Showing 181 - 200 results of 590 for search 'data using ash', query time: 0.13s Refine Results
  1. 181
  2. 182

    Use of agroindustrial wastes as pozzolanic materials in cementitious systems: A review by Elias Rocha Gonçalves Júnior, Juliana Fadini Natalli, Marília Gonçalves Marques, Afonso Rangel Garcez de Azevedo, Markssuel Teixeira Marvila

    Published 2025-07-01
    “…Subsequently, experimental data were presented to support the pozzolanic potential of four key waste ashes: rice husk ash (RHA), palm oil fuel ash (POFA), bamboo leaf ash (BLA), and sugarcane bagasse ash (SCBA). …”
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  3. 183

    Removal of Zinc from Aqueous Solution Using Activated Oil Shale by Ehssan Nassef, Yehia Eltaweel

    Published 2019-01-01
    “…Egyptian oil shale (OS) was used as an adsorbent without any treatment, then thermally activated in absence of air (Carbo-OS), and separately burned to produce ash (OS-ash). …”
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  4. 184

    Wind Speed Weibull Model Identification in Oman, and Computed Normalized Annual Energy Production (NAEP) From Wind Turbines Based on Data From Weather Stations by Osama A. Marzouk

    Published 2025-03-01
    “…The 10 weather station locations in Oman and their corresponding governorates are Seeb (in Muscat), Salalah (in Dhofar), Buraimi (in Al Buraimi), Masirah (in Ash Sharqiyah South), Thumrait (in Dhofar), Sur (in Ash Sharqiyah South), Khasab (in Musandam), Sohar (in Sohar), Fahud (in Az Zahirah), and Saiq (in Ad Dakhiliyah). …”
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  5. 185

    Preparing Nanosilica Particles from Rice Husk Using Precipitation Method by Rusel Zahraw Farhan, Shahlaa Esmail Ebrahim

    Published 2021-09-01
    “…The precipitation method was used to prepared Nanosilica powder from rice husk ash, after treating it thermally at 700°C, followed by dissolving the silica in the alkaline solution and getting a sodium silicate solution. …”
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  6. 186

    Identification of potential insect ecological interactions using a metabarcoding approach by Nicole D. Borsato, Katherine Lunn, Nina R. Garrett, Alejandro José Biganzoli-Rangel, Daniel Marquina, Dirk Steinke, Robin Floyd, Elizabeth L. Clare

    Published 2025-02-01
    “…However, the challenge has shifted to selecting molecular markers which maximize information recovery while analyzing these data at broad biological scales. In this manuscript we use model arthropod groups to compare molecular markers and their analysis across life stages. …”
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  7. 187
  8. 188

    Evaluation of the Apple Pomace Use as a Raw Material for Alternative Solid Fuel by Oleksandr Ivashchuk, Volodymyr Atamanyuk, Roman Chyzhovych, Vladyslava Manastyrska, Iryna Sobechko

    Published 2024-12-01
    “…The paper presents the possibility of evaluation of using apple pomace as an alternative solid fuel. …”
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  9. 189
  10. 190

    Remaining Useful Life Prediction of Bearings via Semi-Supervised Transfer Learning Based on an Anti-Self-Healing Health Indicator by Jung-Woo Kim, Kyoung-Su Park

    Published 2025-06-01
    “…Meanwhile, transfer learning is frequently used when training the RUL deep learning model because there is a lack of data for run-to-failure experiments. …”
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  11. 191

    Investigation of Insulation Properties Using Microwave Nondevastating Methodology to Predict the Strength of Polymer Materials by Anitha Gopalan, S Ramesh, Nirmala P, Govindaraj Ramkumar, Satyajeet Sahoo, S. Agnes Shifani, S. Arockia Jayadhas

    Published 2022-01-01
    “…The research study focused on predicting the roughness of bulk polymer materials using fly ash. Fly ash is an alternative material that is used to replace both cement and fine aggregate to some extent. …”
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  12. 192
  13. 193

    EFFECT OF USING DUAL- PURPOSE OVEN ON AFLATOXINS DESTRUCTION AND CHEMICAL COMPOSITION OF YELLOW CORN by Salah Ahmed, Maha A. Al-Jawady

    Published 2019-06-01
    “…These were included moisture, protein, fat, ash, and carbohydrates %. Data show that treatment of the corn by dual purpose oven resulted in reduction of aflatoxin B<sub>1</sub> and G<sub>1</sub> by 25.4 – 100 and 32-100 %, respectively. …”
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  14. 194

    Prediction of Unconfined Compressive Strength in Stabilized Clay Soil Using Artificial Neural Networks by Indriani Lia, Riyadi Slamet, Zaki Ahmad

    Published 2024-01-01
    “…In carrying out the training phase, 13 inputs were used in the form of granulometric test results, and in the testing phase, data from soil-free compression tests in the laboratory were used. …”
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  15. 195

    The use of improvised chemicals and materials in teaching and learning chemistry in two selected districts of Rwanda by Celestin Ngendabanga, Jean Baptiste Nkurunziza, Leon Rugema Mugabo

    Published 2025-12-01
    “…Findings reveal that while theoretical teaching dominates due to material shortages, improvised chemicals like ash, lemon, and eggshells are occasionally used to bridge the gap between theory and practice. …”
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  16. 196

    Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

    Published 2024-01-01
    “…The models were trained on 70 % of the data, and the remaining 30% was used for testing. …”
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  17. 197

    A Simple Neural Network for Estimating Fine Sediment Sources Using XRF and XRD by Selline Mutiso, Keisuke Nakayama, Katsuaki Komai

    Published 2024-11-01
    “…Therefore, based on the nature of the surface soil cover and the land use pattern in the catchment basin, NNA was found to be a reliable data analytical technique. …”
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  18. 198

    Physical Classification of Soybean Grains Based on Physicochemical Characterization Using Near-Infrared Spectroscopy by Marisa Menezes Leal, Nairiane dos Santos Bilhalva, Rosana Santos de Moraes, Paulo Carteri Coradi

    Published 2025-06-01
    “…The study aimed to determine the physical and physicochemical properties of soybean grains using NIR spectroscopy coupled with multivariate data analysis. …”
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  19. 199

    Research on high-temperature graphitization of anthracite using Raman and electron paramagnetic resonance spectroscopy by Pavlo Saik, Artem Sybir, Igor Vorona, Oksana Isaieva, Volodymyr Yukhymchuk, Volodymyr Trachevsky, Oleksandr Burchak, Ivan Hubynskyi, Vasyl Lozynskyi, Vasyl Lozynskyi

    Published 2025-05-01
    “…The experiments were conducted in an electrothermal fluidized bed system, providing heating rates up to 1000 K/min and holding times of several tens of minutes.ResultsThe combined analysis of Raman and EPR data revealed that graphitization occurs in three distinct temperature intervals. …”
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  20. 200

    Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling by A. Kampouri, A. Kampouri, V. Amiridis, T. Georgiou, T. Georgiou, S. Solomos, A. Gialitaki, A. Gialitaki, M. Tsichla, M. Tsichla, M. Rennie, S. Scollo, P. Zanis

    Published 2025-07-01
    “…Additionally, to study the impact that the wind fields have on volcanic ash forecasting, the experiment is repeated using fields that assimilate Aeolus wind lidar data. …”
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