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Allan Jonathan da Silva, Jack Baczynski and José Valentim Machado Vicente
We introduce a novel stochastically correlated two-factor (i.e., bivariate) diffusion process under the square-root format, for which we analytically obtain the corresponding solutions for the conditional moment-generating functions and conditional chara...
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Nadia Brancati and Maria Frucci
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ...
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Fan Ding, Min Liu, Simon M. Hsiang, Peng Hu, Yuxiang Zhang and Kewang Jiang
The complexity and uncertainty of construction projects contribute to low efficiency in the construction industry. This research applied the Takt-time planning method to optimize the construction working process, and proposed a risk control framework bas...
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Hengyuan Zeng, Jingru Chen and Qiang Gao
In China, characterized by its vast population and limited land, expanding the scale of agricultural operations through the transfer of land management rights is a crucial pathway to achieving agricultural modernization. Using data from the China Land Ec...
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Rian Andriani,Disman Disman
Pág. in press
The health industry has the third highest voluntary turnover rate in the world; thus, the degree of participation in the health industry is still relatively low. Low employee engagement continues to make employee engagement an intriguing issue of study, ...
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Adel Ben Youssef and Mounir Dahmani
In the context of an increasingly digitized global marketplace, this study seeks to shed light on its adoption in developing countries, focusing on Morocco. Applying logit, probit, and conditional mixed-process probit models to a sample of 807 Moroccan f...
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Jingxue Wang, Min Liu, Qingshan Yang, Yi Hui and Shidong Nie
The assessment of extreme wind loading on solar arrays plays a significant role in ensuring their safe operation under strong winds. Therefore, this paper investigates the extreme wind loading on solar arrays mounted on a flat roof by taking into account...
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Arturo J. Fernández
Confidence regions for the Weibull parameters with minimum areas among all those based on the Conditionality Principle are constructed using an equivalent diffuse Bayesian approach. The process is valid for scenarios involving standard failure and progre...
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Yuan Wang, Xiaodan Shi and Takashi Oguchi
Archaeological predictive modeling (APM) is an essential method for quantitatively assessing the probability of archaeological sites present in a region. It is a necessary tool for archaeological research and cultural heritage management. In particular, ...
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Najib Bouzakhem, Panteha Farmanesh, Pouya Zargar, Muhieddine Ramadan, Hala Baydoun, Amira Daouk and Ali Mouazen
Because of the COVID-19 pandemic, the world has experienced major technological and procedural changes that will continue in the post-pandemic age. For this reason, firms are expected to learn from such an unprecedented experience and ensure that the man...
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