Showing 1,821 - 1,840 results of 8,676 for search 'rate data (preprocessing OR processing)', query time: 0.26s Refine Results
  1. 1821

    Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

    Published 2025-06-01
    “…Thus, there is a need for erosion models, necessarily process-focused ones, which are able to reliably represent the rates and extents of soil erosion under unprecedented circumstances. …”
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    Article
  2. 1822

    Space and Time Evolution of the Rupture for the 2010 August 27 Mw 5.8 Kuh-zar earthquake by Nazila Asaadi, Sonia Bazargan

    Published 2020-04-01
    “…Selecting the size of the rupture rate has a significant effect on the size of the slip and its area. …”
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    Article
  3. 1823
  4. 1824

    Deep sea spy: An online citizen science annotation platform for science and ocean literacy by Marjolaine Matabos, Pierre Cottais, Riwan Leroux, Yannick Cenatiempo, Charlotte Gasne-Destaville, Nicolas Roullet, Jozée Sarrazin, Julie Tourolle, Catherine Borremans

    Published 2025-05-01
    “…Since 2010, camera systems deployed at hydrothermal vents have acquired over 11 terabytes (TB) of data that cannot be processed by research labs only. …”
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    Article
  5. 1825

    Character-word level ensemble integrated model for power transformer defect recording text mining method by LI Yuan, LI Rui, LIN Jinshan, JIN Lingfeng, SHAO Xianjun, ZHANG Guanjun

    Published 2024-11-01
    “…The operation and maintenance management of transformers has accumulated a large amount of unstructured defect recording data in the form of text. However, the lack of effective mining method has led to an extremely low utilization rate. …”
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    Article
  6. 1826

    Design Considerations for 1.6 Tbit/s Data Center Interconnects: Evaluating IM/DD and Coherent Transmission over O-Band Transmission Window by Adrian A. Juarez, Yanjun Zhu, Xin Chen, Ming-Jun Li

    Published 2024-12-01
    “…As data center interconnects surge towards a 1.6 Tbit/s data rate, achieving cost-effective and technically viable solutions present challenges. …”
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    Article
  7. 1827

    Structured follow-up pathway to address unmet needs after transient ischaemic attack and minor stroke (SUPPORT TIA): Feasibility study and process evaluation. by Grace M Turner, Melanie Calvert, Robbie Foy, Lou Atkins, Philip Collis, Sarah Tearne, Sue Jowett, Kelly Handley, Jonathan Mant

    Published 2025-01-01
    “…We collected patient reported outcome measures (PROMs) at 1, 12 and 24 weeks and clinical data at baseline and 24 weeks. The process evaluation comprised qualitative interviews with a sub-sample, feedback questionnaires, and observations of intervention delivery.…”
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  8. 1828
  9. 1829

    UK APAP R-Matrix Electron-Impact Excitation Cross-Sections for Modelling Laboratory and Astrophysical Plasma by Giulio Del Zanna, Guiyun Liang, Junjie Mao, Nigel R. Badnell

    Published 2025-05-01
    “…Systematic R-matrix calculations of electron-impact excitation for ions of astrophysical interest have been performed since 2007 for many iso-electronic sequences as part of the UK Atomic Process for Astrophysical Plasma (APAP) network. Rate coefficients for Maxwellian electron distributions have been provided and used extensively in the literature and many databases for astrophysics. …”
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    Article
  10. 1830

    A new approach for evaluating regional permafrost changes: A case study in the Hoh Xil on the interior Qinghai‒Tibet Plateau by Yu-Xin Zhang, Lin Zhao, Chang-Wei Xie, Guo-Jie Hu, Shu-Hua Yang, De-Fu Zou, Yong-Ping Qiao, Xiang-Fei Li, Jia-Jie Peng

    Published 2024-12-01
    “…In this study, we develop a new approach to evaluate regional permafrost changes, which does not rely on spatially distributed meteorological data but instead uses the regional climate change processes or temperature change rates. …”
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    Article
  11. 1831
  12. 1832

    Cross-evaluation of wearable data for use in Parkinson’s disease research: a free-living observational study on Empatica E4, Fitbit Sense, and Oura by Haakon Reithe, Brice Marty, Juan C. Torrado, Elise Førsund, Bettina S. Husebo, Ane Erdal, Simon U. Kverneng, Erika Sheard, Charalampos Tzoulis, Monica Patrascu

    Published 2025-02-01
    “…The uptime was good, but Oura did not record heart rate and movement concomitantly. We also found variation in terms of access to raw data, sampling rate and level of device-native processing, ease of use, retrieval of data, and design. …”
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    Article
  13. 1833

    Methodological approach to assess cardiovascular dynamics in elite cyclists by Manuel Mateo-March, Alejandro Javaloyes, Iván Peña-González, Manuel Moya-Ramón

    Published 2025-12-01
    “…Key features include:• Thorough raw data preprocessing for reliability.• Power output normalization to CP for consistent assessment.• Sigmoid modeling of heart rate rise to gauge cardiovascular reactivity.This R-based, reproducible method empowers sports scientists and coaches to boost cyclist performance, with potential use in other endurance sports.…”
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    Article
  14. 1834

    Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review by Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos

    Published 2025-06-01
    “…However, it requires a series of costly and non-trivial procedures, and the success rate still needs improvement. Thus, increasing the success rate, simplifying the process, and reducing costs are all essential challenges of IVF. …”
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    Article
  15. 1835

    GPR Sensing and Visual Mapping Through 4G-LTE, 5G, Wi-Fi HaLow, and Wi-Fi Hotspots with Edge Computing and AR Representation by Scott Tanch, Alireza Fath, Nicholas Hanna, Tian Xia, Dryver Huston

    Published 2025-06-01
    “…Augmented reality headset representation of the F-scans is proposed as a method of assisting the operator in using the edge-processed scans. These promising results bode well for the potential of remote processing of GPR data in augmented reality applications.…”
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  16. 1836
  17. 1837

    Multi-Modal Fused-Attention Network for Depression Level Recognition Based on Enhanced Audiovisual Cues by Yihan Zhou, Xiaokang Yu, Zixi Huang, Feierdun Palati, Zeyu Zhao, Zihan He, Yuan Feng, Yuxi Luo

    Published 2025-01-01
    “…This study introduces a fused-attention model for evaluating depression severity using enhanced multi-modal data inputs. Applying several pre-trained advanced models, this article incorporates audiovisual sequences with augmentation. …”
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    Article
  18. 1838

    Assessing the factors militating against the effective implementation of electronic health records (EHR) in Nigeria by Abisola Esther BABATOPE, Idowu Peter ADEWUMI, Damola Olanipekun AJISAFE, Kayode Olayiwola ADEPOJU, Adetola Rachael BABATOPE

    Published 2024-12-01
    “…The study revealed a low utilization rate for EHR (mean 3.01, SD 0.115) and data storage (mean 3.00, SD 0.231), indicating major problems with EHR implementation. …”
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  19. 1839
  20. 1840

    Nonlinear transform coding for semantic communications by Ping ZHANG, Jincheng DAI, Yuming ZHANG, Sixian WANG, Xiaoqi QIN, Kai NIU

    Published 2023-04-01
    “…The modular design and limited processing mechanism of traditional communication systems limit the continuous improvement of end-to-end data transmission capability.For this reason, a new nonlinear transform coding framework for semantic communications was proposed.First, an end-to-end rate distortion optimization criterion for semantic communication was derived based on variational theory.Based on this, a nonlinear transform was designed to extract the compact representation of source data in the semantic latent space, and variable-rate nonlinear joint source-channel coding was implemented through the guidance of variational entropy model.Experiments show that semantic nonlinear transform coding can significantly improve the end-to-end data transmission performance and robustness, and is one of the key technologies to catalyze future semantic communications.…”
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