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Toplam kayıt 44, listelenen: 21-30
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 ...
A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy
(Springer, 2021)
This study presents a comprehensive and comparative analysis of weighting and multiple attribute decision-making (MADM) methods in the context of sustainable energy. As the selection problems of energy involve various ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...