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Mohammad Damen Bani Fawwaz, Mohammad Najafi and Vinayak Kaushal
Pipeline asset management derives from pipelines? physical conditions, condition rating, and serviceability through investigating, monitoring, and analyzing the rupture history. The remaining asset life and structural condition of the pipeline network ru...
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Stefano Alderighi, Paolo Landa, Elena Tànfani and Angela Testi
Molecular genetic techniques allow for the diagnosing of hereditary diseases and congenital abnormalities prenatally. A high variability of treatments exists, engendering an inappropriate clinical response, an inefficient use of resources, and the violat...
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Diana Sousa-Guedes, Marc Franch and Neftalí Sillero
Road networks are the main source of mortality for many species. Amphibians, which are in global decline, are the most road-killed fauna group, due to their activity patterns and preferred habitats. Many different methodologies have been applied in model...
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Justin R. Chimka and Ege Ozdemir
A linear regression model of particle pollution and an ordered logistic regression model of the relevant index were selected for observations in the US city of Los Angeles, California. Models were used to forecast Air Quality Index (AQI) from a sample, a...
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George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
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Venkataramana Veeramsetty, Srividya Srinivasula and Surender Reddy Salkuti
Non-Zero crossing point detection in a sinusoidal signal is essential in case of various power system and power electronics applications like power system protection and power converters controller design. In this paper 96 data sets are created from a di...
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Hao Liu, Yishun Li, Chenglong Liu, Guohong Shen and Hui Xiang
Pavement condition prediction plays a vital role in pavement maintenance. Many prediction models and analyses have been conducted based on long-term pavement condition data. However, the condition evaluation for road sections can hardly support daily rou...
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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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Ameer Saleh Hussein,Rihab Salah Khairy,Shaima Miqdad Mohamed Najeeb,Haider Th.Salim Alrikabi
Pág. pp. 24 - 42
The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strate...
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Zaloa Sanchez-Varela, David Boullosa-Falces, Juan Luis Larrabe Barrena and Miguel A. Gomez-Solaeche
The prediction of loss of position in the offshore industry would allow optimization of dynamic positioning drilling operations, reducing the number and severity of potential accidents. In this paper, the probability of an excursion is determined by deve...
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Evangelin Ramani Sujatha and Venkataramana Sridhar
Landslides are a common geologic hazard that disrupts the social and economic balance of the affected society. Therefore, identifying zones prone to landslides is necessary for safe living and the minimal disruption of economic activities in the event of...
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Enkeleda Lulaj
Pág. 26 - 50
The present study entitled "Quality and reflecting of financial position: an enterprises model through logistic regression and natural logarithm", determines the confirmatory effects of PRF analysis, to assess the position or condition of enterpris...
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Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto and Seán McLoone
In knowledge-based systems, besides obtaining good output prediction accuracy, it is crucial to understand the subset of input variables that have most influence on the output, with the goal of gaining deeper insight into the underlying process. These re...
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Singyala Chiphang, Ram Singh
Pág. Page:138 - 143Abstrac
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Özge Öztürk Hacar, Fatih Gülgen and Serdar Bilgi
This paper examines the relationship between pedestrian density and space syntax measures in a university campus using ordinal logistic regression analysis. The pedestrian density assumed as the dependent variable of regression analysis was categorised i...
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Daria Hollenstein, Martin Hess, Denis Jordan and Susanne Bleisch
The positive effects of active mobility on mental and physical health as well as on air quality are widely acknowledged. Increasing the share of active travel is therefore an aim in many countries. Providing bicycle-safe infrastructure is one way to prom...
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Huifang Li, Yumin Chen, Susu Deng, Meijie Chen, Tao Fang and Huangyuan Tan
Logistic regression methods have been widely used for landslide research. However, previous studies have seldom paid attention to the frequent occurrence of spatial autocorrelated residuals in regression models, which indicate a model misspecification pr...
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Kwasi Adjepong Darkwah, Ezekiel Nii Noye Nortey, Abeku Atta Asare-Kumi, Kwabena Asare
Pág. Page:1 - 9Abstract
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Suhas M.V,Swathi B.P
In an attempt to develop a system to classify the wild animals using image processing and classification techniques, we study the usage of Haralick textural features are used in wild animal classification which is a computer aided pattern recognition sys...
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Kai Huang, Zhiyuan Liu, Ting Zhu, Inhi Kim, Kun An
Boisjoly, G., Wasfi, R., & El-Geneidy, A. (2018). How much is enough? Assessing the influence of neighborhood walkability on undertaking 10-minutes walks. Journal of Transport and Land Use, 11(1), 143?151.
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