Güncel Gönderiler: Scopus İndeksli Yayınlar Koleksiyonu
Toplam kayıt 1451, listelenen: 161-180
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Tourist guides facing the impacts of the pandemic COVID-19
(Routledge, 2021)This study reveals the impacts of the COVID-19 outbreak on the profession of tourist guides and offers possible solutions to the industry. The study draws from the recently published studies and guides’ perspectives from ... -
Smart circular supply chains to achieving SDGs for post-pandemic preparedness
(Emerald, 2021)Purpose: The coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable. For this purpose, it is aimed to ... -
Risk management tools in the road transportation industry with mediation and moderation analysis
(Poznan School of Logistics, 2021)Background: This study aims to shed light on risk-mitigating tools and strategies that can be used in third-party logistics (3PL) companies to increase performance. Risk and risk management tools are identified and classified ... -
How machine learning facilitates decision making in emergency departments: Modelling diagnostic test orders
(Wiley, 2021)Objectives: Since emergency departments (EDs) are responsible for providing initial care for patients who may need urgent medical care, they are highly sensitive to increased patient delays. A key factor that increases ... -
Hospital layout design renovation as a Quadratic Assignment Problem with geodesic distances
(Elsevier, 2021)Hospital facilities are known as functionally complex buildings. There are usually configurational problems that lead to inefficient transportation processes for patients, medical staff, and/or logistics of materials. The ... -
Political storytelling of Ekrem İmamoğlu on Instagram during 2019 Istanbul mayoral elections in Turkey
(Routledge, 2021)This study aims to shed light on the visual aspect of digital storytelling during elections and its effects on a candidate’s overall campaign narrative. Focusing on Turkey’s 2019 mayoral elections, the study examines how ... -
From Conventional Methods to Contemporary Neural Network Approaches: Financial Fraud Detection
(Springer Nature, 2021)This chapter provides insights on the underlying reasons to replace the conventional methods with contemporary approaches—the neural network-based machine learning methods—in financial fraud detection. To do this, we perform ... -
Analysis of factors impacting survivability of sustainable supply chain during COVID-19 pandemic: an empirical study in the context of SMEs
(Emerald Group Holdings Ltd, 2021)Purpose Nowadays, many firms are finding ways to enhance the survivability of sustainable supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of small and medium enterprises (SMEs) during the ... -
Performance comparison of meta-heuristics for the multiblock warehouse order picking problem
(University of Cincinnati, 2021)This study focuses on streamlining the order-picking process in a warehouse. We consider determining the picking sequence of items in a pick-list to minimize the total traveled distance in a multiblock warehouse, where a ... -
Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms
(Public Library of Science, 2021)To reduce the problem of sedimentation in open channels, calculating flow velocity is critical. Undesirable operating costs arise due to sedimentation problems. To overcome these problems, the development of machine learning ... -
New convolutional neural network models for efficient object recognition with humanoid robots
(Taylor and Francis Inc., 2021)Humanoid robots are expected to manipulate the objects they have not previously seen in real-life environments. Hence, it is important that the robots have the object recognition capability. However, object recognition is ... -
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods
(Springer, 2021)Owing to the nonlinear and non-stationary nature of the suspended sediment transport in rivers, suspended sediment concentration (SSC) modeling is a challenging task in environmental engineering. Investigation of SSC is ... -
A tale of two hashtags: An examination of moral content of pro- and anti-government tweets in Turkey
(John Wiley and Sons Ltd, 2021)During the campaign period of the 2018 Presidential Election in Turkey, there was a burst in the number of tweets posted by both pro- and anti-government Twitter users. Both sides started their own hashtags and reached a ... -
A new model for minimizing the electric vehicle battery capacity in electric travelling salesman problem with time windows
(Turkiye Klinikleri, 2021)The growing pollution in the environment and the negative shift in the global climate compel authorities to take action to protect the environment and human health. Transportation is one of the major contributors to this ... -
Special issue on 'Recent advances in multi-disciplinary modeling & simulations'
(Taylor and Francis Ltd., 2021) -
Financial inclusion and poverty: evidence from Turkish household survey data
(Routledge, 2021)Even though poverty is highly felt in developing economies, the lack of relevant and complete micro-level data limits understanding which households are more exposed to poverty and the role of financial inclusion in poverty ... -
Framework for a sustainable supply chain to overcome risks in transition to a circular economy through Industry 4.0
(Taylor and Francis, 2021)Transition from a linear to a circular economy (CE) is a challenging process for a sustainable supply chain, and innovative process approaches and technologies are needed to deal with the risks involved. Industry 4.0 ... -
A multiphase acceptance sampling model by attributes to investigate the production interruptions in batch production within tobacco industry
(Emerald, 2021)Purpose: This paper aims to create a new decision-making procedure that uses “Lot-by-Lot Acceptance Sampling Plan by Attributes” methodology in the production processes when any production interruption is observed in tobacco ... -
Learning to move an object by the humanoid robots by using deep reinforcement learning
(IOS Press, 2021)This paper proposes an algorithm for learning to move the desired object by humanoid robots. In this algorithm, the semantic segmentation algorithm and Deep Reinforcement Learning (DRL) algorithms are combined. The semantic ... -
A Conceptual Framework for Food Loss and Waste in Agri-Food Supply Chains: Circular Economy Perspective
(2021)The importance given to Circular Economy (CE) has further increased in the Agri-Food Supply Chain (AFSC) to combat the challenges of food loss and waste which could be caused by various reasons, such as poor stock management, ...
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