Category: Engineering

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  • Comparative evaluation of deep learning models for cardiovascular disease diagnosis and classification

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  • Buffering and energy-absorbing characteristics of disc spring composite monomer under impact dynamic load

  • Xie, H. P. et al. Theory and technical system of in-situ fluidized mining for deep coal resources[J]. J. China Coal Soc. 43 (05), 1210–1219 (2018).

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  • Adaptive machine learning models for predictive maintenance in industrial internet of things (IIoT) systems

  • Anandan, R., Gopalakrishnan, S., Pal, S. & Zaman, N. (eds) Industrial internet of things (IIoT): intelligent analytics for predictive maintenance (Wiley, 2022).

  • Ong, K. S. H., Wang, W., Hieu, N. Q., Niyato, D. & Friedrichs, T. Predictive…

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  • Smart wastewater management in hydro-technical systems using digital twin technology

  • Bijekar, S. et al. The state of the art and emerging trends in the wastewater treatment in developing nations. Water 14(16), 2537 (2022).

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  • A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification

  • Priya, A. & Bharathi, P. S. Se-resnext-50-cnn: A deep learning model for lung cancer classification. Appl. Soft Comput. 171, 112696 (2025).

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  • The effects of normal fault movement on the failure mechanism of water conveyance tunnels considering multi-field interaction

  • Liu, X. Z., Li, X. F., Sang, Y. L. & Lin, L. L. Experimental study on normal fault rupture propagation in loose strata and its impact on mountain tunnels. Tunnelling and Underground Space Technology 49, 417–425.

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  • An intelligent approach for early smoke/fire detection using vision sensors in smart cities

  • Shakhnoza, M., Sabina, U., Sevara, M. & Cho, Y. I. Novel video surveillance-based fire and smoke classification using attentional feature map in capsule networks. Sensors 22(1), 98. https://doi.org/10.3390/s22010098 (2021).

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  • Intelligent monitoring and anomaly detection for power service processes based on spatiotemporal attention mechanism

  • Zhang, Y., Wang, J. & Chen, X. Research on power service process optimization based on digital transformation. Energy Rep. 7, 1284–1292. https://doi.org/10.1016/j.egyr.2021.02.025 (2021).

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  • AI driven dual constraint cooptimization of affective semantics and engineering parameters for biomimetic product design

  • Yang, M., Jiang, P., Zang, T. & Liu, Y. Data-driven intelligent computational design for products: Method, techniques, and applications. J. Comput. Des. Eng. 10(4), 1561–1578 (2023).

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