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  • High- and low-fidelity modal and mechanical analysis of architected strut-based lattice structures with auxetic topologies

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  • Uncertainty propagation in financial models of photovoltaic systems

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  • Tailoring combined impact loading using gradient foam composite projectiles with variable fragment shapes

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  • A lattice-integrated AES framework for ultra-secure biometric protection on resource-constrained edge devices

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  • Explainable attention based few shot LSTM for intrusion detection in imbalanced cyber physical system networks

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  • Experimental investigation and optimization of mechanical and tribological performances of bio-based sustainable hybrid composites incorporating Nano-SiO₂ fillers

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  • Eleutério, T., Trota, M. J., Meirelles, M. G. & Vasconcelos, H. C. A review of natural fibres: Classification, Composition,…

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  • Minimizing energy consumption and providing improved thermal comfort for buildings by incorporating false ceiling and mechanical ventilation

  • Yi, L. et al. Optimal scheduling of intelligent Building with photovoltaic energy storage system using competitive mechanism integrated Multi-objective equilibrium optimizer algorithm. Arab. J. Sci. Eng. 47, 14641–14655.

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  • Deep learning approach for hybrid beamforming design in MU-MISO mmWave systems

  • Ananta, R. et al. Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction. Scientific Reports 15, https://doi.org/10.1038/s41598-025-13514-1 (2025).

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  • Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling

  • Zhang, X., Shi, B., Feng, B., Liu, L. & Gao, Z. A hybrid method for cutting tool RUL prediction based on CNN and multistage wiener process using small sample data. Measurement 213, 112739 (2023).

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