Showing 1,001 - 1,020 results of 2,583 for search '((\ source detection functions\ ) OR (( resources OR resourcess) selection function\ ))', query time: 0.27s Refine Results
  1. 1001

    How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

    Published 2025-05-01
    “…Knowing the exact modeled tracer emission sources in WRF-Chem enables a precise quantification of the source detection accuracy. …”
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  2. 1002

    Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

    Published 2025-07-01
    “…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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  3. 1003
  4. 1004

    Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

    Published 2025-03-01
    “…By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. …”
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  5. 1005

    Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

    Published 2025-02-01
    “…(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. …”
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    Article
  6. 1006

    Leader election of dynamic wireless intelligent control machine in sensor network distributed processing by Eko Sediyono, Ferry Wahyu Wibowo, Hindriyanto Dwi Purnomo

    Published 2022-11-01
    “…The clustering of sensor nodes utilizes a cluster function using the CLEO algorithm. This paper also carried out the selection of group leaders to obtain an energy efficiency model from WSN-CLEO. …”
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    Article
  7. 1007

    Unveiling the ecological processes driving soil and lichen microbiome assembly along an urbanization gradient by Panji Cahya Mawarda, Rens van der Kaaij, Francisco Dini-Andreote, Deniz Duijker, Michael Stech, Adrianus GCL Speksnijder

    Published 2025-06-01
    “…Our findings revealed that the urbanization gradient shaped the soil microbiome, while the lichen microbiomes exhibited strong host specificity and showed no significant changes in diversity along the urbanization gradient. Heterogeneous selection and dispersal limitation primarily governed the soil community assembly and higher community turnover in medium- and highly urbanized zones compared to low-urbanized zones, indicating an increased influence of environmental pressures, altered resources, and habitat fragmentation in more urbanized areas. …”
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  8. 1008
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  10. 1010

    BUILDING AND DEVELOPING A PROJECT TEAM ON THE BASIS OF A MULTICRITERIA MODEL by Nataliia Kosenko, Alona Kolomiiets

    Published 2017-11-01
    “…The methods used are: multicriteria assessment and optimization methods, utility function. The following results are obtained. The general task of managing human resources and building a team for a new project was analyzed. …”
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  11. 1011

    Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

    Published 2021-01-01
    “…Experiments have proved that the new objective function can significantly improve the separation performance of neural networks. …”
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  12. 1012

    Numerical prognosis of the dynamic response of the steel rectangular slab under the explosive load by Sławomir Onopiuk, Adam Stolarski, Ryszard Rekucki

    Published 2025-06-01
    “…Conclusions were also formulated regarding the requirements for the selection of parameters of the sensors recording both the function of real explosion pressure in time and the function of acceleration in time of the slab model during experimental tests.…”
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  13. 1013

    Glucose Sensing in Saliva by Jacopo Giaretta, Riccardo Zulli, Theja Prabhakar, Ronil J. Rath, Sina Naficy, Sara Spilimbergo, Paul S. Weiss, Syamak Farajikhah, Fariba Dehghani

    Published 2024-11-01
    “…Abstract Glucose plays critical roles in many human body functions, above all as a source of energy. Abnormal levels of glucose are correlated to different diseases, importantly including diabetes. …”
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  14. 1014

    The transcription factor Ste12 mediates the regulatory role of the Tmk1 MAP kinase in mycoparasitism and vegetative hyphal fusion in the filamentous fungus Trichoderma atroviride. by Sabine Gruber, Susanne Zeilinger

    Published 2014-01-01
    “…An essential step in this mycoparasitic fungus-fungus interaction is the detection of the fungal host followed by activation of molecular weapons in the mycoparasite by host-derived signals. …”
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  15. 1015
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  17. 1017

    Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning by Li WANG, Yuxiang JIANG, Xiangjun ZENG, Bin ZHAO, Junhao LI

    Published 2025-05-01
    “…The reward function balances the goals of frequency recovery and power allocation among distributed energy resources , ensuring consistency in action selection among the intelligent agents. …”
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  18. 1018

    Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

    Published 2025-03-01
    “…At the present stage, the method of multi-parameter multi-level combination test block trial production is often used, but its production cycle is long, and the waste of human and material resources is serious. In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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  19. 1019

    A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

    Published 2025-12-01
    “…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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  20. 1020

    Competitividad de los sistemas híbridos eólicos-fotovoltaicos para la electrificación rural//Competitiveness of the wind-photovoltaic hybrid systems for the rural electrification... by Ciaddy Rodríguez Borges, Antonio Sarmiento-Sera

    Published 2015-01-01
    “…It was proposed a simple procedure of help for the selection it was carried out an economic analysis that allowed to obtain the main conclusion when checking the biggest competitiveness in these wind-photovoltaic hybrid systems regarding the diesel generation in function to the cost of the energy and the environmental impact for the condition of renewable resources of a great majority of regions of Latin America and the Caribbean.…”
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