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141
Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles
Published 2025-01-01“…Considerations for data structure and representation learning are presented, as well as a workflow to enhance the application of transfer learning for predicting aging in LiBs.…”
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142
A Graph-Based Method for IFC Data Merging
Published 2020-01-01“…The IFC data are represented as a graphical data structure, which completely preserves the relationship between IFC entities. …”
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143
Targeted maximum likelihood based estimation for longitudinal mediation analysis
Published 2025-01-01“…To tackle causal and statistical challenges due to the complex longitudinal data structure with time-varying confounders, competing risks, and informative censoring, there exists a general desire to combine machine learning techniques and semiparametric theory. …”
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144
Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence
Published 2025-02-01“…To improve stroke risk prediction models in terms of efficiency and interpretability, we propose to integrate modern machine learning algorithms and data dimensionality reduction methods, in particular XGBoost and optimized principal component analysis (PCA), which provide data structuring and increase processing speed, especially for large datasets. …”
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145
The Groningen Integral History Cohort Database. Development, Design and Output
Published 2022-06-01“…In the technical part of the article, we provide an extensive overview of the available variables and summarize the transformation of the rural part of the database into an Intermediate Data Structure (IDS). Since the early 1990s, historians from the University of Groningen have used GIHCD in quite some publications. …”
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146
Performance Analysis of DAG-Based Blockchain Systems Based on Markovian Arrival Process
Published 2025-01-01“…This article analyzes the performance of IOTA’s data structure Tangle based on the Markovian arrival process (MAP). …”
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147
A new method for mining event influence propagation trees from spatio-temporal data
Published 2024-12-01“…A three-layer Hashmap data structure was designed to store the spatio-temporal proximity relationship between events, virtualizing the information of event influence propagation trees without creating entities of trees. …”
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148
Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health
Published 2022-01-01“…Secondly, through the expansion and utilization of multi-layer neuron self-coding neural network, the psychological health of college students is evaluated and analyzed in the psychological discipline, the discrete data structure is established by using the relevant psychological data, the psychological behavior of college students is analyzed, summarized, and classified, and the data model is filled to judge the mental health status of college students. …”
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149
3D Seismic Structural Analysis and Basin Modeling of the Matruh Basin, Western Desert, Egypt
Published 2018-01-01“…In order to evaluate the hydrocarbon potential of the Matruh Basin, North Western Desert of Egypt, the tectonic history, basin analysis, and maturity modeling of the Albian-Cenomanian Formations of the Matruh Basin were investigated using well logs and 3D seismic data. Structural analysis of the tops of the Bahariya, Kharita, and Alamein Dolomite Formations reveals them to dip to the southeast. …”
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150
An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR
Published 2018-01-01“…Firstly, the patterns of missing traffic data are analyzed and the representation of missing traffic data is given using matrix-based data structure. Then, traffic data from urban expressway and urban arterial road are used to analyze spatial-temporal correlation of the traffic data for the determination of the proposed method input. …”
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151
Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements
Published 2025-02-01“…The data is organized following the Brain Imaging Data Structure standard format and have been validated to ensure its reliability. …”
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152
Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process
Published 2025-01-01“…Traditional time series forecasting models, such as ARIMA and LSTM, often rely on assumptions regarding data structure, limiting their flexibility to estimate volatility or account for external shocks effectively. …”
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153
Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium
Published 2018-03-01“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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154
Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium
Published 2018-03-01“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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155
Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium
Published 2018-03-01“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
Get full text
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156
Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium
Published 2018-03-01“…The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. …”
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157
High-Speed Transmission and Mass Data Storage Solutions for Large-Area and Arbitrarily Structured Fabrication through Maskless Lithography
Published 2016-01-01“…In addition, control of laser beam power, collection of status read back data of the lithography laser through an analog-to-digital converter, and synchronization of the positioning signal were implemented on the same FPGA. A data structure for each unit with a unique exposure dose and other necessary information was established. …”
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158
An Adaptive Parallel Method for Indexing Transportation Moving Objects
Published 2021-01-01“…To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the GPU. …”
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159
The Development of Microhistorical Databases in Norway. A Historiography
Published 2023-05-01“…Longitudinal data is available for searching as timelines and in Intermediate Data Structure format from UiT The Arctic University and for searching at Histreg.no, which also caters for manual editing. …”
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160
Providing a model of religious tourism based on the art of ta\'ziyeh (case study: Kashan city)
Published 2024-12-01“…In order to evaluate the validity of qualitative data, structural, external, descriptive and interpretive validity were used and in order to evaluate the reliability, the three approaches of Rao and Perry (2003) were used. …”
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