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Decomposing the earnings-to-price ratio and the cross-section of international equity-index returns
(Routledge, 2021)
We examine whether components of the earnings-to-price (EP) ratio can be used to extract incremental information to better estimate future returns in the cross-section of country-industry indexes. We demonstrate that the ...
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 ...
A conceptual framework model for an effective cold food chain management in sustainability environment
(Emerald, 2021)
Purpose: There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus, adopting ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Inferring political and religious attitudes from composite faces perceived to be related to the dark triad personality traits
(Elsevier, 2021)
We used composite face images perceived to have different levels of Dark Triad personality traits (narcissism, psychopathy, and Machiavellianism) and asked participants to predict these target individuals' religious and ...
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