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  1. 25581

    Basic and applied uses of genome‐scale metabolic network reconstructions of Escherichia coli by Douglas McCloskey, Bernhard Ø Palsson, Adam M Feist

    Published 2013-04-01
    “…Future challenges include the expansion of GEMs by integrating additional cellular processes beyond metabolism, the identification of key constraints based on emerging data types, and the development of computational methods able to handle such large‐scale network models with sufficient accuracy.…”
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  2. 25582

    Research on intelligence fusion: a holistic analysis of open-source intelligence fusion from the perspective of confrontation by YUAN Weilin, ZHAO Weiwei, HU Zhenzhen, CAO Wei, HE Jun, DONG Shaojin, WANG Chengyuan, WANG Shengqing

    Published 2024-09-01
    “…In the digital society of "open sharing of information and interconnection of everything", the information traces characterized with "massive, multi-source and explosive growth" in the internet provide rich "mineral deposits" for open-source intelligence collecting. Intelligence processing enabled by advanced artificial intelligence technologies, such as natural language processing and computer vision, greatly improves the efficiency of intelligence production and is widely used in the field of security. …”
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  3. 25583

    Public discourses and personal narratives of learning from disaster by Mario A. Soriano, Patrick Jaojoco, Braeden Carroll, Reed Maxwell, Allison Carruth

    Published 2025-02-01
    “…Whether and how these public discourses percolate to everyday, on-the-ground learning processes and approaches to future typhoons has been much less studied. …”
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  4. 25584

    Measuring. Monitoring. Management. Control by E.A. Pecherskaya, O.V. Karpanin, D.E. Nelyutskovа, A.M. Metalnikov, U.S. Chikhrina

    Published 2024-12-01
    “…The structure of an automated information and measurement system is presented, which contains a measuring unit and a computer that controls measurements and automated processing of measurement results in order to determine the electrophysical parameters of the structures under study according to the measured volt-ampere characteristic.…”
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  5. 25585
  6. 25586
  7. 25587
  8. 25588
  9. 25589
  10. 25590
  11. 25591

    Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

    Published 2025-05-01
    “…While deep learning has advanced in this field, it still faces challenges, such as limited or poor-quality data. In areas like computer vision, data augmentation has been widely used and highly effective in addressing similar issues. …”
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  12. 25592
  13. 25593

    Harnessing Artificial Intelligence for Wildlife Conservation by Paul Fergus, Carl Chalmers, Steven Longmore, Serge Wich

    Published 2024-11-01
    “…The platform processes these data with convolutional neural networks (CNNs) and transformer architectures to monitor species, including those that are critically endangered. …”
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  14. 25594

    Follow That Tune – Adaptive Approach to DTW-based Query-by-Humming System by Bartłomiej STASIAK

    Published 2015-01-01
    “…Its application in the context of Query-by-Humming interface to multimedia databases requires providing of independence transposition, which involves some additional, sometimes computationally expensive processing and may not guarantee the success, e.g., in the presence of a pitch trend or accidental key changes. …”
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  15. 25595

    Revisiting the Influence of Neutron Transfer Coupling on Surface Diffuseness Parameters for Carbon-Induced Fusion Reactions by Rakesh Dubey

    Published 2025-04-01
    “…Through analysis of experimental measurements using advanced coupled-channel computational frameworks, we have examined how neutron exchange processes modify nuclear interaction potentials with a particular focus on surface diffuseness parameters. …”
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  16. 25596

    Locally Linear Discriminate Embedding for Face Recognition by Eimad E. Abusham, E. K. Wong

    Published 2009-01-01
    “…LLDE preserves a local linear structure of a high-dimensional space and obtains a compact data representation as accurately as possible in embedding space (low dimensional) before recognition. For computational simplicity and fast processing, Radial Basis Function (RBF) classifier is integrated with the LLDE. …”
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  17. 25597
  18. 25598

    Two-dimensional analysis of plasma-derived extracellular vesicles to determine the HER2 status in breast cancer patients by Alexis Wilhelm, Charlotte Flynn, Evelyn Hammer, Johannes Roessler, Bernhard Haller, Rudolf Napieralski, Moritz Leuthner, Sanja Tosheska, Kèvin Knoops, Anjusha Mathew, Giuliano Ciarimboli, Jan Kranich, Lavinia Flaskamp, Siobhan King, Heidrun Gevensleben, Quirin Emslander, Anna Pastucha, Mathias Reisbeck, Lukas Rief, Holger Bronger, Tobias Dreyer, Andreas R. Bausch, Andreas Pichlmair, Thomas Brocker, Reinhard Zeidler, Wolfgang Hammerschmidt, Melanie Piedavent-Salomom, Carmen López-Iglesias, Gabrielle Schricker, Oliver Haydn, Marion Kiechle, Sabine Grill, Ron Heeren, Percy A. Knolle, Olaf Wilhelm, Bastian Höchst

    Published 2025-06-01
    “…In this study, we present a method for identifying and analysing cancer-derived EVs from plasma for the detection of HER2 expression in breast cancer without the need for additional processing steps. We detected nano-sized particles through an optimised flow cytometry approach that allows for the identification of HER2-expressing EVs and quantification of their HER2 expression levels. …”
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  19. 25599

    On the treatment of measurement uncertainty in stochastic modeling of basic variables by Stefan Küttenbaum, Stefan Maack, Alexander Taffe, Thomas Braml

    Published 2022-08-01
    “…The acquisition and appropriate processing of relevant information about the considered system remains a major challenge in assessment of existing structures. …”
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  20. 25600

    SP-Pillars: An Efficient LiDAR 3D Objects Detection Framework With Multi-Scale Feature Perception and Optimization by Tingshuai Chen, Ye Yuan, Bingyang Yin, Yuanhong Liao

    Published 2025-01-01
    “…However, the data volume of radar point clouds is enormous, and processing efficiency becomes a limiting factor, so the balance between speed and accuracy is crucial. …”
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