Erişim şekli için "info:eu-repo/semantics/closedAccess" Makale Koleksiyonu listeleme
Toplam kayıt 32, listelenen: 21-32
-
Nonlinear and Chaotic Time Series Analysis
(World Scientific Publishing Co., 2022)This study introduces the techniques used in the analysis of nonlinear and deterministic time series. Since chaotic time series are nonlinear and deterministic, the techniques introduced here can be successfully applied ... -
Novel hybrid pair recommendations based on a large-scale comparative study of concept drift detection
(Elsevier Science, 2021)During the classification of streaming data, changes in the underlying distribution make formerly learned models insecure and imprecise, which is known as the concept drift phenomenon. Online learning derives information ... -
An NSGA-II-Based Memetic Algorithm for an Energy-Efficient Unrelated Parallel Machine Scheduling Problem with Machine-Sequence Dependent Setup Times and Learning Effect
(Springer, 2021)In this study, an energy-efficient unrelated parallel machine scheduling problem is discussed. The speed scaling mechanism has been taken into account as an energy-efficient strategy. Unrelated parallel machine scheduling ... -
Optimization of dynamic ticket pricing parameters
(Palgrave Macmillan Ltd, 2019)This paper proposes a joint pricing model that combines the advantages of variable and dynamic ticket pricing models, where optimal dynamic prices are calculated for sporting events based on game-, time-, and inventory-related ... -
Predicting Patent Quality Based on Machine Learning Approach
(Institute of Electrical and Electronics Engineers Inc., 2022)The investment budget allocated by companies in R&D activities has increased due to increased competition in the market. Applications for industrial property rights by countries, investors, companies, and universities to ... -
Predicting the innovation capability of investment projects using the BIFPET algorithm: A framework and case study
(Academic Publication Council, 2016)This paper proposes a framework based on fuzzy probability for the prediction of innovation capability of an investment project. The prediction of innovation capability is a difficult task due to the fact that there exist ... -
Prediction of sports attendance: A comparative analysis
(SAGE Publications, 2022)In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major ... -
Problem areas of determining the sample size in qualitative research: a model proposal
(Emerald Publishing, 2023)PurposeThe lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. ... -
Sea surface temperature change in the Black Sea under climate change: A simulation of the sea surface temperature up to 2100
(Wiley, 2018)Surface temperature of the Black Sea increased due to climate change during the 20th century and continues to rise. Here we present by in situ data-corrected remote-sensed SST data covering a 34-year period (1982-2015). ... -
Solar panel energy production forecasting by machine learning methods and contribution of lifespan to sustainability
(Springer, 2023)The struggle to protect the atmosphere and the environment is increasing rapidly around the world. More work is needed to make energy production from renewable energy sources sustainable. The integration of energy with ... -
Terrestrial biosphere water balance analysis: a mathematical model to predict the impacts of climate change on net water budget on global scale
(Corvinus University of Budapest, 2023)The industrial revolution triggered increased greenhouse gas emissions, disrupting the water cycle, and raising global temperatures by 2°C. This shift has induced extreme weather, rising sea levels, altered precipitation, ... -
A variant of the NSGA II for the speed scaling distributed flow shop scheduling problem with total tardiness minimisation
(IOS Press BV, 2023)In this study, an energy-efficient distributed flowshop scheduling (DFSS) problem with total tardiness minimisation and machine-sequence dependent setup times is addressed. A mixed integer linear programming (MILP) model ...