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An efficient versatile video coding motion estimation hardware
(Springer, 2024-04)
Versatile Video Coding (VVC) is the latest video coding standard. It provides higher compression efficiency than the previous video coding standards at the cost of significant increase in computational complexity. Motion ...
Neural network estimators for optimal tour lengths of traveling salesperson problem instances with arbitrary node distributions
(Informs, 2024)
It is essential to solve complex routing problems to achieve operational efficiency in logistics. However, because of their complexity, these problems are often tackled sequentially using cluster-first, route-second ...
How to be a good guest: American ethnographers in Turkey in the long 1968
(Wiley, 2024-03)
The article uncovers a forgotten chapter in the history of anthropology by revealing the experiences of American ethnographers in Turkey between 1967 and 1969. Using original archival documents and oral history interviews, ...
Do I see what you see? Institutional quality, action observability, and multimarket contact in the global mobile phone industry
(Wiley, 2024-02)
Research Summary: Drawing on signaling theory and the international business literature that addresses the role of institutions, we argue that multinational enterprises (MNEs) that use multimarket contact (MMC)—that is, ...
Understanding the role of serial acquisition and subsidiary autonomy in providing value within servitizing industrial networks
(Emerald, 2024)
Purpose: Research examining the joint role of serial acquisitions and subsidiary autonomy in holistic value provision within servitizing industrial firms is scarce. Thus, this paper aims to investigate the role of serial ...
Hazard assessment and an adaptation-based design as a tool for coastal resilience in Istanbul
(Springer, 2024-02)
Istanbul has to deal with increasing water-based disasters due to global climate change. Current studies commonly look for risk assessment models, but most of them do not offer design strategies for Istanbul. This study ...
Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
(Springer, 2024-02-12)
Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high ...
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data
(IOP Publishing, 2023-11)
A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton ...
Price of regulations: Regulatory costs and the cross-section of stock returns
(Oxford University Press, 2024-01)
Regulations introduce significant fixed costs and add to operating leverage. Fixed regulatory costs that contribute to operating leverage should generate a risk premium. To explore whether such a premium exists, we introduce ...
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)
This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ...
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