Showing 701 - 720 results of 1,042 for search 'input quantitative', query time: 0.07s Refine Results
  1. 701

    Impacts of long-range transport of aerosols and biomass burning smoke from the Bay of Bengal to the Indian Ocean by Benjamin de Foy, Noora Khaleel, Thameem Abdul Razzaq, Md Firoz Khan, Siti Jariani Mohd Jani, Michael H Bergin, James J Schauer

    Published 2025-01-01
    “…The strength of the GAM simulations is that they calculate smooth splines that directly relate input variables to PM _2.5 concentrations. In this way, they are a type of Interpretable Machine Learning (IML) / eXplainable Artificial Intelligence (XAI) that provide quantitative information on the sources of PM _2.5 . …”
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  2. 702

    The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review by Sergio Diez Alvarez, Antoni Fellas, Katie Wynne, Derek Santos, Dean Sculley, Shamasunder Acharya, Pooshan Navathe, Xavier Gironès, Andrea Coda

    Published 2024-12-01
    “…Adherence of participants to smartwatch technology varied between included studies, with one reporting input submissions of 58% and another reporting that participants logged 50% more entries than they were required to. …”
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  3. 703

    Multi-Criteria Fuzzy Portfolio Optimization Considering Varying Levels of Investor Expectations by Ali Namaki, Saeid Shirkavand, Amirsina Jirofti

    Published 2025-03-01
    “…On one hand, the utilization of fuzzy logic in modeling this problem can enhance its alignment with real-world conditions by accommodating uncertainty in input data. On the other hand, the proposed model for portfolio selection incorporates not only risk and return as key factors for investors but also considers other important factors. …”
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  4. 704
  5. 705

    Core competency model self-directed violence prevention training program for corrections: a hybrid feasibility-effectiveness trial by Skyler D. Prowten, Sam C. Cacace, Jessamyn Moxie, Ava Peters, Adria Corral, Marvella Bowman, Lewis J. Peiper, Robert J. Cramer

    Published 2025-08-01
    “…BHCs (N = 60) were randomly assigned to two training groups: Baseline training versus waitlist control. BHCs provided quantitative and qualitative survey input on CCM-C feasibility outcomes (aim 1), and completed self-report inventories of self-directed violence-related outcomes (aims 2 and 3). …”
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  6. 706

    Soft-Computing Analysis and Prediction of the Mechanical Properties of High-Volume Fly-Ash Concrete Containing Plastic Waste and Graphene Nanoplatelets by Musa Adamu, Yasser E. Ibrahim, Mahmud M. Jibril

    Published 2024-11-01
    “…Hence, this study employed two machine-learning (ML) models, namely Gaussian Process Regression (GPR) and Elman Neural Network (ELNN), to forecast the mechanical properties of HVFAC. The study input variables were PW, FA, GNP, W/C, CP, density, and slump, where the target variables are compressive strength (CS), modulus of elasticity (ME), splitting tensile strength (STS), and flexural strength (FS). …”
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  7. 707

    Experimental study on impact fracture characteristics and energy dissipation law of coal under water confining pressure by WANG Kai, FENG Guorui, BAI Jinwen, ZHANG Junliang

    Published 2025-06-01
    “…With the increase of water confining pressure, the total input energy shows a trend of gradual increase, and more energy is required from the outside when the coal body is damaged.…”
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  8. 708

    Plastics in the German building and infrastructure sector: A high-resolution dataset on historical flows, stocks, and legacy substance contaminationZenodo by Sarah Schmidt, Xavier-François Verni, Thomas Gibon, David Laner

    Published 2025-06-01
    “…The linked data repository contains simulated data, input data, and model files, enabling model reproduction, adjustment, or expansion. …”
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  9. 709

    Ultrasonic Atomization—From Onset of Protruding Free Surface to Emanating Beads Fountain—Leading to Mist Spreading by Katsumi Tsuchiya, Xiaolu Wang

    Published 2025-04-01
    “…High-speed, high-resolution imaging made it possible to qualitatively identify <i>four</i> representative transitions/demarcations: (1) the <i>onset</i> of a protrusion on otherwise flat free surface; (2) the <i>appearance</i> of undulation along the growing protuberance; (3) the <i>triggering</i> of emanating beads fountain out of this foundation-like region; and (4) the <i>induction</i> of droplets bursting and/or mist spreading. Quantitatively examined were the two-parameters specifications—on the degrees as well as induction—of the periodicity in the protrusion-surface and beads-fountain oscillations, detected over wider ranges of driving/excitation frequency (0.43–3.0 MHz) and input power density (0.5–10 W/<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">c</mi><mi mathvariant="normal">m</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>) applied to the ultrasound transducer of flat surface on which the nozzle was either mounted or not. …”
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  10. 710

    Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure by Umme Salma, Md. Shariful Alam, S. M. Chapal Hossain, Md. Nurul Huda, Tarikul Islam

    Published 2025-05-01
    “…A central composite design within the RSM framework is applied for statistical experimental design, exploring combinations of input parameter values. Sensitivity analysis is used to evaluate how input parameters affect the response that is produced. …”
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  11. 711

    Suitability of assessing population-level impacts from construction of a single wind farm – a case study on North Sea harbour porpoises by N. C. F. van Geel, S. Benjamins, B. Marmo, J. Nabe-Nielsen, A. Wittich, D. Risch, V. L. G. Todd, V. L. G. Todd, B. Wilson

    Published 2025-05-01
    “…Both models were parameterised using project-specific input values underpinned by static passive acoustic monitoring data. …”
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  12. 712

    Mixed Sedimentation in the Transition Zone Between a Shallow-Water Delta and Tidal Flat and Its Influence on Reservoir Quality: A Case Study of Member B of the Asmari Formation in... by Juan He, Li Yang, Yunjie Fan, Chen Hui, Bowen Zhang, Wen Zhou, Meiyan Fu

    Published 2025-05-01
    “…These lithofacies were deposited in the transition zone between distributary channels and intertidal zone with different water depths. As the terrigenous input decreased, the water depth for sand-bearing facies increased. …”
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  13. 713
  14. 714

    Optimized Machine Learning-Augmented Hybrid Empirical Models for AlGaN/GaN HEMTs: A Comprehensive Analysis by Ahmad Khusro, Saddam Husain, Mohammad Hashmi

    Published 2025-01-01
    “…Finally, a thorough quantitative assessment and detailed comparisons are performed in terms of standard regression tests, mean absolute percentage error, Nash&#x2013;Sutcliffe efficiency, Kling&#x2013;Gupta efficiency, training and prediction speed, reliability of model parameters, and simulation agreement with the measured S-parameters. …”
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  15. 715

    Title not available by Juncal, Manuel Antonio, Barreiro, Iván Rodriguez, Galtier, Jean, Broutin, Jean, Pellenard, Pierre, Steyer, Jean-Sébastien, Diez, José Bienvenido, Gand, Georges

    Published 2025-06-01
    “…Wind-transported volcanic ash likely provided nutrient input, enhancing lacustrine phytoplankton growth.…”
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  16. 716

    Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

    Published 2025-01-01
    “…Then, data augmentation was performed within each category using simplified molecular input line entry system (SMILES) enumeration combined with structural similarity expansion. …”
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  17. 717

    A novel method enhanced mechanical properties of a selective laser melted Mar-M247 superalloy by progressive remelting by Liyu Li, Tao Dong, Fengchun Jiang, Yi Ru, Chunhuan Guo, Mingxia Diao, Haolun Song

    Published 2024-11-01
    “…This work helps further comprehend the relationship of volumetric energy density - thermal gradient - cooling rate - microstructure - mechanical properties, especially utilizing accumulative input energy to control temperature field, and offers a new opportunity to non-weldable superalloys fabricated in commercially available SLM systems.…”
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  18. 718

    Validation and identification of new QTLs for plant and fruit developmental and composition traits in eggplant under low N conditions by Gloria Villanueva, Santiago Vilanova, Mariola Plazas, Pietro Gramazio, Jaime Prohens

    Published 2024-12-01
    “…Enhancing plant adaptation to low input conditions is a fundamental goal for implementing sustainable agriculture. …”
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  19. 719

    PENGARUH FASAD MASJID RAYA TERHADAP ARSITEKTUR MASJID-MASJID KECIL DI MAKASSAR by Wahyuni Jaharuddin, Ria Wikantari R, Afifah Harisah

    Published 2019-06-01
    “…The influence of small mosques influenced by the architect's design results, the wishes of the board, and input from some worshipers.The similarities of the façade are in the form of arches at the gates of the mosque, the use of large columns, roof plates, symmetrical shapes and easily formed according to the size of the land, the shape of the dome which indeed came from one factory, similar ornaments and rhythms with Makassar Raya Mosque. …”
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  20. 720

    A Multicomponent Strategy to Improve HIV Pre-Exposure Prophylaxis in a Southern US Jail: Protocol for a Type 3 Hybrid Implementation-Effectiveness Trial by Ank E Nijhawan, Jana Kholy, Julia L Marcus, Timothy P Hogan, Robin T Higashi, Jacqueline Naeem, Laura Hansen, Brynn Torres, Barry-Lewis Harris, Song Zhang, Douglas Krakower

    Published 2025-03-01
    “…This approach, which will include an electronic health record (EHR) prediction model and integration of a PrEP patient navigator into the jail health team, will allow medical providers and the navigator at the DCJ to engage individuals most likely to benefit in shared decision-making about PrEP and navigate them to community PrEP care (implementation) in a process that begins before release from jail and ends with successful care linkage. Regular quantitative and qualitative evaluations of this approach will allow for ongoing stakeholder input, refinement of the implementation strategy, and maintenance of the program (sustainment). …”
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