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Xing Su, Wenjie Sun, Chenting Song, Zhi Cai and Limin Guo
With the rapid development of the economy, car ownership has grown rapidly, which causes many traffic problems. In recent years, intelligent transportation systems have been used to solve various traffic problems. To achieve effective and efficient traff...
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Jialu Sui and Jian Yin
Nowadays, as the number of items is increasing and the number of items that users have access to is limited, user-item preference matrices in recommendation systems are always sparse. This leads to a data sparsity problem. The latent factor analysis (LFA...
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Yuyu Yuan, Ahmed Zahir and Jincui Yang
Recommendation systems often use side information to both alleviate problems, such as the cold start problem and data sparsity, and increase prediction accuracy. One such piece of side information, which has been widely investigated in addressing such ch...
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Andrei Salem Gonçalves,Robert Aldo Iquiapaza,Aureliano Angel Bressan
Pág. 317 - 335
We propose a single-factor mixed effects panel data model to create an arbitrage portfolio that identifies differences in firm-level latent fundamentals. Furthermore, we show that even though the characteristics that affect returns are unknown variables,...
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Ahmed Shaikh,Christo A. Bisschoff,Christoff J. Botha
Pág. 140 - 152
The article explores a model to measure managerial and leadership competence of business school educated managers by seeking to identify the latent variables in the model. Here the research uses exploratory factor analysis to identify latent variables. T...
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Budi Setyo Utomo,Syamsul Maarif,Surjono Hadi Sutjahjo,Sumardjo Sumardjo
Pág. 17
As a company engaged in the industrial sector by producing certain components and localized in an industrial area, there will be an impact on the environment. These impacts can be positive in the form of employment, reducing dependence on imported heavy ...
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Verônica de Fátima Santana,Alex Augusto Timm Rathke
Pág. 545 - 572
This research aims to compare the performance of a statistical factor asset pricing model with the Fama-French-Carhart 4-factor model. We perform a Principal Component Analysis (PCA) to extract latent risk factors using data of stocks listed on B3 from 2...
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John Campbell,Jon Heales
Despite the increasing popularity of telework, little is known about individual outcomes that arise particularly for teleworking professionals. We build on earlier research by examining the conceptual constructs of individual consequences from telework. ...
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Felipe Pinheiro,Caio Ibsen Rodrigues de Almeida,José Valentim Vicente
Pág. pp. 79 - 92
Recently, a myriad of factor models including macroeconomic variables have been proposed to analyze the yield curve. We present an alternative factor model where term structure movements are captured by Legendre polynomials mimicking the statistical fact...
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The promotion of corporate social responsibility (CSR) is important for achieving sustainability. The interest of stakeholders is one factor promoting CSR activities. Consumers are one of the major stakeholders. The aim of this study is to quantify Japan...
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J. M. Kamps,A. S. Engelbrecht
AbstractThe aim of the study was to develop and validate a theoretical model explicating the structural relationships between diversity complexity cognition, emotional intelligence and a positive attitude towards diversity in the South African business c...
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Alexey Chmutin
Pág. 44 - 52
The concept of graphic contrast and issues of digital images' contrast control are considered from the viewpoint of visual perception of graphic information. Roles of color and contrast as its carriers are compared. The priority of the second attribute i...
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Víctor M. Mendoza,Blanca Mendoza,René Garduño,Guadalupe Cordero,Marni Pazos,Sandro Cervantes,Karina E. Cervantes
Pág. 1 - 23
We present a thermodynamic model to simulate the atmospheric temperature and pressure, the regolith temperature and the polar CO2 ice caps vertical thickness and horizontal extent of Mars. This is done using the temperatures of the atmosphere and regolit...
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Santisook Limpeeticharoenchot,Nagul Cooharojananone,Thira Chanvanakul,Nuengwong Tuaycharoen,Kanokwan Atchariyachanvanich
Pág. pp. 87 - 106
A Big Data maturity model (BDMM) is one of the key tools for Big Data assessment and monitoring, and a guideline for maximizing the usage and opportunity of Big Data in organizations. The development of a BDMM for SMEs is a new concept and is challenging...
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Yejin Kim, Seulah Lee, Yeongdae Cho and Minsoo Kim
The removal process of activated sludge in sewage treatment plants is very nonlinear, and removal performance has a complex causal relationship depending on environmental factors, influent load, and operating factors. In this study, how causal relationsh...
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Soo Hyun Bae, Inkyu Choi and Nam Soo Kim
Most of the recently proposed deep learning-based speech enhancement techniques have focused on designing the neural network architectures as a black box. However, it is often beneficial to understand what kinds of hidden representations the model has le...
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Evan Alaa Nadhim, Carol K.H. Hon, Bo Xia, Ian Stewart, Dongping Fang
Pág. 110 - 129
Retrofitting works has become increasingly important in the construction industry, as it plays an effective role in providing solutions to maintain, upgrade or change the functions to the existing or aged buildings. Very often, safety issues of retrofitt...
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Evan Alaa Nadhim, Carol K.H. Hon, Bo Xia, Ian Stewart, Dongping Fang
Pág. 110 - 129
Retrofitting works has become increasingly important in the construction industry, as it plays an effective role in providing solutions to maintain, upgrade or change the functions to the existing or aged buildings. Very often, safety issues of retrofitt...
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Nyothiri Aung, Weidong Zhang, Sahraoui Dhelim and Yibo Ai
With the emergence of autonomous vehicles and internet of vehicles (IoV), future roads of smart cities will have a combination of autonomous and automated vehicles with regular vehicles that require human operators. To ensure the safety of the road commu...
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Justice J. Mason, Christine Allen-Blanchette, Nicholas Zolman, Elizabeth Davison and Naomi Ehrich Leonard
In many real-world settings, image observations of freely rotating 3D rigid bodies may be available when low-dimensional measurements are not. However, the high-dimensionality of image data precludes the use of classical estimation techniques to learn th...
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