Showing 721 - 740 results of 1,462 for search 'raw data processing', query time: 0.13s Refine Results
  1. 721

    Implementasi Sistem Peramalan Pengadaan Kebutuhan Bahan Baku Pangan Dengan Metode Weighted Moving Average by Reza Ena Erlinda, Uky Yudatama, Endah Ratna Arumi

    Published 2022-02-01
    “…The results of the data recap of the report on the use of raw materials will then be carried out a mathematical calculation process to produce a forecasting value. …”
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  2. 722

    RUL Prediction Based on MBGD-WGAN-GRU for Lithium-Ion Batteries by Zhiguo Zhao, Ke Li, Yibo Dai, Biao Chen, Yeqin Wang, Qian Zhao

    Published 2025-01-01
    “…First, the IHF, which captures battery aging characteristics, is extracted from raw LIBs data, and the dataset is partitioned into training (70%) and testing (30%) subsets. …”
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  3. 723

    mbX: An R Package for Streamlined Microbiome Analysis by Utsav Lamichhane, Jeferson Lourenco

    Published 2025-05-01
    “…It automates key post-sequencing steps, including taxonomic data cleaning and visualization, addressing the need for reproducible and user-friendly microbiome workflows. mbX’s core functions, ezclean and ezviz, take raw taxonomic output (such as those from QIIME 2) and sample metadata to produce a cleaned relative abundance dataset and high-quality stacked bar plots with minimal manual intervention. …”
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  4. 724

    Historical development of accelerometry measures and methods for physical activity and sedentary behavior research worldwide: A scoping review of observational studies of adults. by Kelly R Evenson, Elissa Scherer, Kennedy M Peter, Carmen C Cuthbertson, Stephanie Eckman

    Published 2022-01-01
    “…The review identified 155 observational studies of adults that collected accelerometry, utilizing a wide range of accelerometer data processing methods. Researchers inconsistently reported key aspects of the process from collection to analysis, which needs addressing to support accurate comparisons across studies.…”
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  5. 725

    The methodology of food design. Part 1. The individual aspect by A. Yu. Prosekov

    Published 2020-12-01
    “…Innovative technologies for food raw material processing and food production are becoming globally important within the framework of modern biotechnology. …”
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  6. 726

    THE STUDY OF ORGANOLEPTIC AND FUNCTIONAL-TECHNOLOGICAL PROPERTIES OF PORK MUSCLE TISSUE NOR AND PSE AT THE INDUSTRIAL ENTERPRISES OF THE SOUTHERN FEDERAL DISTRICT by Olga N. Orlova, Vitaliy S. Mkrtichyan, Ludmila V. Skripnik, Ludmila V. Krichun

    Published 2018-12-01
    “…The paper presents the results of studies of organoleptic (color, consistency, water content) and functional-technological (pH, moisture binding capacity and loss of juice during cooking) properties of muscle tissue of NOR and PSE pork, obtained from animals transported at distances of 50 and 170 km, depending on pre-slaughter preparation. Experimental data of systematization of pork properties and calculation of the quantitative value of meat properties allowed to establish pork belonging to the quality groups NOR and PSE and to form a data bank of organoleptic and functional-technological parameters of pork muscle tissue entering the meat processing enterprises of the Southern Federal district. …”
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  7. 727

    Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT by Fawaz S. Al-Anzi, S. T. Bibin Shalini

    Published 2024-11-01
    “…The pronunciation dictionary, language model, and acoustic model were further derived from the MFCCs’ features. These output data were processed into Baidu’s Deep Speech model (ASR system) to attain the text corpus. …”
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    Article
  8. 728

    Img2Neuro: brain-trained neural activity encoders for enhanced object recognition by Mona A Aboelnaga, Mohamed W El-Kharashi, Seif Eldawlatly

    Published 2025-01-01
    “…For decades, the brain’s visual pathway has inspired machine and deep learning models, yet these models oversimplify the brain’s complex visual processing. This is manifested in the significant superiority of the brain in comparison to the developed models in terms of the accuracy and the amount of data needed for training. …”
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    Article
  9. 729

    Optimal Calculation Method of Mean Equivalent Diameter of Floc Particles Based on MCC by Jun Liu, Siqi Peng, Nan Zhou

    Published 2022-01-01
    “…In the process of water treatment, coagulation is an important process to remove minerals and organic particles from raw water, which has typical time delay and nonlinearity. …”
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  10. 730

    Impact of Microwave Treatment on Chemical Constituents in Fresh Rhizoma Gastrodiae (Tianma) by UPLC-MS Analysis by Qimeng Fan, Chaoyin Chen, Dingqi Xie, Shenglan Zhao

    Published 2014-01-01
    “…As major active compounds, the contents of gastrodin and gastrodigenin in MWT Tianma were both twice as much as those in raw Tianma. Besides, the MS data show that there are still some unidentified compositions in Tianma, and there are also many converted compounds in MWT Tianma, which is worthy of further work. …”
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  11. 731

    GaSim: A python class to generate simulated time signals for gamma spectroscopy by Zikang Chen, Dima Bykhovsky, Xiaoying Zheng, Tom Trigano, Yongxin Zhu

    Published 2025-02-01
    “…The processing of nuclear pulse signals based on deep learning (DL) requires a well-labeled data set. …”
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  12. 732

    Analysis of the Vehicle Engine Misfires using Frequency-Domain Approaches at Various RPMs with ADXL1002 Accelerometer by Muhammad AHSAN, Dariusz BISMOR, Paweł FABIŚ

    Published 2024-10-01
    “…In conjunction with the acquisition of this raw vibration data, frequency-domain signal processing techniques are employed to meticulously analyze and diagnose the distinct signatures of misfire occurrences across various engine speeds and loads. …”
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    Article
  13. 733

    Economic growth and monetary policy in Russia by Sergey Yu. Glazyev, Oleg S. Sukharev

    Published 2025-04-01
    “…The purpose of the study is to determine the impact of basic monetary policy instruments on Russian economic growth and inflation over a long time interval, on the components of GDP and the sectoral structure represented by processing, raw materials and transaction sectors. The methodology rests on the neo-Schumpeterian growth theory. …”
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  14. 734

    Effect of Stirring Speed and Solid to Solvent Ratio on Fucoidan Yield from Sargassum sp. by Naili Uswatun Hasah, Dewi Purnama Wati, Sugiono Sugiono

    Published 2023-10-01
    “…Brown alga Sargassum sp. has bioactive alginate and fucoidan, which have the potential for raw materials in the biorefinery industry with core processing of fucoidan and alginate extraction. …”
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    Article
  15. 735

    Aspect Based Sentiment Analysis on Shopee Application Reviews Using Support Vector Machine by Dyah Ayu Wulandari, Fitra A. Bachtiar, Indriati Indriati

    Published 2025-01-01
    “…Feedback from users is needed to improve the quality of e-commerce services and user satisfaction. This research process includes data scraping, labeling, text pre-processing, TF-IDF, aspect, and sentiment classification. …”
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  16. 736

    THE CHALLENGES OF THE AGRICULTURAL SECTOR OF THE REPUBLIC OF MOLDOVA IN THE YEAR 2022 by Cristina ȘARBAN

    Published 2022-01-01
    “…On the basis of the research carried out, it was found that the impact of the crisis caused by the multiple changes in the agricultural sector poses a threat to the national economy and to the standard of living of citizens, but these obstacles force the development of the agro-industrial sector and its increased adaptation to the situation created and provides first of all for the development of the infrastructure for production, post-harvesting and processing, which is at an early stage of development and has been influenced by the presence of cheaper raw materials from import.…”
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  17. 737

    Nonparametric analysis of inter‐individual relations using an attention‐based neural network by Takashi Morita, Aru Toyoda, Seitaro Aisu, Akihisa Kaneko, Naoko Suda‐Hashimoto, Ikuma Adachi, Ikki Matsuda, Hiroki Koda

    Published 2021-08-01
    “…The high interpretability of the attention mechanism and flexibility of the entire neural network allow for automatic detection of inter‐individual relations included in the raw data, without requiring prior knowledge/assumptions about what modes/types of relations are included in the data. …”
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  18. 738

    Non-Destructive Detection of Chilled Mutton Freshness Using a Dual-Branch Hierarchical Spectral Feature-Aware Network by Jixiang E, Chengjun Zhai, Xinhua Jiang, Ziyang Xu, Muqiu Wudan, Danyang Li

    Published 2025-04-01
    “…Although hyperspectral data can effectively capture changes in mutton freshness, sparse raw spectra require optimal data processing strategies to minimize redundancy. …”
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    Article
  19. 739

    Efficient Adsorption of Lead on Hydro-Pyrochar Synthesized by Two-Step Conversion of Corn Cob in Magnesium Chloride Medium by Marija Simić, Jelena Petrović, Marija Koprivica, Marija Ercegović, Jelena Dimitrijević, Nikola S. Vuković, Núria Fiol

    Published 2025-05-01
    “…The pseudo-second-order model best described the adsorption process, while the best fit of the experimental data was observed with the Sips isotherm model. …”
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  20. 740

    Gearbox fault diagnosis convolutional neural networks with multi-head attention mechanism by Xu Hang, Li Huawei, Yang Shufeng, Cui Jianghong, Li Youhua, He Yuanchun, Xie Guiping, Wu Yaoting

    Published 2025-01-01
    “…However, end-to-end fault diagnosis methods based on deep learning can automatically learn feature representations from raw data. In this study, first, the raw vibration signals of various fault states of a planetary gearbox were segmented and preprocessed into input table data types. …”
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