Ara
Toplam kayıt 63, listelenen: 31-40
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, ...
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 ...
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 ...
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, ...
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 ...
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 ...
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 ...