Showing 581 - 600 results of 2,970 for search 'interpretative (structural OR structure) modeling', query time: 0.25s Refine Results
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    IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery by Qingquan Liao, Xuchong Liu, Wei Zhao, Yu Tong, Fangzheng Xu, Xinxin Liu, Yifan Chen

    Published 2025-06-01
    “…To address this, this study proposes an interpretable graph representation model for accurate plant RRI prediction. …”
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    Article
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    Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method by Fa Li, Qing Zhu, Kunxiaojia Yuan, Fujiang Ji, Arindam Paul, Peng Lee, Volker C. Radeloff, Min Chen

    Published 2024-10-01
    “…More importantly, the ML model showed remarkably higher interpretability relative to other ML models. …”
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    Article
  7. 587

    Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP by Khandakar Rabbi Ahmed, Md Eahia Ansari, Md. Naimul Ahsan, Arafat Rohan, Md Borhan Uddin, Mir Araf Hossain Rivin

    Published 2025-07-01
    “…The interpretability methods enabled end users to comprehend how the model makes classification decisions. …”
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    Article
  8. 588

    Analysis and interpretation of aeromagnetic data for Wadi Zeidun area, Central Eastern Desert, Egypt by Mohammad G. Al-Ibiari, Atef A.M. Ismail, Ahmed A. El-Khafeef, Alhussein A. Basheer, Ali M.M. El-laban, Yara Tarek

    Published 2018-09-01
    “…The current study is mainly concerned with the analysis and interpretation of the available aeromagnetic data using different advanced processing techniques, to map the subsurface structural framework and depth estimation of these structures of the Wadi Zeidun area, Central Eastern Desert. …”
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    Article
  9. 589

    Design of Intelligent Interpretation Network for Underwater Acoustic Communication Receiver with Multiple Signal Modulations by Lanjun LIU, Zining CHENG, Jialin CHEN, Ming LI, Honghao LIU

    Published 2025-04-01
    “…Network training and testing were conducted based on five typical time-varying channel models. The test results show that the two designed intelligent interpretation networks have significantly improved system performance compared to traditional least squares(LS) estimation + zero-forcing(ZF) equalization and LS estimation + minimum mean squared error(MMSE) channel estimation equalization methods. …”
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    User Comment-Guided Cross-Modal Attention for Interpretable Multimodal Fake News Detection by Zepu Yi, Chenxu Tang, Songfeng Lu

    Published 2025-07-01
    “…Specifically, we introduce multi-head cross-modal attention heatmaps and comment importance visualizations to provide interpretability support for the model’s predictions, revealing key semantic areas and user perspectives that influence judgments. …”
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    On the profile characteristics of technical surfaces as applied to nanoroughness by V.V. Izmailov, M.V. Novoselova

    Published 2024-12-01
    “…The experimentally obtained values of the nine most important parameters, as well as their some relationships between them, are presented, confirming the reliability of the surface profile model as a normal random process. The use of standard surface profile parameters ensures to avoid errors and misunderstandings associated with ambiguous interpretation of one or another parameter. …”
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    Ocean Crustal Seismic Layer 2C by R. L. Carlson

    Published 2018-09-01
    “…Though it has been associated with the dike sections sampled in Holes 504B and 1256D, layer 2C is often not observed; whether it is a distinguishable feature of the seismic structure is a question of importance to interpretations of the seismic structure and depends particularly on the defining characteristics of layers 2C and 3. …”
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    INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

    Published 2015-09-01
    “…We used structural geological methods for studying faults and fractures, morphostructural analysis (including interpretation of satellite images), self-potential (SP) and resistivity profiling, magnetotelluric (MT) sounding, radon emanation survey, and hydrogeological studies of water occurrences. …”
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    MolAnchor method for explaining compound predictions based on substructures by Alec Lamens, Jürgen Bajorath

    Published 2024-12-01
    “…Therefore, chemically intuitive approaches that aid in model understanding and interpretation at the molecular level of detail are sought after. …”
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