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Showing 1,021 - 1,040 results of 1,810 for search '((( sourcess OR resource) detection function ) OR ( sources detection functions ))', query time: 0.31s Refine Results
  1. 1021
  2. 1022

    Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

    Published 2025-07-01
    “…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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    Article
  3. 1023

    Preliminary Design of a GNSS Interference Mapping CubeSat Mission: JamSail by Luis Cormier, Tasneem Yousif, Samuel Thompson, Angel Arcia Gil, Nishanth Pushparaj, Paul Blunt, Chantal Cappelletti

    Published 2024-10-01
    “…First, a flexible, low-cost GNSS interference detection payload capable of characterising and geolocating the sources of radio interference regarding the E1/L1 and E5a/L5 bands will be demonstrated on a global scale. …”
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  4. 1024

    Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

    Published 2024-12-01
    “…These results highlight the invariance of the normalized distribution and the adaptability of the method to different data sources.</p>…”
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    Article
  5. 1025

    THEORY AND PRACTICE OF ASSESSING THE LEVEL OF INSTABILITY OF THE EXTERNAL ENVIRONMENT OF THE ENTERPRISE IN A HYBRID WAR by I. Zapukhliak, A. Shegda, О. Mykytiuk, T. Onysenko, K. Petrenko

    Published 2022-03-01
    “…The article proposes a methodological approach to comprehensive assessment of the level of instability of environmental factors of enterprises, which, unlike others, involves the detection of instability in terms of seven components (socio-demographic, economic, technological, environmental, political, legal, ethical) on four criteria: complexity, interdependence, variability and uncertainty of factors, which makes it possible to determine their sources and nature, and thus form an effective response of the enterprise to change. …”
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    Article
  6. 1026

    Machine learning models for clinical and structural knee osteoarthritis prediction: Recent advancements and future directions by Gabby B. Joseph, Charles E. McCulloch, Michael C. Nevitt, Nancy E. Lane, Sharmila Majumdar, Thomas M. Link

    Published 2025-09-01
    “…These evolving strategies underscore the growing potential of ML to improve the detection of early OA, individualized risk stratification, and personalized interventions in OA clinical care.…”
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  7. 1027
  8. 1028

    Accelerating two-dimensional electronic spectroscopy simulations with a probe qubit protocol by José D. Guimarães, James Lim, Mikhail I. Vasilevskiy, Susana F. Huelga, Martin B. Plenio

    Published 2025-05-01
    “…We evaluate the computational resources necessary for this protocol in detail, demonstrating its function as a dynamic frequency-filtering method through numerical simulations. …”
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  9. 1029
  10. 1030

    Growth and Form Trait Variation Analysis Among Different Clones of Michelia chapensis by Zhixi DENG, Baishuan LYU, Rong HUANG, Limin ZHOU, Runhui WANG, Li CHEN, Zhijun LAI, Jiaqi CHEN, Jie ZHU, Ruping WEI, Huiquan ZHENG

    Published 2025-04-01
    “…Significant (P < 0.05) to highly significant (P < 0.01) phenotypic and genetic correlations were detected among the traits (except between tree height and crown-to-diameter ratio). …”
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  11. 1031

    Preliminary Investigation of GC–MS Profiling and Antibacterial Activities of Different Solvent Extracts From Litchi chinensis Sonn. Seed by Samia Sharmin, Ali Ahsan Muzahid, Md. Mohibul Islam, Mst. Sarmina Yeasmin, Amit Kumar Dey, Md. Jasim Uddin, G. M. Masud Rana, Jaytirmoy Barmon, Safaet Alam, Md. Nurul Huda Bhuiyan, Nazim Uddin Ahmed

    Published 2025-01-01
    “…Eventually, comprehending the potential biological functions of the detected compounds is explored. GC–MS analysis revealed a diverse array of chemical compounds, with 34, 35, and 25 compounds identified in the n-hexane, n-hexane–chloroform (2:1), and methanol extracts, respectively. …”
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  12. 1032
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  16. 1036

    Sexual dysfunction in anxiety disorders by M. I. Yagubov, I. Yu. Kan, N. V. Dobaeva, I. R. Ayriyants

    Published 2024-12-01
    “…If sexual disorders are detected in patients with anxiety disorders, taking into account the clinical situation, psychotropic drugs with no or minimal negative effect on sexual function are prescribed, if possible. …”
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  17. 1037

    Origami-Inspired Biosensors: Exploring Diverse Applications and Techniques for Shape-Changing Sensor Platforms by Shikha Patil, Shariq Suleman, Nigar Anzar, Jagriti Narang, Roberto Pilloton, Suna Timur, Emine Guler Celik, Chandra S. Pundir, Sudheesh K. Shukla

    Published 2024-12-01
    “…Paper and biological substrates like DNA have been integrated with origami techniques to develop biosensors with enhanced functionality. The incorporation of aptamer origami into both paper and DNA biosensors further increases sensitivity and specificity for target detection. …”
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  18. 1038

    Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

    Published 2024-04-01
    “…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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  19. 1039

    Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

    Published 2025-05-01
    “…Abstract Background Rice is a critical global food source, but it faces challenges due to nutritional deficiencies and the pressures of a growing population. …”
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  20. 1040