Showing 501 - 520 results of 1,042 for search 'input quantitative', query time: 0.09s Refine Results
  1. 501

    The mechanism and heterogeneity of environmental regulations’ impact on the technological progress of dairy farming by Hao LIU, Hua PENG, Li-wang LI, Xiao-xia DONG

    Published 2022-10-01
    “…The U-type influence means moving from pollution control's high cost and low technology progress to the high profit and high innovation input generated by optimizing the breeding structure. …”
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    Article
  2. 502

    Transfer Function of a Time-Varying Control System Considering Actuator Inertia by Volt Avdieiev

    Published 2025-05-01
    “…Using the TF of equivalent link, it is possible to obtain for the selected trajectory section a quantitative estimate of the stability margin, the duration of the transient process, the accuracy of disturbance compensation, and the transmission coefficient depending on the signal frequency input. …”
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    Article
  3. 503

    The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

    Published 2025-03-01
    “…A real quantitative evaluation of the contribution of the crane radar to operational decision making is, however, still missing.…”
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    Article
  4. 504

    Implementation of the Borda Method for Selecting Winners in the Tahfeez Tahmeed and Prayer Competition by DPD Recital Alhidayah by Miftah Rizki Marpaung, Edi Kurniawan, Elly Rahayu

    Published 2025-07-01
    “…The results of the study show that this system can speed up the assessment process and announcement of the winner from the previous 4–5 days to instant after the input of the score is completed. This system also increases transparency, reduces subjectivity, and ensures consistency in scoring. …”
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    Article
  5. 505

    Calculating the water surface area - a comparative analysis between results obtained from open data of optical and radar sensors by N. Mitev, S. Katsarska-Filipova, D. Filipov, P. Raeva

    Published 2025-07-01
    “…In order to be able to extract quantitative characteristics from the images, it is necessary to convert the resulting raster data into vector data. …”
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    Article
  6. 506

    IMPROVING CLUSTER ACCURACY IN TUITION FEES: A MULTILAYER PERCEPTRON NEURAL NETWORK AND RANDOM FOREST APPROACH by Sumin Sumin, Prihantono Prihantono, Khairawati Khairawati

    Published 2025-01-01
    “…This research was conducted using exploratory methods and quantitative approaches involving a population of PTKIN students throughout Indonesia. …”
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    Article
  7. 507

    Modelling of the vertical migration process of phosphogypsum components in the soil profile by Chernysh Ye. Yu., Plyatsuk L. D., Yakhnenko O. M., Trunova I. O.

    Published 2017-12-01
    “…The qualitative and quantitative identification of main biogenic elements (phosphorus, sulphur, calcium etc) and heavy metals in lysimetric solutions from various horizons while getting on the surface of soil solutions containing phosphogypsum components is carried out by means of designed laboratory and experimental complex. …”
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    Article
  8. 508

    Prediction of the anti-carbonation performance of concrete based on random forest – least squares support vector machine model by Sivaraja M., Swaminathen A. N., Kuttimarks M. S., Rajprasad J., Sakthivel M., Rex J.

    Published 2025-05-01
    “…Quantitative results show that the RF-LSSVM model achieves a root mean square error (RMSE) of 5e–5 and a high coefficient of determination (R-squared) of 0.999, indicating robust predictive capability and accuracy. …”
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    Article
  9. 509

    Prognostic Value of Adaptive Textural Features–The Effect of Standardizing Nuclear First-Order Gray Level Statistics and Mixing Information from Nuclei Having Different Area by Birgitte Nielsen, Håvard E. Danielsen

    Published 2006-01-01
    “…Background: Nuclear texture analysis is a useful method to obtain quantitative information for use in prognosis of cancer. …”
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    Article
  10. 510

    Assessing innovative tools and techniques for managing knowledge in construction firms in Nigeria by PETER ADEYEMI, Taiwo F. Adegbembo

    Published 2023-10-01
    “… risks and require the input of several stakeholders. Therefore, there is a need to help organisations identify, assess, and manage these risks, reducing the likelihood of project delays, cost overruns, and other problems faced in the industry through effective Knowledge Management (KM). …”
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    Article
  11. 511

    Nurses' Perception toward Shared Governance in Clinical Practice at General Hospitals in Jeddah City. by Eman H. Aljohani, Ghada M. Hamouda, Maram A. Banakhar

    Published 2024-02-01
    “…Aim: To assess nurses' perception toward shared governance at general hospitals in Jeddah city.               Methods: A quantitative descriptive cross-sectional study design was conducted. …”
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    Article
  12. 512

    The Status, Applications, and Modifications of the Snowmelt Runoff Model (SRM): A Comprehensive Review by Ninad Bhagwat, Rohitashw Kumar, Mahrukh Qureshi, Raja M. Nagisetty, Xiaobing Zhou

    Published 2025-06-01
    “…This paper highlights some of the global SRM research, focusing on the working of the model, input parameters, remote sensing data availability, and modifications to the original model.…”
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    Article
  13. 513

    Evaluasi Kepuasan Pengguna Menggunakan Model End User Computing Satisfaction (EUCS) Pada Valery (Virtual Resources Library) Perpustakaan Universitas Bandar Lampung by Dhea Nabella Putry, Mezan el Khaeri Kesuma, Irva Yunita, Eni Amaliah

    Published 2025-06-01
    “…This study attempts to assess the level of user satisfaction with Valery , a virtual resource library at the Bandar Lampung University Library that has a unique voice feature that makes it interesting to study. By using quantitative techniques, this study is descriptive. In this study, 88 participants were surveyed. …”
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    Article
  14. 514

    Prediction on Slip Modulus of Screwed Connection for Timber–Concrete Composite Structures Based on Machine Learning by Wen-Wu Lu, Yu-Wei Chen, Ji-Gang Xu, Hui-Feng Yang, Hao-Tian Tao, Wei Zheng, Ben-Kai Shi

    Published 2025-07-01
    “…Through a SHAP analysis, it was found that concrete strength, screw inclination, timber density, and timber type have a large impact on the slip modulus of a screwed connection compared to other input features.…”
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    Article
  15. 515

    DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

    Published 2025-07-01
    “…By employing visual observation and quantitative analysis (with the chamfer distance as the measurement index), it is evident that DFPS can effectively preserve global feature information. …”
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    Article
  16. 516

    Employment Relations and the Performance of Government Entities: A Case Study of Kabale District Local Government. by Asiimwe, Jackline

    Published 2023
    “…Finally the study recommended that employees' input should be recognized and valued by the employer.…”
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    Thesis
  17. 517

    Analysis of Stakeholders Involvement in the Implementation of the M.A. Literature Curriculum at Kabale University Using E-Learning Approach by Johnson, Ocan, Constance, Tukwasibwe, Chrisostom, Oketch

    Published 2021
    “…It recognizes the different stakeholders and their input for curriculum innovation. Therefore, identifying, understanding and managing stakeholders’ involvement in curriculum implementation is a key driver in the curriculum development. …”
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    Article
  18. 518

    Bayesian optimized parameter selection for density-based clustering applied to single molecule localization microscopy by Joseph L. Hammer, Alexander J. Devanny, Laura J. Kaufman

    Published 2025-06-01
    “…However, little guidance is available for evaluating clustering performance, which is often dependent on user-input parameters. Here, we develop an efficient implementation of density-based cluster validation (DBCV) that can quantitatively evaluate clustering in SMLM-sized datasets. …”
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    Article
  19. 519

    Illumination-adaptative granularity progressive multimodal image fusion method by Chuanyun WANG, Dongdong SUN, Mingqi ZHOU, Tian WANG, Qian GAO, Zhaokui LI

    Published 2025-06-01
    “…First, a large model-based scene information embedding module is designed to effectively capture scene context from the input visible light image. This module leverages a pretrained image encoder to model the scene, generating scene vectors that are processed through various linear layers. …”
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    Article
  20. 520

    The Pharmacognostic Research of L. luteus L. by O. V. Grechana

    Published 2014-04-01
    “…Method of internal standard was used for quantitative calculations. During conducting of GL chromatography 64 compounds were found. …”
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    Article