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  • The integration imperative in electricity grid transition

    The integration imperative in electricity grid transition

    The integration imperative in electricity grid transition

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  • Acknowledgment to the reviewers in 2025

    Acknowledgment to the reviewers in 2025

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  • A hybrid machine learning approach for detecting DDoS attacks in software-defined networks

  • Zhang, P., Wang, H., Hu, C. & Lin, C. On denial-of-service attacks in software-defined networks. IEEE Network. 30, 28–33 (2016).

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  • Karakus, M. & Durresi, A. Quality of service (qos) in software…

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  • Comparing qualitative thematic analysis and machine-based topic modelling in the analysis of autistic and ADHD young people’s accounts of emotions

  • Lai, M.-C. et al. Prevalence of co-occurring mental health diagnoses in the autism population: A systematic review and meta-analysis. Lancet Psychiatry 6(10), 819–829 (2019).

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  • Larson, K. et…

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  • Cryo-EM structure of bixafen-bound S. cerevisiae complex II unravels SDHI specificity against pathogenic fungi

  • Rich, P. R. & Maréchal, A. Electron transfer chains: structures, mechanisms and energy coupling In Comprehensive Biophysics Vol. 8 (ed Ferguson S. J.) 72-93 (Elsevier Inc., 2012).

  • Luttik, M. A. et al. The Saccharomyces cerevisiae NDE1 and NDE2…

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  • Deep tissue optoacoustic monitoring of photothermal treatments in the NIR-II assisted with silica-coated gold nanorods

    Deep tissue optoacoustic monitoring of photothermal treatments in the NIR-II assisted with silica-coated gold nanorods

  • Fales, A. M., Vogt, W. C., Pfefer, T. J. & Ilev, I. K. Quantitative Evaluation of Nanosecond Pulsed Laser-Induced Photomodification of Plasmonic Gold Nanoparticles. Sci. Rep. 7, 15704 (2017).

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  • A Deep Learning–Based Approach for Dielectric Permittivity Inversion of RIMFAX Ground-penetrating Radar Data

    The dielectric permittivity is a crucial parameter in planetary ground-penetrating radar (GPR) missions, such as the RIMFAX radar onboard the Mars 2020 Perseverance rover. It characterizes subsurface materials and enables depth interpretation of…

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  • 6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction

  • Zheng, C., Qin, L. & et al. Urban flow prediction from spatio-temporal data with deep meta-learning. Proc. of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 1720–1730 (2020).

  • Vlahogianni, E. I., Karlaftis, M….

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