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  • Position tracking control of electro-hydrostatic actuators via adaptive finite-time backstepping and state observation

  • Phan, V. D., Truong, H. V. A., Le, V. C., Ho, S. P. & Ahn, K. K. Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints. Sci. Rep. 15(1), 3044 (2025).

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  • A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering

  • Tortora, A. M. R., Di Pasquale, V., Franciosi, C., Miranda, S. & Iannone, R. The role of maintenance operator in industrial manufacturing systems: Research topics and trends. Appl. Sci. (Basel) 11(7), 3193. https://doi.org/10.3390/app11073193…

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  • A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation

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  • Q-CaDD: accelerating in silico methodologies with quantum computation and machine learning for Epidermal growth factor receptor

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  • Broadband low-frequency sound absorption and high insulation in a clay-cement composite with hydrogel-foaming engineered gradient porosity

  • Zhou, Y. et al. Modulation of pore structure in fly ash-based porous ceramics via sodium dihydrogen phosphate and its hydrophobic modification. Ceram. Int. 51, 44354–44363 (2025).

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  • The most important features in generalized additive models might be groups of features

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  • Lou, Y., Caruana, R., Gehrke, J. & Hooker, G. Accurate intelligible models with pairwise interactions. In Proceedings…

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  • Evolution of tripartite entanglement in three-qubit quantum gravity-induced entanglement of masses (QGEM) with quantum decoherence

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