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    A secure and efficient encryption system based on adaptive and machine learning for securing data in fog computing by Priyanka Rajan Kumar, Sonia Goel

    Published 2025-04-01
    “…The results collectively demonstrate that the adaptive encryption methodology significantly enhances security while maintaining efficiency in data transmission and processing within fog computing environments.…”
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  3. 443

    Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data by Mustapha Muhammad, Badamasi Abba, Jinsen Xiao

    Published 2025-01-01
    “…We practically demonstrate approximate Bayesian computation (ABC)-Gibbs scheme using Kolmogorov-Smirnov as distance function; this method is a simulation-based scheme, which the explicit formulation of the likelihood function is not required, hence, suitable for a complex model or big data, where the “accept-reject” mechanism is required for the posterior computation. …”
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    Dataset on neuropsychological profile and microbiota composition in cognitively unimpaired elderly and Alzheimer's patientsMendeley Data by Luis Heredia, David Mateo, Nerea Carrión, Margarita Torrente

    Published 2025-08-01
    “…Furthermore, it is well known that the gut microbiota exhibits significant variability associated with lifestyle habits, diet, and geographic location, underscoring the critical influence of environmental and cultural factors in shaping its composition. These data are of utmost importance when considering regional and lifestyle-related diversity in microbiome research, as they can help researchers explore personalized therapeutic approaches and enhance participant stratification in future clinical trials.…”
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  13. 453

    Addressing data scarcity in deep learning: Leveraging real and artificial datasets to predict compaction of composites by Anatoly Koptelov, Hanna Beketova, Jonathan P.-H. Belnoue, Stephen R. Hallett, Iryna Tretiak

    Published 2025-09-01
    “…Incorporating artificial data together with real data in the training set enhanced the overall prediction robustness, offering a potential solution to the issue of data scarcity. …”
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    Promotion of Fruit Consumption Using Nutrition and Health Claims: Sufficiency of Available Data on Nutrition Composition by Anita Kušar, Kerstin Pasch, Igor Pravst

    Published 2024-01-01
    “…The objective of the present study was to investigate data on the nutritional composition of selected widely available apple varieties in Europe for health promotion purposes. …”
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    Long-term data on biomass and species composition of fish by depth ranges in Peter the Great Bay by L. N. Kim, D. M. Kim

    Published 2021-12-01
    “…Species composition of fish in the bottom biotopes of Peter the Great Bay (Japan Sea) is considered for 8 biostatistical areas on the data of 2428 trawl catches obtained in 36 surveys conducted by Pacific Res. …”
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  18. 458

    Data-driven discovery of the design rules for considering the curing deformation and the application on double-double composites by Yizhuo Gui, Hongwei Song, Jinglei Yang, Cheng Qiu

    Published 2025-07-01
    “…The process-induced deformation (PID) of composite laminates has been one of the critical problems for engineering structures. …”
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    Predicting tree species composition using airborne laser scanning and multispectral data in boreal forests by Jaime Candelas Bielza, Lennart Noordermeer, Erik Næsset, Terje Gobakken, Johannes Breidenbach, Hans Ole Ørka

    Published 2024-12-01
    “…Tree species composition is essential information for forest management and remotely sensed (RS) data have proven to be useful for its prediction. …”
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