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  • Based on binary evolution operator-enhanced black-kite algorithm with natural replacement for engineering numerical optimization problems

  • Wang, J., Wang, W. C., Hu, X. X., Qiu, L. & Zang, H. F. Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems. Artif. Intell. Rev. 57(4), 98 (2024).

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  • YOLC with dynamic sparse attention for high-speed small target detection in wearable sports images

  • Dunnhofer, M. et al. Visual object tracking in first person vision. Int. J. Comput. Vision 131(1), 259–283 (2023).

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  • Mirzaei, B. et al. Small object detection and tracking: a comprehensive…

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  • Smart, automated junctional tourniquets leveraging AI-driven ultrasound guidance

  • Jones, A. R., Miller, J. & Brown, M. Epidemiology of trauma-related hemorrhage and time to definitive care across North America: making the case for bleeding control education. Prehospital Disaster Med. 38(6), 780–783 (2023).

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  • Towards intelligent edge computing through reinforcement learning based offloading in public edge as a service

  • Raza, S., et al. “An efficient task offloading scheme in vehicular edge computing,” Journal of Cloud Computing, 9, (2020).

  • Ullah, S. A., et al. “From nodes to roads: Surveying drl applications in mec-enhanced terrestrial wireless…

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  • The investigation of initial endotracheal tube cuff pressures in the operating room: a multi-center cross-sectional study in China

  • Maertens, B. et al. Effectiveness of continuous cuff pressure control in preventing Ventilator-Associated pneumonia: A systematic review and Meta-Analysis of randomized controlled Trials*. Crit. Care Med. 50, 1430–1439.

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  • Federated learning for heterogeneous electronic health record systems with cost effective participant selection

  • Dash, S., Shakyawar, S. K., Sharma, M. & Kaushik, S. Big data in healthcare: Management, analysis and future prospects. J. Big Data 6, 1–25 (2019).

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  • Hur, K. et al. Genhpf: General healthcare…

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  • AI-driven framework for accurate detection of Alzheimer’s disease in EEG

  • OpenNeuro dataset: https://github.com/OpenNeuroDatasets/ds004504

  • Jeong, J. EEG dynamics in patients with Alzheimer’s disease. Clin. Neurophysiol. 115, 1490–1505 (2004).

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  • Petersen, R. C. Early…

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  • Estimation and optimization of reinforcement parameters for composite material using a machine learning approach

  • Khaderi, S. N., Deshpande, V. S. & Fleck, N. A. The stiffness and strength of the gyroid lattice. Int. J. Solids Struct. 51, 3866–3877 (2014).

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  • Chawla, K. K. & Boston, M. A. Ceramic Matrix…

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  • Correlations between chromaticity parameters and shear strength of granite residual soil with different free iron oxide content and moisture content

  • Kong, L., Sayem, H. M. & Tian, H. Influence of drying–wetting cycles on soil-water characteristic curve of undisturbed granite residual soils and microstructure mechanism by nuclear magnetic resonance (NMR) spin-spin relaxation time (T 2)…

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