications of Multimedia Technology to Examine Impact of Roadside Advertising on Drivers

    The correct location of ads, both static and moving, in close proximity of the roadway is an issue of high significance in the context of road safety. This publication aims to provide support in solving these issues by presenting a range of options for the implementation of extensive, multi-faceted research, using modern technology to allow an objective assessment of the risks arising from the presence of advertising spots in the...

    Full text to download in external service

  • Counting and tracking vehicles using acoustic vector sensors

    A method is presented for counting vehicles and for determining their movement direction by means of acoustic vector sensor application. The assumptions of the method employing spatial distribution of sound intensity determined with the help of an integrated 3D intensity probe are discussed. The intensity probe developed by the authors was used for the experiments. The mode of operation of the algorithm is presented in conjunction...

    Full text to download in external service