يعرض 1 - 20 نتائج من 251 نتيجة بحث عن 'blank (learn OR plan) data processing', وقت الاستعلام: 0.10s تنقيح النتائج
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    Sulfur oxidative coupling of methane process development and its modeling via machine learning حسب Giovanni Scabbia (13751501)

    منشور في 2022
    "…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …"
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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…One thousand distribution transformers' real data from Spain for three years are used to demonstrate the performance of the proposed methodology with a trade-off between accuracy and processing time.…"
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    LocationSpark: In-memory Distributed Spatial Query Processing and Optimization حسب Mingjie Tang (227920)

    منشور في 2020
    "…<p>Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. …"
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    An Empirical Analysis of NMT-Derived Interlingual Embeddings and Their Use in Parallel Sentence Identification حسب Cristina Espana-Bonet (19720063)

    منشور في 2017
    "…</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Journal of Selected Topics in Signal Processing<br>License:<a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank"> https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jstsp.2017.2764273" target="_blank">https://dx.doi.org/10.1109/jstsp.2017.2764273</a></p>…"
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    Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

    منشور في 2023
    "…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
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    Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks حسب Ahmed Mohamed (628889)

    منشور في 2025
    "…In contrast, vibration data can be efficiently collected using accelerometers and single-channel data loggers, providing a more feasible solution for initial screening. …"
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    An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

    منشور في 2022
    "…This paper employs machine and deep learning techniques to classify textual data. Textual data contains much useless information that must be pre-processed. …"
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    RDFFrames: knowledge graph access for machine learning tools حسب Aisha Mohamed (5152970)

    منشور في 2021
    "…Machine learning tools work on data in tabular format and process it using an imperative programming style, while SPARQL is declarative and has as its basic operation matching graph patterns to RDF triples. …"
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    What do Neural Machine Translation Models Learn about Morphology? حسب Yonatan Belinkov (18973897)

    منشور في 2017
    "…However, little is known about what these models learn about source and target languages during the training process. …"
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    Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials حسب Abdul Wahab Ziaullah (16027076)

    منشور في 2023
    "…Among the mechanics of a BO is the use of a machine learning (ML) model that learns about the scope of the problem through data being acquired on the fly. …"