Showing 1,141 - 1,160 results of 68,390 for search 'data using has', query time: 0.45s Refine Results
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    Sensitivity Study of Multiconstellation GNSS-R to Soil Moisture and Surface Roughness Using FY-3E GNOS-II Data by Zhongmin Ma, Adriano Camps, Hyuk Park, Shuangcheng Zhang, Xiaojun Li, Jean-Pierre Wigneron

    Published 2025-01-01
    “…This highlights the shortcomings of using linear models to retrieve SM. Meanwhile, another important finding is that, for spaceborne GNSS-R data, SMAP-h may have underestimated the effective surface roughness.…”
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    Prediction of the monthly river water level by using ensemble decomposition modeling by Chaitanya Baliram Pande, Lariyah Mohd Sidek, Bijay Halder, Okan Mert Katipoğlu, Jitendra Rajput, Fahad Alshehri, Rabin Chakrabortty, Subodh Chandra Pal, Norlida Mohd Dom, Miklas Scholz

    Published 2025-07-01
    “…Hence, the best hybrid model has been concluded that the CEEMDAN data decomposition technique is very useful for improve performance of the prediction model, the complex river water level predictions by separating the data sets into various sub-frequencies, allowing a better understanding of trends, seasonality and fluctuations in the data. …”
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  13. 1153

    Was retrospective change measurement conducted with Covid-19 containment inconsistent? Comparing prospective and retrospective change measures using data from a national survey on... by Marc Dupuis, Joseph Studer, Matthias Wicki, Simon Marmet, Gerhard Gmel

    Published 2023-01-01
    “…Single-measurement-point data collection to assess change has increased with studies assessing the impact of the Covid-19 pandemic and of its containment, despite evidence of its lack of validity. …”
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  14. 1154

    Understanding mushroom farm environment using TinyML-based monitoring devices by Segun Adebayo, Halleluyah Oluwatobi Aworinde, Oluranti Olayinka Olufemi, Christian Okechukwu Osueke, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba

    Published 2025-01-01
    “…The latter is then connected to an XIAO ESP32-S3 microprocessor chip which supports different types of connections such as WiFi or Bluetooth connections while it can also run TinyML models to enable immediate processing of data. The authors set up the system to gather environmental data on time, using the Edge Impulse platform for data analysis and model training. …”
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  15. 1155

    Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data by W. Bang, J. T. Carlin, K. Kim, A. V. Ryzhkov, A. V. Ryzhkov, G. Liu, G. Lee

    Published 2025-06-01
    “…Three reference WPTs (snow (SN), rain (RA), and RASN) are obtained from particle size velocity (PARSIVEL) disdrometer data using a newly proposed decision tree algorithm. …”
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    Decision Making in the Innovation Process: Data-Driven vs. Data-Informed by Muge Abac

    Published 2024-03-01
    “…There has been a growing trend in the use of data-related buzzwords, and “data-driven decision-making” is one of them. …”
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    Optimizing Data Interoperability: An Approach Towards Unified Employment Data in Indonesia by Wahyuni Herpita, Mutiarin Dyah, Pribadi Ulung, Syakiran Akmal Ismail Nur, Priyo Purnomo Eko, Nurmandi Achmad, Kumorotomo Wahyudi, Ahdarrijal Yujitia

    Published 2024-01-01
    “…This research focuses on efforts to optimize data interoperability towards unified employment data in Indonesia, which consists of planning, manufacturing, integration, and marketing strategies using the Twitter social media account @kemnakerRI, which has the potential to provide valuable guidance for policy development, planning, and implementation of promotional strategies in future. …”
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    Methods of experimental settlement of contradicting data in evaluated nuclear data libraries by V. A. Libman, O. O. Gritzay, S. P. Volkovetskiy

    Published 2016-12-01
    “…The latest versions of the evaluated nuclear data libraries (ENDLs) have contradictions concerning data about neutron cross sections. …”
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    Big data analytics in healthcare: data sources, tools, challenges, and opportunities by Mohammed Badawy, Nagy Ramadan, Hesham Ahmed Hefny

    Published 2024-12-01
    “…Machine learning, deep learning, and healthcare are some terms used to search for these studies. Hence, a review of published papers utilizing machine learning and deep learning methods for the purposes of diagnosing, detecting, predicting, and monitoring conditions pertaining to healthcare has been conducted. …”
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