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  1. 161

    Bridging the digital divide for Generation X and Boomers in the Western Balkan region through smart cities by Oliana SULA

    Published 2025-05-01
    “…The population in the region is getting older, Generation X and Boomers are expected to stay longer in the labor market and they will need more digitalized services, especially in terms of health e, e-services, and mobility. …”
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    Article
  2. 162

    Adult limbal neurosphere cells: a potential autologous cell resource for retinal cell generation. by Xiaoli Chen, Heather Thomson, Jessica Cooke, Jennifer Scott, Parwez Hossain, Andrew Lotery

    Published 2014-01-01
    “…Neural colonies (neurospheres) can be generated from adult corneal limbus in vitro. We have previously shown that these neurospheres originate from neural crest stem/progenitor cells and that they can differentiate into functional neurons in vitro. …”
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  3. 163

    Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices by Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

    Published 2025-07-01
    “…The results of the conducted analysis serve as a guide for selecting the type of generator that is more suited for a specific IoT solution, depending on the functional profile of the target application and the amount of random data required in the cryptographic process. …”
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  4. 164
  5. 165

    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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  6. 166
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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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  8. 168
  9. 169

    Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators by Kartikeya Walia, William Navaraj, Philip Breedon

    Published 2025-07-01
    “…To address these challenges, we propose a pure rolling spherical parallel manipulator (SPM) that incorporates generative design for weight optimization, reducing overall mass while preserving structural integrity and manipulability. …”
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  10. 170
  11. 171

    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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  12. 172
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  14. 174

    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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  15. 175
  16. 176

    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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