The thematic assessment of pollinators, pollination and food production carried out under the auspices of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services aims t...
The standard approach analyzing the business cycle (RBC) is based on Hodrick-Prescott (HP) and Band- Pass (BP) filters to extract the cyclical component of the aggregate time series. By Monte Carlo ex...
The report focuses on the actual task of development of mathematical tool for data mining and nonlinear non-stationary processes forecasting. The proposed mathematical tool can use in solving the prob...
The purpose of the publication is to present to the academic community and practitioners in our country the achieved forecast accuracy in the economic field by applying various modern methods. The mai...
The primary objective of structural health monitoring (SHM) is to determine whether a structure is performing as expected or if there is any anomaly in its behavior compared with the normal condition....
The presence of autocorrelation in time series data significantly affects the performance of statistical process control charts. For process data collected in real time, consecutive observations resul...
The performance of multisource renewable energy system depends strongly on the meteorological parameters pertinent to the energy generating systems. Therefore, a method of modelling and forecasting me...
The paper provides analysis of new car sales in Bosnia and Herzegovina for the period 2007-2014. For the examined period new car sales in B&H was reduced by 53.67%, from 12449 in 2007 to 6682 in 2014....
The packaging industry is a dynamic sector of industry that is projected to grow by almost 3% per year for the next ten years. The plastic packaging industry that contributes to the growth of the pack...
The ocean currents speeds in the harbor waterway are directly related to the ability of the ship to in or out the harbor. Accurately predict the speeds can assist the ship to choose the right time for...
The objective of this study were (i) to construct the classical statistic and artificial intelligent model for predicting bitcoin cryptocurrency, and (ii) to compare the predicting performance by usin...
The objective of the paper refers to change detection in the structure of time series data, with direct application in fault detection of industrial processes and their components. The detection crite...
The need for reliability and availability has increased in modern applications, in order to handle rapidly growing demands while providing uninterrupted service. Cloud computing systems fundamentally ...
The need for high reliability, availability and performance has significantly increased in modern applications, that handle rapidly growing demands while providing uninterruptible services. Cloud comp...
The main objective in this research is to predict day-ahead prices using ARMA. Box and Jenkins developed a regression model to identify, assess and diagnose dynamic time series models in which the tim...
The issue in ARIMA modeling is the use of model selection criteria to choose the best ARIMA model. The use of different model selection criteria can produce the best ARIMA models that are different so...
The increasing globalization of market is forcing hard competition, consequently resulting increased complexity in supply chains. Complexity has many negative effects (consequences) on supply chains s...
The future of intelligent transportation systems has become in- creasingly dependent on the integration of heterogeneous wireless technologies over connected vehicular networks. In order to pro- vide ...
The following paper presents an overview of the actual forecasting methods and models used in renewable energy systems. The purpose of the study is to summarize the available forecasting tools in orde...
The focus of this study is on developing a decision support system (DSS) in order to forecast spare parts demand for a company producing high technology products in Turkey. The company is one of the w...