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Rafal Michalski and Szymon Zaleski
Although there have been some studies on the success factors for IT software projects, there is still a lack of coherent research on the success factors for IT service projects. Therefore, this study aimed to identify and understand the factors and their...
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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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Melissa Kadi, Stéphanie Bourion-Bédès, Michael Bisch and Cédric Baumann
Recovery from substance use disorder requires access to effective coping resources. The most widely self-reported questionnaire used to assess coping responses is the Brief COPE; however, different factorial structures were found in a variety of samples....
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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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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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Nguyen Van Tam, Tsunemi Watanabe and Nguyen Luong Hai
Work autonomy (WA) is an important factor in improving work performance, yet such freedom and its role in construction workforce management have rarely been discussed. To address this gap, this study quantitatively measured the WA of onsite construction ...
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Yuxuan Xu, Jie Lyu, Ying Xue and Hongbin Liu
Maintaining stable linkages between farmers and APS service providers is conducive to cutting transaction costs, increasing service organizations? willingness to invest in the long term and motivation to innovate on their own, improving agricultural prod...
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Jianfei Li, Yongbin Wang and Zhulin Tao
In recent years, graph neural networks (GNNS) have been demonstrated to be a powerful way to learn graph data. The existing recommender systems based on the implicit factor models mainly use the interactive information between users and items for trainin...
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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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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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