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Huiying Ren, Z. Jason Hou, Mark Wigmosta, Ying Liu and L. Ruby Leung
Changes in extreme precipitation events may require revisions of civil engineering standards to prevent water infrastructures from performing below the designated guidelines. Climate change may invalidate the intensity-duration-frequency (IDF) computatio...
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Monicah Mugambi, Robert Obuba
Pág. 81 - 88
AbstractMany internal and external factors influence consumer decision-making when it comes to the purchase and use of various products and services. The attributes of the product itself, the brand, and the container in which it is encased is the most im...
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Julio Garrote, Ignacio Gutiérrez-Pérez and Andrés Díez-Herrero
Calibration and validation of flood risk maps at a national or a supra-national level remains a problematic aspect due to the limited information available to carry out these tasks. However, this validation is essential to define the representativeness o...
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Vanessa de Arruda Souza, Débora Regina Roberti, Anderson Luis Ruhoff, Tamíres Zimmer, Daniela Santini Adamatti, Luis Gustavo G. de Gonçalves, Marcelo Bortoluzzi Diaz, Rita de Cássia Marques Alves and Osvaldo L. L. de Moraes
Evapotranspiration (ET) is an important component of the hydrological cycle. Understanding the ET process has become of fundamental importance given the scenario of global change and increasing water use, especially in the agricultural sector. Determinin...
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Basma Latrech, Taoufik Hermassi, Samir Yacoubi, Adel Slatni, Fathia Jarray, Laurent Pouget and Mohamed Ali Ben Abdallah
Systematic biases in general circulation models (GCM) and regional climate models (RCM) impede their direct use in climate change impact research. Hence, the bias correction of GCM-RCMs outputs is a primary step in such studies. This study compares the p...
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Diya Wang, Yonglin Zhang, Lixin Wu, Yupeng Tai, Haibin Wang, Jun Wang, Fabrice Meriaudeau and Fan Yang
In recent years, the study of deep learning techniques for underwater acoustic channel estimation has gained widespread attention. However, existing neural network channel estimation methods often overfit to training dataset noise levels, leading to dimi...
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Mfowabo Maphosa, Wesley Doorsamy and Babu Paul
The role of academic advising has been conducted by faculty-student advisors, who often have many students to advise quickly, making the process ineffective. The selection of the incorrect qualification increases the risk of dropping out, changing qualif...
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Ivan S. Maksymov and Ganna Pogrebna
We propose a quantum-mechanical model that represents a human system of beliefs as the quantised energy levels of a physical system. This model represents a novel perspective on opinion dynamics, recreating a broad range of experimental and real-world da...
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Riccardo Della Sala, Francesco Centurelli, Giuseppe Scotti and Alessandro Trifiletti
In this paper, we present a 0.3 V body-driven operational transconductance amplifier (OTA) that exploits a biasing approach based on the use of a replica loop with gain. An auxiliary amplifier is exploited both in the current mirror load of the first sta...
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Elham Albaroudi, Taha Mansouri and Ali Alameer
The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, it is...
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