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S. MONTECINOS
The goal of this article is to show simple, analytical solutions of the general dispersion equation for an homogeneous plane source, parallel to the surface of the earth. At a first step, we construct a one-dimensional model, where a perfe...
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Wilfried Wöber, Lars Mehnen, Manuel Curto, Papius Dias Tibihika, Genanaw Tesfaye and Harald Meimberg
The biological investigation of a population?s shape diversity using digital images is typically reliant on geometrical morphometrics, which is an approach based on user-defined landmarks. In contrast to this traditional approach, the progress in deep le...
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Cosmin Darab, Turcu Antoniu, Horia Gheorghe Beleiu, Sorin Pavel, Iulian Birou, Dan Doru Micu, Stefan Ungureanu and Stefan Dragos Cirstea
Short-term electricity load forecasting has attracted considerable attention as a result of the crucial role that it plays in power systems and electricity markets. This paper presents a novel hybrid forecasting method that combines an autoregressive mod...
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Hisham ElMoaqet, Jungyoon Kim, Dawn Tilbury, Satya Krishna Ramachandran, Mutaz Ryalat and Chao-Hsien Chu
Sleep apnea is a common sleep-related disorder that significantly affects the population. It is characterized by repeated breathing interruption during sleep. Such events can induce hypoxia, which is a risk factor for multiple cardiovascular and cerebrov...
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Martin Jänicke, Bernhard Sick and Sven Tomforde
Personal wearables such as smartphones or smartwatches are increasingly utilized in everyday life. Frequently, activity recognition is performed on these devices to estimate the current user status and trigger automated actions according to the user?s ne...
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Caleb Iddissah Yakubu, Vagner Gonçalves Ferreira and Cosmas Yaw Asante
The selection of a global geopotential model (GGM) for modeling the long-wavelength for geoid computation is imperative not only because of the plethora of GGMs available but more importantly because it influences the accuracy of a geoid model. In this s...
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Caleb Iddissah Yakubu, Vagner Gonçalves Ferreira and Cosmas Yaw Asante
The selection of a global geopotential model (GGM) for modeling the long-wavelength for geoid computation is imperative not only because of the plethora of GGMs available but more importantly because it influences the accuracy of a geoid model. In this s...
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Luca Scrucca
Imbalanced data present a pervasive challenge in many real-world applications of statistical and machine learning, where the instances of one class significantly outnumber those of the other. This paper examines the impact of class imbalance on the perfo...
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Ivan Benemerito, Erica Montefiori, Alberto Marzo and Claudia Mazzà
Musculoskeletal models (MSKMs) are used to estimate the muscle and joint forces involved in human locomotion, often associated with the onset of degenerative musculoskeletal pathologies (e.g., osteoarthritis). Subject-specific MSKMs offer more accurate p...
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Piotr Sliwka and Leslaw Socha
The proposed new methods of modelling and forecasting mortality rates are used, among others, to estimate life expectancy depending on the type of death as a fundamental life insurance factor.
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Thi Huong An Nguyen, Anne Ruiz-Gazen, Christine Thomas-Agnan and Thibault Laurent
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Md Ashraful Alam, Craig Farnham and Kazuo Emura
In this study, Gaussian/normal distributions (N) and mixtures of two normal (N2), three normal (N3), four normal (N4), or five normal (N5) distributions were applied to data with extreme values for precipitation for 35 weather stations in Bangladesh. For...
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Md Ashraful Alam, Craig Farnham and Kazuo Emura
In this study, Gaussian/normal distributions (N) and mixtures of two normal (N2), three normal (N3), four normal (N4), or five normal (N5) distributions were applied to data with extreme values for precipitation for 35 weather stations in Bangladesh. For...
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Yongning Wang and Ruey S. Tsay
s-
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Denise M. Grzegozewski, Miguel A. Uribe-Opazo, Fernanda De Bastiani, Manuel Galea
Pág. 523 - 535
Outliers can adversely affect how data fit into a model. Obviously, an analysis of dependent data is different from that of independent data. In the latter, i.e., in cases involving spatial data, local outliers can differ from the data in the neighborhoo...
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Taghreed Alghamdi, Khalid Elgazzar and Taysseer Sharaf
Hierarchical Bayesian models (HBM) are powerful tools that can be used for spatiotemporal analysis. The hierarchy feature associated with Bayesian modeling enhances the accuracy and precision of spatiotemporal predictions. This paper leverages the hierar...
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Francesca Paradiso, Federica Paganelli, Dino Giuli and Samuele Capobianco
In this paper, we address the problem of energy conservation and optimization in residential environments by providing users with useful information to solicit a change in consumption behavior. Taking care to highly limit the costs of installation and ma...
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Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo and Francesco Camastra
A time series is a sequence of time-ordered data, and it is generally used to describe how a phenomenon evolves over time. Time series forecasting, estimating future values of time series, allows the implementation of decision-making strategies. Deep lea...
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Myung Hwan Na, Wanhyun Cho, Sora Kang and Inseop Na
Measuring weight during cattle growth is essential for determining their status and adjusting the feed amount. Cattle must be weighed on a scale, which is laborious and stressful and could hinder growth. Therefore, automatically predicting cattle weight ...
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Hatice Erkekoglu,Aweng Peter Majok Garang,Adire Simon Deng
Pág. 268 - 281
Symmetric and asymmetric GARCH models-GARCH (1,1); PARCH(1;1); EGARCH(1,1,); TARCH(1,1) and IGARCH(1,1)- were used to examine stylized facts of daily USD/UGX return series from September 1st, 2005 to August 30th, 2018. Modeling and forecasting were perfo...
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