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Alexander A. Lobashev, Nikita A. Turko, Konstantin V. Ushakov, Maxim N. Kaurkin and Rashit A. Ibrayev
This paper presents a new method for finding the optimal positions for sensors used to reconstruct geophysical fields from sparse measurements. The method is composed of two stages. In the first stage, we estimate the spatial variability of the physical ...
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Jiaqi Li, Jiali You and Haojiang Deng
Information-centric networking (ICN) is an emerging network architecture that has the potential to address low-transmission latency and high-reliability requirements in the fifth generation and beyond communication networks (5G/B5G). In the ICN architect...
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Christos P. Kitsos and Thomas L. Toulias
We introduce a three-parameter generalized normal distribution, which belongs to the Kotz type distribution family, to study the generalized entropy type measures of information. For this generalized normal, the Kullback-Leibler information is evaluated,...
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Sideris Kiratsoudis and Vassilis Tsiantos
Personnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Dec...
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(1) Nazli Mohd Khairudin (Universiti Putra Malaysia, Malaysia) (2) Norwati Mustapha (Universiti Putra Malaysia, Malaysia) (3) Teh Noranis Mohd Aris (Universiti Putra Malaysia, Malaysia) (4) Maslina Zolkepli (Universiti Putra Malaysia, Malaysia)
Pág. 1 - 12
The advancement of machine learning model has widely been adopted to provide flood forecast. However, the model must deal with the challenges to determine the most important features to be used in in flood forecast with high-dimensional non-linear time s...
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Patricio Pacheco, Eduardo Mera and Gustavo Navarro
A study was carried out in Santiago de Chile, located in a geographic basin, on the sustainability and diffusion of the recent SARS-CoV-2 pandemic. Hourly measurements were used (carried out for 3.25 years in seven communes of the city) to quantify the a...
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Patricio Pacheco, Eduardo Mera and Gustavo Navarro
A study was carried out in Santiago de Chile, located in a geographic basin, on the sustainability and diffusion of the recent SARS-CoV-2 pandemic. Hourly measurements were used (carried out for 3.25 years in seven communes of the city) to quantify the a...
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Hossein Hassani, Kujtim Avdiu, Stephan Unger and Maedeh Taj Mazinani
In this paper, we take a city?s budget, which represents the resources that need to be allocated, and test how many blockchain users need to join a voting process of how the city?s resources should be allocated in order to best represent their preference...
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Fabrício Lopes Macedo, Carla Ragonezi, Fábio Reis, José G. R. de Freitas, David Horta Lopes, António Miguel Franquinho Aguiar, Délia Cravo and Miguel A. A. Pinheiro de Carvalho
Drosophila suzukii is one of the main pests that attack soft-skinned fruits and cause significant economic damage worldwide. Madeira Island (Portugal) is already affected by this pest. The present work aimed to investigate the potential distribution of D...
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Patricio Pacheco and Eduardo Mera
This work analyzes the evolution of an urban thermal environment using measurements, in the form of time series, of atmospheric pollutants (PM10, PM2.5, CO) and meteorological variables (temperature (T), relative humidity (RH) and magnitude of wind speed...
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Vishnupriya Jonnalagadda, Ji Yun Lee, Jie Zhao and Seyed Hooman Ghasemi
The nation?s transportation systems are complex and are some of the highest valued and largest public assets in the United States. As a result of repeated natural hazards and their significant impact on transportation functionality and the socioeconomic ...
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Jones Luís Schaefer, Paulo Roberto Tardio, Ismael Cristofer Baierle and Elpidio Oscar Benitez Nara
The adoption of models based on key performance indicators to diagnose and evaluate the competitiveness of companies has been presented as a trend in the operations? management. These models are structured with different variables in complex interrelatio...
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Fengjuan Dong, Zeyong Sun, Zhanwu Gao, Xuefei Lu, Yue Chen, Hai Huang and Dazhong Ren
Nanoscale pore-throat systems are widely developed in the pore-throat of tight reservoirs. The pore-throat structures of different microscales are complex and diverse with obvious microscale effects. Taking the Chang 63 tight sandstone reservoir of the H...
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Ron Mittelhammer, George Judge and Miguel Henry
In this paper, we introduce a flexible and widely applicable nonparametric entropy-based testing procedure that can be used to assess the validity of simple hypotheses about a specific parametric population distribution. The testing methodology relies on...
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Mingming Zhang, Pan Kong, Anping Hou, Aiguo Xia, Wei Tuo and Yongzhao Lv
In order to effectively identify the signs of instability in the aerodynamic system of an axial compressor, a wavelet singular spectral entropy algorithm incorporated within the wavelet transform, singular value decomposition and information entropy is p...
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Ziyi Liu, Xinyao Ma, Lihui Hu, Shan Lu, Xiaomin Ye, Shuhang You, Zhe Tan and Xin Li
Urban street space is a critical reflection of a city?s vitality and image and a critical component of urban planning. While visual perceptual information about an urban street space can reflect the composition of place elements and spatial relationships...
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Shangmin Zhao, Jiao Liu, Weiming Cheng and Chenghu Zhou
Multi-source data fusion can help to weaken the original data?s shortcomings while improving data accuracy. The experimental area in this research is Taiyuan City in Shanxi Province, China. Using SRTM1 DEM, ASTER GDEM V3, and AW3D30 DEM, the optimal reso...
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Hui Gu, Hongxia Zhu and Xiaobo Cui
An energy efficiency monitoring method of the steam turbine system is studied in this paper. Multivariate state estimation technique (MSET) is utilized to compare the actual monitoring parameters and the healthy data of the equipment in normal working co...
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Xia Que, Siyuan Jiang, Jiaoyun Yang and Ning An
Many mixed datasets with both numerical and categorical attributes have been collected in various fields, including medicine, biology, etc. Designing appropriate similarity measurements plays an important role in clustering these datasets. Many tradition...
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Xujian Zhao and Wei Li
Owing to rapid development of the Internet and the rise of the big data era, microblog has become the main means for people to spread and obtain information. If people can accurately predict the development trend of a microblog event, it will be of great...
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