Results 251 to 260 of about 42,084,791 (333)

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

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Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability

Structural Health Monitoring, 2023
Central to structural health monitoring (SHM) is data modeling, manipulation, and interpretation on the basis of a sophisticated SHM system. Despite continuous evolution of SHM technology, the precise modeling and forecasting of SHM measurements under ...
Qi‐Ang Wang, Yang Dai, Zhan-guo Ma, Jun-fang Wang, Jianfu Lin, Y. Ni, W. Ren, Jian Jiang, Xuan Yang, Jia-Ru Yan   +9 more
semanticscholar   +1 more source

Data Modelling

2022
REsolution has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 101034439. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA.
Garofoli, Andrea, Stanton, Robert, Goldmann, Ulrich   +2 more
openaire   +1 more source

Bridge condition rating data modeling using deep learning algorithm

Structure and Infrastructure Engineering, 2020
This paper presents a deep learning-based bridge condition rating data modeling approach using selected data from the National Bridge Inventory (NBI) database. The objective of this research is to develop a data-driven approach that enables prediction of
Heng Liu, Yunfeng Zhang
semanticscholar   +1 more source

Data Modeling

Mastering MySQL for the Web, 2022
Sufyan bin Uzayr
openaire   +2 more sources

Modeling Relational Data with Graph Convolutional Networks

Extended Semantic Web Conference, 2017
Knowledge graphs enable a wide variety of applications, including question answering and information retrieval. Despite the great effort invested in their creation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata) remain incomplete.
M. Schlichtkrull, Thomas Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, M. Welling   +5 more
semanticscholar   +1 more source

Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application

IEEE Transactions on Control Systems Technology, 2019
Dynamic and uncertainty are two main features of the industrial process data which should be paid attention when carrying out process data modeling and analytics.
Zhiqiang Ge, Xinru Chen
semanticscholar   +1 more source

Robust Broad Learning System for Uncertain Data Modeling

IEEE International Conference on Systems, Man and Cybernetics, 2018
Broad Learning System (BLS) has achieved good performance in classification and regression problems, and the computational efficiency is especially outstanding.
Junwei Jin, C. L. P. Chen, Yanting Li
semanticscholar   +1 more source

Structural Equation Modeling

Encyclopedia of Personality and Individual Differences, 2019
The chapters demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources.
C. Singh, J. S. Khamba
semanticscholar   +1 more source

Genomic data modeling

Information Systems, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Jake Yue, Carlis, John V.
openaire   +2 more sources