Güncel Gönderiler: Makale Koleksiyonu
Toplam kayıt 84, listelenen: 41-60
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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 ... -
Beyaz Peynirden İzole Edilen Cryptococcus Humicola Suşlarının Starter Aktivitelerinin Araştırılması
(Gıda Teknoloji Derneği, 2020)Starter kültür, kontrollü koşullarda standart kültür elde etmek için endüstride kullanılan mikroorganizmalardır. Mayalar destekleyici kültürler olarak fermente ürünlerin olgunlaşmasında, aroma ve kıvamın gelişmesinde katkıda ... -
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 Comparative Analysis of Dropout Prediction in Massive Open Online Courses
(Springer, 2021)Massive open online courses (MOOCs) provide a valuable learning platform for global learners. They are extensively utilized by an increasing number of people from all over the world due to their remarkable features, including ... -
Enerji etkin ve sıra bağımlı hazırlık süreli tek makine çizelgeleme problemi için tavlama benzetimi algoritması tabanlı hibrit sezgisel çözüm önerisi
(Gazi Üniversitesi, 2021)Artan karbondioksit emisyonu ve enerji tüketimi, enerji etkin çizelgeleme problemlerine ilgiyi arttırmıştır. Bu çalışmada çok amaçlı enerji etkin tek makine çizelgeleme probleminde enerji tasarrufunun sağlanması amacıyla ... -
Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain
(Copernicus Publications, 2021)To allow for climate impact studies on human and natural systems, high-resolution climate information is needed. Over some parts of the world plenty of regional climate simulations have been carried out, while in other ... -
Relationship Between Climate Change Driven Sea Surface Temperature, Chl-a Density and Distribution of Giant Devil Ray (Mobula Mobular Bonnaterre, 1788) in Eastern Mediterranean: First Schooling by-Catch Record off Turkish Coasts
(Yunus Araştırma Bülteni, 2017)Every ecosystem of the Earth is influenced by altering of physical and chemical composition of the Earth's atmosphere. Climate and thus sea surface temperature changes in the marine ecosystems affects particularly the ... -
A multi-start iterated tabu search algorithm for the multi-resource agent bottleneck generalized assignment problem
(An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 2020)In this study, a multi-resource agent bottleneck generalized assignment problem (MRBGAP) is addressed. In the bottleneck generalized assignment problem (BGAP), more than one job can be assigned to an agent, and the objective ... -
The responses of net ecosystem production to climate change: A modelling study to identify the sink and source of carbon regions at the pan-european scale
(Corvinus University of Budapest, 2020)Identifying sinks or sources of CO2 in the terrestrial biosphere has become an important topic in the last decades. Net Ecosystem Production (NEP) is one of the most used parameters for the understanding and visualization ... -
A clustering-based approach for the evaluation of candidate emerging technologies
(Springer, 2020)The aim of this study is to propose a clustering-based approach based on patent information for the evaluation of candidate emerging technologies. The proposed approach uses patent analysis and clustering approaches in ... -
Wheat Yield Estimation from NDVI and Regional Climate Models in Latvia
(MDPI, 2020)Wheat yield variability will increase in the future due to the projected increase in extreme weather events and long-term climate change effects. Currently, regional agricultural statistics are used to monitor wheat yield. ... -
An integrated methodology for the selection of sustainable suppliers and order allocation problem with quantity discounts, lost sales and varying supplier availabilities
(Elsevier, 2020)In this study, selection of sustainable suppliers (SSS) and order allocation (OA) problem is generalized by considering multi-product, multi-supplier and multi-period scenarios with quantity discounts, lost sales and varying ... -
A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy
(Springer, 2020)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 ... -
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 ...
