Güncel Gönderiler: Makale Koleksiyonu
Toplam kayıt 77, listelenen: 21-40
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Robotik Süreç Otomasyonlarının Havacılık Sektörü Uygulamaları ve Geleceği
(Journal of Aviation, 2021)Bu makalede, havacılık sektöründe robotik süreç otomasyonlarının kullanılmasına ilişkin olası faydalar ve öngörüler sunmaktadır. Türkiye’de düşük maliyetli havayolu şirketi ve bunların konsepti ve uygulaması üzerine ... -
Analysis of Causality Between Bitcoin and Ethereum Using Transfer Entropy
(Üçüncü Sektör Sosyal Ekonomi Dergisi, 2022)In the literature causality and information flow between time series are investigated. To analyze this relationship several causality tests are proposed. Mostly used causality tests are Granger, Toda-Yamamoto and Hatemi-J ... -
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 ... -
Stability Analysis of Bitcoin using Recurrence Quantification Analysis
(Chaos Theory and Applications, 2022)Cryptocurrencies are new kinds of electronic currencies based on communication technologies. These currencies have attracted the attention of investors. However, cryptocurrencies are very volatile and unpredictable. For ... -
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 ... -
Electrospinning of PVDF nanofibers incorporated cellulose nanocrystals with improved properties
(Springer, 2022)Polyvinylidene fluoride (PVDF) nanofibers with cellulose nanocrystals (CNCs) were produced with the electrospinning technique at the CNC loading rates of 0.25, 0.50, 0.75, and 1 wt%. CNCs were obtained with acid hydrolysis ... -
Electrospinning of PVDF nanofibers incorporated cellulose nanocrystals with improved properties
(Springer, 2022)Polyvinylidene fluoride (PVDF) nanofibers with cellulose nanocrystals (CNCs) were produced with the electrospinning technique at the CNC loading rates of 0.25, 0.50, 0.75, and 1 wt%. CNCs were obtained with acid hydrolysis ... -
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 ... -
Causality Analysis for COVID-19 among Countries Using Effective Transfer Entropy
(MDPI, 2022)In this study, causalities of COVID-19 across a group of seventy countries are analyzed with effective transfer entropy. To reveal the causalities, a weighted directed network is constructed. In this network, the weights ... -
Nonlinear Chaotic Analysis of USD/TRY and EUR/TRY Exchange Rates
(Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 2022)Bu çalışmada DOLAR/TL ve EURO/TL döviz kurları doğrusal olmayan ve kaotik zaman serileri analizi yöntemleriyle analiz edilmiştir. Bu çalışmada kaosun tespiti için korelasyon boyutu, Lyapunov katsayısı, vekil veri testi ... -
Distributed Flow Shop Scheduling Problem With Learning Effect, Setups, Non-Identical Factories, and Eligibility Constraints
(University of Cincinnati, 2022)In the flow shop scheduling, the route of each job is the same, and the order of the jobs on the machines is determined. In the distributed flow shop scheduling (DFSS) problem, on the other hand, the assignment of jobs to ... -
Does fleet standardization matter on profitability and financial policy response of airlines during COVID-19 pandemics in the U.S?
(Elsevier, 2022)This study tries to find the contribution of the fleet standardization index of airline companies through the financial values of airlines in the COVID-19 pandemic crisis. One of the driving forces of this research is the ... -
Karmaşıklık İktisadı: Teorik Bir İnceleme
(İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 2021)Yakın yakın planlık olarak yeni bir paradigmaortaya bakın. Karmaşıklık karmaşık sistemlerin modellenmesi veanlaşılması ile ilgilenmektedir. Bu teorinin ortaya çıkışının hedefibilgisayar ürünündeki hedeftir. Bilgisayar ... -
Location selection by multi-criteria decision-making methods based on objective and subjective weightings
(Springer, 2021)The location selection is a strategic decision that significantly influences revenue, level of competition, and success of companies and countries. This study aims to propose a hybrid approach for the location selection, ... -
A hybrid heuristic solution based on simulated annealing algorithm for energy efficient single machine scheduling problem with sequence dependent setup times
(Gazi Üniversitesi, 2021)Increased carbon dioxide emissions and energy consumption increase interest in energy efficient scheduling problems. In this study, speed scaling method is discussed in order to provide energy saving in multiobjective ... -
Investigation of breaking points in the airline industry with airline optimization studies through text mining before the covid-19 pandemic
(SAGE Publications, 2021)In this study, current literature in the field of airline optimization has been examined by the text mining method to understand trends and commercial threats in the airline industry. Prominent types of work and popular ... -
Evaluation of service quality using SERVQUAL scale and machine learning algorithms: a case study in health care
(Emerald Group Publishing Ltd., 2021)Purpose This study aims to propose a service quality evaluation model for health care services. Design/methodology/approach In this study, a service quality evaluation model is proposed based on the service quality measurement ... -
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 ... -
A Particle Swarm Algorithm For Manual Lifting Tasks Design
(Ergonomi (Online), 2018)In recent years although the Industry 4.0 concept, which has been used in almost all stages, is still on the agenda, many lifting operations are still carried out manually. In terms of occupational health and safety, ... -
Forecasting Models For Covid-19 Cases of Turkey Using Artificial Neural Networks and Deep Learning
(TMMOB Makina Mühendisleri Odası, 2020)Governments face a dilemma between public health and the economy while making strategic decisions on health during a pandemic outbreak. It is of great importance to forecast the number of cases in terms of strategic ...