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Showing 781 - 800 results of 2,583 for search '(( sources detection functions\ ) OR (( resource OR resources) selection function\ ))', query time: 0.40s Refine Results
  1. 781

    Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

    Published 2025-01-01
    “…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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  2. 782

    Functional and Genomic Evidence of L-Arginine-Dependent Bacterial Nitric Oxide Synthase Activity in <i>Paenibacillus nitricinens</i> sp. nov. by Diego Saavedra-Tralma, Alexis Gaete, Carolina Merino-Guzmán, Maribel Parada-Ibáñez, Francisco Nájera-de Ferrari, Ignacio Jofré-Fernández

    Published 2025-06-01
    “…Extracellular and intracellular NO measurements under aerobic conditions showed a dose-dependent response, with detectable production at 0.1 µM L-arginine and saturation at 100 µM. …”
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  3. 783

    Effect of Coefficient of Variation on Variable Sampling Scheme Indexed in AQL and AOQL under Measurement Error by Uttama Mishra

    Published 2025-07-01
    “…We present procedures and tables for selecting appropriate variable sampling plans based on specified AQL and AOQL values. …”
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  4. 784

    Infrastructure for the deployment of Large Language Models: challenges and solutions by Tomasz Walkowiak, Bartosz Walkowiak

    Published 2025-07-01
    “…As a result, the ability to perform efficient and scalable inferences on these models is becoming crucial to maximize the utilization of valuable resources such as GPUs and CPUs. This thesis outlines a process for selecting the most effective tools for efficient inference, supported by the results of experiments. …”
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  8. 788

    Microbial composition, assembly, and functional characteristics of generalized and specialized subcommunities under flooded paddy fields: long-term pesticide versus non-pesticide m... by Jing-Wen Wang, Jing-Wen Wang, Cai-Ting Han, Cai-Ting Han, Cai-Ting Han, Dong-Ming Wu, Dong-Ming Wu, Dong-Ming Wu, Wei Zhou, Wei Zhou, Miao Gao, Miao Gao, Yu-Shuang Li

    Published 2025-07-01
    “…Especially for specialists, it had a homogenization selection and diffusional limitation during community succession, because it was characterized by constrained adaptability, narrow ecological niches and high resource specificity. …”
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  9. 789

    Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

    Published 2024-10-01
    “…In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. …”
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  10. 790

    Experiences of midwives in implementing the fifth stage of function in the integrated service posts to prevent anemia in pregnant women during the COVID-19 pandemic in Indonesia by Mien Mien, Siti Hadrayanti Ananda, Diah Indriastuti, Tahiruddin Tahiruddin

    Published 2021-03-01
    “…Conclusion: The implementation of the fifth stage in the integrated service postal service has been carried out maximally utilizing the resources owned by the public health center and the community. …”
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  16. 796

    Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

    Published 2025-04-01
    “…Abstract Denial of Wallet (DoW) attacks are a cyber threat designed to utilize and deplete an organization’s financial resources by generating excessive prices or charges in their cloud computing (CC) and serverless computing platforms. …”
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  17. 797

    Comprehensive Identification of Long Non-coding RNAs in Purified Cell Types from the Brain Reveals Functional LncRNA in OPC Fate Determination. by Xiaomin Dong, Kenian Chen, Raquel Cuevas-Diaz Duran, Yanan You, Steven A Sloan, Ye Zhang, Shan Zong, Qilin Cao, Ben A Barres, Jia Qian Wu

    Published 2015-12-01
    “…In the present study, we performed ab initio transcriptome reconstruction using eight purified cell populations from mouse cortex and detected more than 5000 lncRNAs. Predicting the functions of lncRNAs using cell-type specific data revealed their potential functional roles in Central Nervous System (CNS) development. …”
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  18. 798

    GLIMPSE: An Ultrafaint ≃105 M⊙ Pop III Galaxy Candidate and First Constraints on the Pop III UV Luminosity Function at z ≃ 6–7 by Seiji Fujimoto, Rohan P. Naidu, John Chisholm, Hakim Atek, Ryan Endsley, Vasily Kokorev, Lukas J. Furtak, Richard Pan, Boyuan Liu, Volker Bromm, Alessandra Venditti, Eli Visbal, Richard Sarmento, Andrea Weibel, Pascal A. Oesch, Gabriel Brammer, Daniel Schaerer, Angela Adamo, Danielle A. Berg, Rachel Bezanson, Rychard Bouwens, Iryna Chemerynska, Adélaïde Claeyssens, Miroslava Dessauges-Zavadsky, Anna Frebel, Damien Korber, Ivo Labbe, Rui Marques-Chaves, Jorryt Matthee, Kristen B. W. McQuinn, Julian B. Muñoz, Priyamvada Natarajan, Alberto Saldana-Lopez, Katherine A. Suess, Marta Volonteri, Adi Zitrin

    Published 2025-01-01
    “…These properties indicate the presence of a nascent, metal-deficient young stellar population (<5 Myr) with a stellar mass of ≃10 ^5 M _⊙ . Intriguingly, this source deviates significantly from the extrapolated UV–metallicity relation derived from recent JWST observations at z = 4–10, consistent with UV enhancement by a top-heavy Pop III initial mass function or the presence of an extremely metal-poor active galactic nucleus. …”
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    Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

    Published 2024-12-01
    “…According to the taxonomy, each deep learning model is discussed, encompassing its core functionality and a critical assessment of its suitability for imaging-based SARS-CoV-2 detection. …”
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