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Automated flow rate control of extrusion for 3D concrete printing incorporating rheological parameters
(Elsevier, 2024-04)
The use of inline quality assessment technologies is of great importance in meeting the consistent extrusion requirements of 3D concrete printing (3DCP) applications. This paper presents a system to regulate extrusion speed ...
Developing a national pandemic vaccination calendar under supply uncertainty
(Elsevier, 2024-04)
During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to ...
Towards interactive explanation-based nutrition virtual coaching systems
(Springer, 2024-01)
The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition ...
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 ...
Deep transformer-based asset price and direction prediction
(IEEE, 2024)
The field of algorithmic trading, driven by deep learning methodologies, has garnered substantial attention in recent times. Within this domain, transformers, convolutional neural networks, and patch embedding-based ...
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 ...
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 ...
Field reconnaissance on seismic performance and functionality of Turkish industrial facilities affected by the 2023 Kahramanmaras earthquake sequence
(Springer, 2024-01)
On February 6th, 2023, an earthquake sequence with moment magnitudes (Mw) of 7.8 and 7.5 rocked southern and eastern Turkiye, affecting 15 million-residents and a significant portion of Turkiye’s industrial community. In ...
Multi-criteria decision-making model for risk management in modular construction projects
(Taylor & Francis, 2024)
The modular sector needs a precise guide to determine the most efficient risk management approaches. The main research objective of this study is to develop a multi-criteria decision-making model to find the most efficient ...
EPIoT: Enhanced privacy preservation based blockchain mechanism for internet-of-things
(Elsevier, 2024-01)
With the increasing popularity of the Internet of things (IoT) and giving the end users the opportunity of collecting and analyzing the data by these IoT devices give rise to ultimate privacy concern and is attracting ...
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