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Showing 541 - 560 results of 2,295 for search '((( resourcessssssss OR resources) detection functions ) OR ( source selection functions ))', query time: 0.31s Refine Results
  1. 541

    Structural and functional properties of bacterial communities associated with rootless duckweed (Wolffia globosa) and their effect on the Wolffia growth by Yuparat Saimee, Kousuke Kuwai, Hidehiro Ishizawa, Daisuke Inoue, Arinthip Thamchaipenet, Michihiko Ike

    Published 2025-08-01
    “…However, the microbiomes and functional properties associated with Wolffia across a wide range of microbial sources remain largely unexamined. …”
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    Article
  2. 542

    The somonym component baş ‘head’ in the phraseology and proverbs of the Dobrujan Tatars and the Volga Tatars (functional-semantic analysis) by Fyaridya I. Tagirova, Ilgamiya I. Sabitova

    Published 2025-06-01
    “…The article analyzes the functional and semantic features of the existence of the component-somonym "baş" (head) in the phraseology and proverbs of the Dobrudzha Tatars and the Volga Tatars in a comparative aspect. …”
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    Article
  3. 543
  4. 544

    The Functional State of the Myocardium in Patients with Ischemic Heart Disease, Diabetes Mellitus Type 2 and Cardiac Insufficiency by Horb Yu., Strona V., Komir I.

    Published 2020-04-01
    “…The sources, which highlight the clinical and pathogenetic features of the functional status of the myocardium in patients with type 2 diabetes, were selected. …”
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    Article
  5. 545
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  7. 547

    Highly effective ionic liquids for biodiesel production from waste vegetable oils by Fathy A. Yassin, Fathy Y. El Kady, Hoda S. Ahmed, Latifa K. Mohamed, Seham A. Shaban, Ahmed K. Elfadaly

    Published 2015-03-01
    “…As conventional energy sources deplete, the need for developing alternative energy resources which are environment friendly becomes more imperative. …”
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    Article
  8. 548
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  10. 550

    Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

    Published 2025-01-01
    “…Deep learning (DL) models show strong potential in detecting DoW attacks, where attackers disrupt services by exploiting system resources. …”
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    Article
  11. 551

    Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

    Published 2025-05-01
    “…Hyperspectral imagery from drones are excellent sources of high-resolution plant-level data that helps in efficient crop identification for smart agriculture practices. …”
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    Article
  12. 552

    Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization by Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami

    Published 2025-03-01
    “…Methods This research addresses the need for robust intrusion detection systems (IDS) tailored to the unique challenges of securing public transportation within smart cities. …”
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    Article
  13. 553

    RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

    Published 2025-01-01
    “…The accuracy of current apple picking detection algorithms is still limited when the distribution is dense and occlusion exists, and there is a significant challenge in deploying current high accuracy detection models on edge devices with limited computational resources. …”
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    Article
  14. 554

    Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

    Published 2025-04-01
    “…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
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    Article
  15. 555
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    Relationship between early neurological function and motor skills in Brazilian preterm infants: a cross-sectional study by Wendy Gabrielle Franca de Sousa, Ana Luiza Righetto Greco, Maja de Medeiros, Alicia Jane Spittle, Cibelle Kayenne Roberto Formiga

    Published 2025-08-01
    “…Thus, monitoring their development is needed for early detection and targeted intervention. This study aimed to assess the correlation between neurological function and motor skills in preterm infants from 2 to 6 months of corrected age after hospital discharge in an outpatient follow-up program. …”
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    Article
  18. 558
  19. 559

    Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection by Yang Tian, Lisa Kelso, Yiting Xiao, Chaitanya Pallerla, Ramesh Bist, Siavash Mahmoudi, Ziyu Liu, Haizheng Xiong, Jeyam Subbiah, Terry Howell, Dongyi Wang

    Published 2025-01-01
    “…By enabling timely and accurate detection of contaminants, this technology has the potential to significantly impact public health by reducing the incidence of foodborne illnesses, safeguarding environmental resources, and enhancing overall safety and health outcomes.…”
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    Article
  20. 560

    Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

    Published 2025-06-01
    “…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
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    Article