Development of a digital twin system in a special transformer production workshop
工程科学学报, 2023 To address the weak real-time control, poor decision-making ability, nonintuitive process monitoring, and unclear operation situation problems in a special transformer production workshop, a new digital twin system architecture is discussed for the ...
Dajiang WANG +5 more
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The structure and predictors of subjective well-being among millennials in India
Cogent Psychology, 2019 This study analyzes whether the four components of subjective well-being—satisfaction with life, flourishing, positive affect, and negative affect—are independent, form a hierarchical structure, a composite structure, or a causal structure.
Damodar Suar +3 more
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Australian Journal of Psychology, 2019 Objective Personality traits influence human behaviour across a broad range of situations and are consequently relevant to many theoretical and applied disciplines.
Jeromy Anglim, Peter O’connor
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IMPROVING SEMANTIC UPDATING METHOD ON 3D CITY MODELS USING HYBRID SEMANTIC-GEOMETRIC 3D SEGMENTATION TECHNIQUE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Cities and urban areas entities such as building structures are becoming more complex as the modern human civilizations continue to evolve. The ability to plan and manage every territory especially the urban areas is very important to every government in
K.-H. Sharkawi, A. Abdul-Rahman
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A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).
PLoS ONE, 2020 An essential aspect of medical research is the prediction for a health outcome and the scientific identification of important factors. As a result, numerous methods were developed for model selections in recent years.
Chao-Yu Guo, Yu-Chin Chou
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LIETUVIŠKOSIOS NEO PI-R VERSIJOS PSICHOMETRINIAI RODIKLIAI
Psichologija, 2006 Pastaruosius du dešimtmečius asmenybės psichologiniuose tyrimuose Penkių faktorių modelis (PFM), kitaip žinomas kaip „Penketas svarbiausiųjų“, tampa dominuojančia paradigma.
Rita Žukauskienė, Rasa Barkauskienė
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Multiview Deep Autoencoder-Inspired Layerwise Error-Correcting Non-Negative Matrix Factorization
MathematicsMultiview Clustering (MVC) plays a crucial role in the holistic analysis of complex data by leveraging complementary information from multiple perspectives, a necessity in the era of big data.
Yuan Liu +3 more
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Investigating undergraduate students’ ideas about the fate of the Universe
Physical Review Physics Education Research, 2017 As astronomers further develop an understanding of the fate of the Universe, it is essential to study students’ ideas on the fate of the Universe so that instructors can communicate the field’s current status more effectively.
Mallory Conlon +3 more
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The Industry's Response and Reflections on the Youth and Student Reading Initiative [PDF]
Nongye tushu qingbao xuebaoIn May 2025, the General Office of the Ministry of Education and the General Office of the Central Publicity Department jointly issued the Notice on Further Implementing the National Youth Student Reading Initiative (hereinafter referred to as the ...
KE Ping, WU Jianhua, ZHAO Junling, YAN Beini, XIAO Peng
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Grey wolf optimizer with self-repulsion strategy for feature selection
Scientific ReportsFeature selection is one of the most critical steps in big data analysis. Accurately extracting correct features from massive data can effectively improve the accuracy of big data processing algorithms.
Yufeng Wang +5 more
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