Showing 181 - 200 results of 7,085 for search 'more function (generated OR (generated OR general))', query time: 0.22s Refine Results
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    LatentPINNs: Generative physics-informed neural networks via a latent representation learning by Mohammad H. Taufik, Tariq Alkhalifah

    Published 2025-06-01
    “…Motivated by the recent progress on generative models, we promote using latent diffusion models to learn compressed latent representations of the distribution of PDE parameters as they act as input parameters for NN functional solutions. …”
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    Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model by Liwei Zhang, Lisang Liu, Wenwei Chen, Zhihui Lin, Dongwei He, Jian Chen

    Published 2025-06-01
    “…Accurate forecasting of photovoltaic (PV) power generation is crucial for optimizing grid operation and ensuring a reliable power supply. …”
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    Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators by Kartikeya Walia, William Navaraj, Philip Breedon

    Published 2025-07-01
    “…Future work will extend this design to higher payload systems using metal components, enhancing durability and functionality for industrial applications.…”
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    High‐Performance MXene Hydrogel for Self‐Propelled Marangoni Swimmers and Water‐Enabled Electricity Generator by Jiayi Zhou, Yan Zhang, Ming Zhang, Dongye Yang, Wenwei Huang, Ao Zheng, Lingyan Cao

    Published 2025-01-01
    “…Abstract Developing multifunctional materials that integrate self‐propulsion and self‐power generation is a significant challenge. This study introduces a high‐performance MXene‐chitosan composite hydrogel (CM) that successfully combines these functionalities. …”
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    Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

    Published 2025-01-01
    “…Our method introduces two key innovations for enhanced feature attribution: 1) dual Gram matrix-based loss functions (G1 and G2), which operate at different stages of the generation process to capture richer style information by establishing deeper correlations between feature maps, and 2) a balanced training objective that integrates perceptual loss with cycle-consistency loss to maintain content fidelity during style transfer. …”
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    Crystal Composition Transformer: Self‐Learning Neural Language Model for Generative and Tinkering Design of Materials by Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Rongzhi Dong, Nihang Fu, Edirisuriya M. D. Siriwardane, Fanglin Chen, Jianjun Hu

    Published 2024-09-01
    “…These models have demonstrated superior performance in the generation, structure classification, and functional predictions for proteins and molecules with learned representations. …”
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  14. 194

    Energy spectra of odd nuclei in the generalized model by I. O. Korzh, A. D. Foursat

    Published 2015-04-01
    “…Based on the generalized nuclear model, energy spectra of the odd nuclei of such elements as 25Mg, 41K, and 65Cu are determined, and the structure of wave functions of these nuclei in the excited and normal states is studied. …”
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