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Marcelo V. Flamarion and Efim Pelinovsky
This study investigates the numerical evolution of an initially internal random wave field characterized by a Gaussian spectrum shape using the Benjamin?Ono (BO) equation. The research focuses on analyzing various properties associated with the random wa...
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Elias Gravanis and Lysandros Pantelidis
This work intends to embed the estimation of the joint roughness coefficient (JRC) in the framework of random fields. The random field method is a probabilistic approach which involves modeling of the spatial variability of the pertinent physical quantit...
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Sumarsih C. Purbarani, Hadaiq R. Sanabila, Ari Wibisono, Noverina Alfiany, Hanif A. Wisesa and Wisnu Jatmiko
Traffic prediction techniques are classified as having parametric, non-parametric, and a combination of parametric and non-parametric characteristics. The extreme learning machine (ELM) is a non-parametric technique that is commonly used to enhance traff...
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Laurens Bogaardt, Romulo Goncalves, Raul Zurita-Milla and Emma Izquierdo-Verdiguier
The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal da...
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In a real interactive service system, a smart meter can only read the total amount of energy consumption rather than analyze the internal load components for users. Nonintrusive load monitoring (NILM), as a vital part of smart power utilization technique...
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Wei Zhao, Yi Fu, Xiaosong Wei and Hai Wang
This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different p...
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Junli Yang, Zhiguo Jiang, Shuang Hao and Haopeng Zhang
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John Dolloff and Peter Doucette
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Birhan Hailu Getaneh,Birchiko Achamyeleh,Gebeyehu Belay
Pág. 23 - 30
This paper introduces Amharic text chunker using conditional random fields. To get the optimal feature set of the chunker; the researchers? conduct different experiments using different scenarios until a promising result obtained. In this study different...
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Jih-Jeng Huang and Chin-Yi Chen
The Analytic Hierarchy Process (AHP) has been a widely used multi-criteria decision-making (MCDM) method since the 1980s because of its simplicity and rationality. However, the conventional AHP assumes criteria independence, which is not always accurate ...
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Frédéric Leroux, Mickaël Germain, Étienne Clabaut, Yacine Bouroubi and Tony St-Pierre
Digital twins are increasingly gaining popularity as a method for simulating intricate natural and urban environments, with the precise segmentation of 3D objects playing an important role. This study focuses on developing a methodology for extracting bu...
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Thirumahal Muthukrishnan, Anesh Govender, Sergey Dobretsov and Raeid M.M. Abed
The common practice of counting bacteria using epifluorescence microscopy involves selecting 5?30 random fields of view on a glass slide to calculate the arithmetic mean which is then used to estimate the total bacterial abundance. However, not much is k...
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Thirumahal Muthukrishnan, Anesh Govender, Sergey Dobretsov and Raeid M.M. Abed
The common practice of counting bacteria using epifluorescence microscopy involves selecting 5?30 random fields of view on a glass slide to calculate the arithmetic mean which is then used to estimate the total bacterial abundance. However, not much is k...
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Kun Zhang, Jianyao Yao, Wenxiang Zhu, Zhifu Cao, Teng Li and Jianqiang Xin
The thermal protection system (TPS) represents one of the most critical subsystems for vehicle re-entry. However, due to uncertainties in thermal loads, material properties, and manufacturing deviations, the thermal response of the TPS exhibits significa...
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Adam Hamrouni, Daniel Dias and Xiangfeng Guo
Spatial variability is unavoidable for soils and it is important to consider such a feature in the design of geotechnical engineering as it may lead to some structure behaviors which cannot be predicted by a calculation assuming homogenous soils. This pa...
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Wouter B. Verschoof-van der Vaart, Karsten Lambers, Wojtek Kowalczyk and Quentin P.J. Bourgeois
This paper presents WODAN2.0, a workflow using Deep Learning for the automated detection of multiple archaeological object classes in LiDAR data from the Netherlands. WODAN2.0 is developed to rapidly and systematically map archaeology in large and comple...
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Jianhua Wu, Jiaqi Xiong, Yu Zhao and Xiang Hu
Extracting the residential areas from digital raster maps is beneficial for research on land use change analysis and land quality assessment. In traditional methods for extracting residential areas in raster maps, parameters must be set manually; these m...
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Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma, Raihan Rafif, Siti Saringatin and Pramaditya Wicaksono
The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked seamless integration for multi-sensor and multi-temporal analysis, which is useful for the identification of land-cover classes based on their temporal characteris...
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OLEG O. RIBAK
A dynamic-stochastic model based on random forcing of Adem thermodynamic climate model is considered. The way of including simplified atmospheric water budget is proposed. Computed fields of standard deviations of ocean mixed layer monthly temperature...
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Elie Azeraf, Emmanuel Monfrini and Wojciech Pieczynski
Practitioners have used hidden Markov models (HMMs) in different problems for about sixty years. Moreover, conditional random fields (CRFs) are an alternative to HMMs and appear in the literature as different and somewhat concurrent models. We propose tw...
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