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Jae-Yeong Lee and Ji-Sung Kim
As a result of rapid urbanization and population movement, flooding in urban areas has become one of the most common types of natural disaster, causing huge losses of both life and property. To mitigate and prevent the damage caused by the recent increas...
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Turan Erman Erkan and Wael Mohamed Elsharida
Choosing airport locations requires thorough and comprehensive decisions to be made. To do so in a professional and logical manner is crucial for the social, economic, and logistic settings intended for any region. The present research takes place in Lib...
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Ackchai Sirikijpanichkul, Sarintorn Winyoopadit, Anchalee Jenpanitsub
Pág. 3736 - 3755
Selection of transit systems is one of the most complicated decisions as it concerns several decision factors and stakeholders. Governments? objectives are to maximize overall social, economic and environmental benefits including connectivity and mobilit...
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Jean-François Mas, Britaldo Soares Filho, Robert Gilmore Pontius, Michelle Farfán Gutiérrez and Hermann Rodrigues
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Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori and Antonella Petrillo
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosi...
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Isidro Cantarino, Miguel Angel Carrion, Víctor Martínez-Ibáñez and Eric Gielen
Two methods are proposed here to improve the reliability of landslide susceptibility maps in risk assessment: (1) Frequency Ratio uses clusters/regression from inventory data, instead of standard intervals and (2) Diagnostic tests improve conventional cl...
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Ping Wan, Chaozhong Wu, Yingzi Lin and Xiaofeng Ma
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Alfin Ghazali,Poltak Sihombing,Muhammad Zarlis
Pág. 1 - 13
Decision Support System Method which is often referred to as the weighted addition method, one of which is Simple Additive Weighting. But the value of the weights in this system is not officially the calculation used. Therefore, usually a number of resea...
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Lingfeng He, John Coggan, Mirko Francioni and Matthew Eyre
This paper proposes a novel method to incorporate unfavorable orientations of discontinuities into machine learning (ML) landslide prediction by using GIS-based kinematic analysis. Discontinuities, detected from photogrammetric and aerial LiDAR surveys, ...
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Christos Polykretis, Kleomenis Kalogeropoulos, Panagiotis Andreopoulos, Antigoni Faka, Andreas Tsatsaris and Christos Chalkias
The main purpose of this study is to comparatively assess the susceptibility of earthquake-triggered landslides in the island of Lefkada (Ionian Islands, Greece) using two different statistical analysis models, a bivariate model represented by frequency ...
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Christos Polykretis, Antigoni Faka and Christos Chalkias
The main purpose of this study is to explore the impact of analysis scale on the performance of a quantitative model for landslide susceptibility assessment through empirical analyses in the northern Peloponnese, Greece. A multivariate statistical model ...
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Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac...
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Zhi-Weng Chua, Yuriy Kuleshov and Jessica Bhardwaj
Most existing drought forecast systems rely only on observed or forecast rainfall, losing valuable context gained from considering both. The lack of a direct link between observed and forecast rainfall reduces the physical consistency of a system, motiva...
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Vincenzo Taormina, Donato Cascio, Leonardo Abbene and Giuseppe Raso
The search for anti-nucleus antibodies (ANA) represents a fundamental step in the diagnosis of autoimmune diseases. The test considered the gold standard for ANA research is indirect immunofluorescence (IIF). The best substrate for ANA detection is provi...
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Yuxuan Feng, Jinzhong Min, Xiaoran Zhuang and Shiqi Wang
In order to further investigate the influence of ensemble generation methods on the storm-scale ensemble forecast (SSEF) system, a new ensemble sensitivity analysis-based ensemble transform with 3D rescaling (ET_3DR_ESA) method was developed. The Weather...
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Parnian Ghasemi, Mohamad Aslani, Derrick K. Rollins and R. Christopher Williams
The dynamic modulus of hot mix asphalt (HMA) is a fundamental material property that defines the stress-strain relationship based on viscoelastic principles and is a function of HMA properties, loading rate, and temperature. Because of the large number o...
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Surasit Songma, Theera Sathuphan and Thanakorn Pamutha
This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min-max and Z-score) are...
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Sangseom Jeong, Azman Kassim, Moonhyun Hong and Nader Saadatkhah
This study was conducted to estimate the susceptibility of landslides on a test site in Malaysia (Hulu Kelang area). A Geographic Information system (GIS)-based physical model named YS-Slope, which integrates a mechanistic infinite slope stability method...
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Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
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Roberta Fusco, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria Luisa Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti and Antonella Petrillo
Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statist...
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