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  1. 2881

    Advancements of Deep Learning Model-Based Rehabilitation Training System by Xu Chiyu

    Published 2025-01-01
    “…In this paper, one of the studies proposed the concept of posture-guided matching based on paired Siamese Convolutional Neural Networks (SCNN), abbreviated as ST-AMCNN, on a dataset of the traditional Chinese rehabilitation training Baduanjin. …”
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  5. 2885

    Dynamical Analysis of an SE2IR Information Propagation Model in Social Networks by Qian Zhang, Xianyong Li, Yajun Du, Jian Zhu

    Published 2021-01-01
    “…Through simulation experiments without or with control strategies on a real company e-mail network dataset, this paper verifies the stability and correctness of the model and the feasibility and effectiveness of the control strategies in the information propagation process, presenting that the model is closer to the real process of the information propagation in the social network.…”
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  6. 2886

    Efficient energy consumption in smart buildings using personalized NILM-based recommender system by Fatemeh Taghvaei, Ramin Safa

    Published 2021-09-01
    “…The proposed approach is investigated using the Reference Energy Disaggregation Dataset (REDD). According to the results, the accuracy of the proposed framework is about 60%.…”
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  7. 2887

    Growth-rate distributions of gut microbiota time series by E. Brigatti, S. Azaele

    Published 2025-01-01
    “…Alternatively, we tried to describe our dataset by using a logistic neutral model with an environmental stochastic term. …”
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  8. 2888

    Few-Shot Contrail Segmentation in Remote Sensing Imagery With Loss Function in Hough Space by Junzi Sun, Esther Roosenbrand

    Published 2025-01-01
    “…The methodology leverages backbone segmentation models, which are pretrained on existing image datasets and fine-tuned using an augmented contrail-specific dataset. …”
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    ON THE RELATIONSHIP BETWEEN FINANCIAL AND SUSTAINABLE VARIABLES: INSIGHTS FROM GRAPHICAL GAUSSIAN MODEL by CARMINE DA FERMO, PAOLA MUSILE TANZI, MARCO NICOLOSI, ELENA STANGHELLINI

    Published 2024-12-01
    “…With the aim to increase our understanding of these relationships, we use a graphical modeling approach on the MSCI and Bloomberg sustainable dataset for years from 2017 to 2021. Our analysis shows that companies with a higher level of compliance with ESG standards have lower assets’ volatility than others and are not penalized in terms of returns. …”
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  11. 2891

    A Panoptic Segmentation for Indoor Environments using MaskDINO: An Experiment on the Impact of Contrast by Khalisha Putri, Ika Candradewi -

    Published 2025-01-01
    “…We then improved the model generalization on the various contrasts by re-optimizing it using a contrast-augmented dataset. …”
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  14. 2894

    Assessing the Impact of Land Degradation on Agricultural Output Using a Stochastic Frontier Production Function by Антон Сергеевич Строков

    Published 2024-12-01
    “…This paper focuses on one of Russia’s key agricultural regions, Samara Oblast, to examine how land degradation of agricultural soils affects crop production at the farm level. The dataset used in the study includes farm inputs (costs, land, and labour) and land quality variables, such as organic content (humus), levels of land degradation and soil erosion, as well as climate indicators, at the municipal level. …”
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  15. 2895

    Advanced Breast Cancer Diagnostics With PolyBreastVit: A Combined PolyNet and Vision Transformer Approach by Visalakshi Annepu, Mohamed Abbas, Hanumatha Rao Bitra, Naveen Kumar Vaegae, Kalapraveen Bagadi

    Published 2024-01-01
    “…The above model is trained and validated on a dataset of 880 high-definition images collected from 500 female subjects aged between 25 and 75 years on three classes: benign, malignant, and normal. …”
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  16. 2896

    Simulation of the Compressive Strength of Cemented Tailing Backfill through the Use of Firefly Algorithm and Random Forest Model by Qi-Ang Wang, Jia Zhang, Jiandong Huang

    Published 2021-01-01
    “…Experimental tests to measure the compressive strength of cemented tailing backfill were conducted to construct the dataset for the machine learning. Five input parameters (tailing to cement ratio, percentage of fine tailings, cement type, curing time, and solid to water ratio) were considered for the design of the laboratory tests. …”
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    Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning by Bonyou Koo, Sunyoung Kwon

    Published 2025-01-01
    “…Our findings reveal that node feature masking during pre-training achieves high performance, while rich features may reduce gains, and the commonly used 25% masking ratio is not universally optimal, with alternative ratios performing better depending on the dataset. Our study provides deeper insights into the benefits of masking techniques in molecular graphs and highlights their potential to improve semantic understanding and predictive accuracy in graph-based learning.…”
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  19. 2899

    The genus Thaxterogaster (Cortinariaceae): phylogeny and species diversity in Western China by Zi-Rui Wang, Song-Yan Zhou, Fei-Fei Liu, Zhu L. Yang

    Published 2025-02-01
    “…Based on morphological evidence and phylogenetic inference of a five-locus dataset, one hundred twelve species belonging to seven subgenera and 23 sections of Thaxterogaster were analysed. …”
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  20. 2900

    QSAR STUDY OF 2-SUBSTITUTED PHENYL-2-OXO-, 2-HYDROXYL- AND 2-ACYLLOXYETHYLSULFONAMIDES AS FUNGICIDES by Yusuf Isyaku, Adamu Uzairu, Sani Uba

    Published 2019-06-01
    “…Spartan 14 software was used to generate the molecular structure of the dataset which were then optimized using Density Function Techniques (DFT/B3LYP/6-31G*) quantum method found available in the software. …”
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