Showing 4,381 - 4,400 results of 8,676 for search 'rate data (preprocessing OR processing)', query time: 0.21s Refine Results
  1. 4381

    Modeling neurophysiological and psychomotor relevant criteria in children with motor dysfunction by Zh. L. Malakhova, A. M. Tynterova, S. V. Korenev, O. A. Tikhonova, L. A. Perminova, S. A. Botman

    Published 2024-01-01
    “…The examination of children in both groups included: analysis of the child’s life history, analysis of psychomotor development in the first year of life, analysis of morbidity in the first year of life, assessment of psychomotor development at the time of the study, electroneuromyography using stimulation and superficial electroneuromyography, as well as ultrasound examination of the lower leg muscles with assessment of the functional state and muscle density using fibroscan.For statistical processing of the obtained data, descriptive statistics were performed. …”
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  2. 4382

    MySTOCKS: Multi-Modal Yield eSTimation System of in-prOmotion Commercial Key-ProductS by Cettina Giaconia, Aziz Chamas

    Published 2025-03-01
    “…This paper provides an in-depth examination of the MySTOCKS platform’s modular structure, data-processing workflow, and its broader implications for sustainable and economically efficient inventory management within agrifood and large-scale retail environments.…”
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  3. 4383

    Most vulnerable diet and health profiles: identifying countries at risk through a three-theme clustering by Ahmet Murat Günal, Salim Yılmaz, Sedat Arslan

    Published 2025-07-01
    “…The Jaccard similarity coefficient was used to evaluate cluster overlap, and statistical significance was assessed through robust regression models and the Kruskal–Wallis H test. Data processing and visualization were performed using RStudio.ResultsThe analysis identified Cluster 3 as the most vulnerable group, comprising 45 countries with high similarity across all three themes. …”
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  4. 4384

    Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

    Published 2025-01-01
    “…Additionally, it demonstrates robust performance on the challenging ScanObjectNN dataset, with accuracies of 92% OA and 91.2% mAcc. The method processes data at rates of 205.1 samples per second during training and 493.6 samples per second during testing, outperforming the PointMLP method by a factor of 4.3. …”
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  5. 4385

    Multiple Classifier System for Handling Imbalanced and Overlapping Datasets on Multiclass Classification by Dessy Siahaan, Anwar Fitrianto, Khairil Anwar Notodiputro

    Published 2024-05-01
    “…The model’s performance is also tested using empirical data on Poverty in West Java in 2021. Empirical data also show that the proposed method performs well, with an accuracy rate of 80.09%, an F1 score of 0.782, and a G-Mean of 0.242. …”
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  6. 4386

    Estimating the probability of messages delivery in an IoT system by K. A. Polshchykov, T. N. Mahdi

    Published 2025-04-01
    “…Message delivery is performed using the server as an intermediary device to which client devices connect, i.e. sensor devices that transmit measured data, and wireless devices for healthcare workers that receive this data. …”
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  7. 4387

    A lithium-ion batteries SOH estimation method based on extracting new features during the constant voltage charging stage and improving BPNN. by Yanhua Xian, Mingyang Li, Jiayin Huang

    Published 2025-01-01
    “…The complexity and noise interference of battery data make it difficult to accurately extract health features, and it is necessary to develop effective methods to process the data and extract representative features. …”
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  8. 4388

    Cohort profile: Resettlement in Uprooted Groups Explored (REFUGE)—a longitudinal study of mental health and integration in adult refugees from Syria resettled in Norway between 201... by Fredrik Saboonchi, Alexander Nissen, Prue Cauley, Arnfinn Andersen, Øivind Solberg

    Published 2020-07-01
    “…Of the initial 9990 sampled individuals for the first wave of the study (REFUGE-I), 8752 were reached by post or telephone and 902 responded (response rate=10.3%).Findings to date None published.Future plans The REFUGE-cohort study will conduct two additional data collections (2020 and 2021). …”
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  9. 4389

    Magnetic Molecularly Imprinted Polymer Beads Obtained by Suspension Polymerization for the Adsorption of 2,4,6-Trichlorophenol from an Aqueous Solution in a Fixed-Bed Column by Ping Yu, Qilong Sun, Zhenjiang Tan, Minjia Meng, Jianming Pan, Yongsheng Yan, Chunxiang Li

    Published 2015-03-01
    “…The breakthrough time increased with the increase of the bed depth, but decreased with an increase of the initial concentration, flow rate and temperature. The Adams–Bohart and Thomas models were applied to the adsorption process under experimental conditions to predict the breakthrough curves for process design. …”
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  10. 4390

    Real‐time reliability evaluation method for IGBT module in MMC based on junction temperature and bond wire failure online monitoring by Zhonghao Dongye, Wuyu Zhang, Lei Qi, Bowen Gu, Hong Shen, Xiangyu Zhang, Xiang Cui

    Published 2024-11-01
    “…Therefore, this article proposes a real‐time reliability evaluation method of the multi‐state IGBT module in MMC through iterative calculation of the Markov chain model. The degradation process of the IGBT module is divided into multiple states based on the monitored bond wire failure, and the failure rate of the IGBT module is updated in real time using the accumulated monitoring data of junction temperature. …”
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  11. 4391

    Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters by Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva

    Published 2025-07-01
    “…<b>Background</b>: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. Baseline data include indices of humoral and cellular immunity (CD59, CD16, IL-10, CD14, CD19, CD8, CD4, etc.), cytokines and markers of cardiovascular disease, inflammatory markers (TNF, GM-CSF, CRP), growth and angiogenesis factors (VEGF, PGF), proteins involved in apoptosis and cytotoxicity (perforin, CD95), as well as indices of liver function, kidney function, oxidative stress and heart failure (albumin, cystatin C, N-terminal pro B-type natriuretic peptide (NT-proBNP), superoxide dismutase (SOD), C-reactive protein (CRP), cholinesterase (ChE), cholesterol, and glomerular filtration rate (GFR)). …”
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  12. 4392

    An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

    Published 2025-03-01
    “…Specifically, 60% of the data was used for training the models, 20% was used for validation to fine-tune the models’ parameters, and another 20% was used for testing to evaluate the models’ performance on unseen data. …”
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  13. 4393

    Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies by Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis, Mathias J. Krause

    Published 2025-04-01
    “…To solve this, a neural network-based predictive model was developed to forecast operational parameters, such as pressure and flow rates, under various conditions. This predictive capability allows for optimized filtration cycles, reduced downtime, and improved process efficiency. …”
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  14. 4394

    Personality Type D and Psychophysiological Stress Reactivity During Mental Stress in Young Healthy Individuals by Alexey N. Sumin, Natalia N. Zagorskaya, Anna V. Shcheglova, Anatoly A. Shipilov, Daniil Z. Kostylbaev, Elena A. Shikanova, Ingrid Y. Prokashko

    Published 2025-06-01
    “…Among the studied parameters, association with personality type D was noted for the following indicators during the mental arithmetic test: heart rate (<i>p</i> = 0.022), the Baevsky strain index (<i>p</i> = 0.004), respiratory rate (<i>p</i> = 0.020), and an indicator of regulatory process adequacy (<i>p</i> < 0.001). …”
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  15. 4395

    Modulation of microglial phagocytosis via the GAS6-MERTK pathway regulates pathological angiogenesis in the mouse oxygen-induced retinopathy model by Canelif Yilmaz, Irina Korovina, Anke Witt, Farid Abdallah, Bianca Müller, Carmen Hentsche, Anika Fleischhauer, Stephan Speier, Andreas Deussen, Anne Klotzsche - von Ameln

    Published 2025-06-01
    “…Indeed, we observed phagocytic microglia in close proximity to the pathological vessels and an altered phagocytosis rate by flow cytometry compared to controls. We observed a decrease in the phagocytic rate in early hypoxia-driven stages of OIR, whereas in later stages where pathological vessels appear, the phagocytosis rate was increased. …”
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  16. 4396
  17. 4397

    QUALITY OF SPECIALIZED OUT-PATIENT HEALTH CARE TO CHILDREN WITH PSYCHIATRIC PROBLEMS by T. A. Gasilovskaya

    Published 2012-05-01
    “…In current study the quality of the main processes of specialized out-patient health care to children with psychiatric problems was studied according to the method of expert judgment. …”
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  18. 4398

    Grinding power model for flute grinding of solid tools based on equivalent chip thickness by Lei REN, Jiangtao PAN, Daohui XIANG, Junjin MA, Xiaobin CUI

    Published 2025-02-01
    “…ObjectivesDuring the flute grinding process of solid tools, the majority of grinding power is converted into grinding heat. …”
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  19. 4399
  20. 4400

    Assessment of micro and nanosize C-based adsorbents for methylene blue uptake: A review by Khaled Al-Zawahreh, Remigio Paradelo

    Published 2025-01-01
    “…In this review, the overall performance of high-grade C-based adsorbents for removing methylene blue was evaluated for the first time through three criteria: maximum uptake capacity, reaction rate, and equilibrium time of the process. For this, data on adsorption of methylene blue by thirty C-based adsorbents was collected from the literature and analyzed in the framework of the aforementioned criteria. …”
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