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Yan Zhang, Kefeng Li, Guangyuan Zhang, Zhenfang Zhu and Peng Wang
In computer vision technology, image segmentation is a significant technological advancement for the current problems of high-speed railroad image scene changes, low segmentation accuracy, and serious information loss. We propose a segmentation algorithm...
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Rand Askar, Luís Bragança and Helena Gervásio
A growing interest has been expressed in the issue of building adaptability over the past decade, perceiving it as an intrinsic criterion for sustainability. In light of the circular economy (CE) and its application in the construction sector, more atten...
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Derick Quintino, Jessica Campoli, Heloisa Burnquist and Paulo Ferreira
Bitcoin?s evolution has attracted the attention of investors and researchers looking for a better understanding of the efficiency of cryptocurrency markets, considering their prices and volatility. The purpose of this paper is to contribute to this under...
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Natália Costa, César Silva and Paulo Ferreira
In recent years, increasing attention has been devoted to cryptocurrencies, owing to their great development and valorization. In this study, we propose to analyse four of the major cryptocurrencies, based on their market capitalization and data availabi...
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Leah I. Stein Duker, Mollianne Grager, Willa Giffin, Natasha Hikita and José C. Polido
Dental fear and anxiety (DFA) is common across the lifespan and represents a barrier to proper oral health behaviors and outcomes. The aim of this study is to present a conceptual model of the relationships between DFA, general anxiety/fear, sensory over...
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Gilney Figueira Zebende,Andréa de Almeida Brito,Roberta Pimenta Cunha dos Santos,Aloísio Machado da Silva Filho
Neste trabalho propomos analisar empiricamente as auto-correlações em dados hora a hora de temperatura e umidade relativa do ar, isto para quatro estações meteorológicas automáticas, localizadas no Estado da Bahia. Tal estudo será realizado pelo método D...
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Sílvio Fernando Alves Xavier Júnior, Tatijana Stosic, Borko Stosic, Jader Da Silva Jale, Érika Fialho Morais Xavier (Author)
Pág. e35116
The aim of this study was to evaluate the statistical properties of a daily rainfall time series recorded in Piracicaba river basin, state of Sao Paulo, Brazil in the period 1917-2016. We apply Multifractal Detrended Fluctuation Analysis (MF-DFA) on dese...
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Luca Barletta,Flaminio Borgonovo,Ilario Filippini
Pág. 83 - 90
In this paper a new analysis is presented that allowsto investigate the asymptotic behavior of some backlog estimation procedures for Dynamic Frame Aloha (DFA) in Radio Frequency Identification (RFID) environment. Although efficiency e-1 can theoreticall...
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Xiaoling Tao, Deyan Kong, Yi Wei and Yong Wang
Data fusion is usually performed prior to classification in order to reduce the input space. These dimensionality reduction techniques help to decline the complexity of the classification model and thus improve the classification performance. The traditi...
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Jianjun Cao, Jiaming Na, Jilong Li, Guoan Tang, Xuan Fang and Liyang Xiong
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Saeid Mehdizadeh, Babak Mohammadi and Farshad Ahmadi
Potential of a classic adaptive neuro-fuzzy inference system (ANFIS) was evaluated in the current study for estimating the daily dew point temperature (Tdew). The study area consists of two stations located in Iran, namely the Rasht and Urmia. The daily ...
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Nicholas C. Clark and Jamie Pethick
Work is needed to better understand the control of knee movement and knee health. Specifically, work is needed to further understand knee muscle force control variability and complexity and how it is organized on both sides of the body. The purpose of th...
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Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi and Roohallah Alizadehsani
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform exp...
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Aftab Alam, Dimitrios Nikolopoulos and Nanping Wang
This study reports a fractal analysis of one-year radon in groundwater disturbances from five stations in China amidst the catastrophic Wenchuan (????
M
w
= 7.9) earthquake of 12 May 2008 (day 133). Five techniques are used (DFA, fractal dimensions with...
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Laith Shalalfeh and Ashraf AlShalalfeh
Prognostic techniques play a critical role in predicting upcoming faults and failures in machinery or a system by monitoring any deviation in the operation. This paper presents a novel method to analyze multidimensional sensory data and use its character...
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Dzhema Melkonyan and Sherin Sugathan
Increasing groundwater levels (GWLs) may become one of the most serious issues for the city of Odessa, Ukraine. This study investigated the spatial distribution characteristics and multifractal scaling behaviour of the groundwater-level/-depth fluctuatio...
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Gabriela Frunza, Marius-Mihai Ciobanu, Otilia Cristina Murariu, Roxana Nicoleta Ra?u, Razvan-Mihail Radu-Rusu, Cristina Simeanu and Paul-Corneliu Boi?teanu
The aim of this study was to represent quality characterization, by gender and muscle type, of rabbit meat from the Flemish Giant (FG) breed, following the fatty acid profile, sanogenic indices, and instrumental (color and texture) and sensory analysis. ...
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Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci and Roberto Baldoni
The vast majority of today?s mobile malware targets Android devices. An important task of malware analysis is the classification of malicious samples into known families. In this paper, we propose AndroDFA (DFA, detrended fluctuation analysis): an approa...
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Monica Alexiadou, Emmanouil Sofianos, Periklis Gogas and Theophilos Papadimitriou
In this study we investigate possible long-range trends in the cryptocurrency market. We employed the Hurst exponent in a sample covering the period from 1 January 2016 to 26 March 2021. We calculated the Hurst exponent in three non-overlapping consecuti...
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Ashraf AlShalalfeh and Laith Shalalfeh
In rotary machinery, bearings are susceptible to different types of mechanical faults, including ball, inner race, and outer race faults. In condition-based monitoring (CBM), several techniques have been proposed in fault diagnostics based on the vibrati...
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