Showing 721 - 740 results of 3,583 for search '((\ sources detection functions\ ) OR (( source OR resources) selection function\ ))', query time: 0.43s Refine Results
  1. 721

    Acoustic Emission as a Method for Analyzing Changes and Detecting Damage in Composite Materials During Loading by Katarzyna PANASIUK, Krzysztof DUDZIK, Grzegorz HAJDUKIEWICZ

    Published 2021-08-01
    “…The signal obtained from the sensor was then further processed and used to draw up diagrams of the AE hits, amplitude, root mean square of the AE source signal (RMS) and duration in the function of time. …”
    Get full text
    Article
  2. 722
  3. 723

    Detection of Greenhouse and Typical Rural Buildings with Efficient Weighted YOLOv8 in Hebei Province, China by Bingkun Wang, Zhiyuan Liu, Jiangbo Xi, Siyan Gao, Ming Cong, Haixing Shang

    Published 2025-05-01
    “…However, in rural and mountainous areas, the resolution and accessibility of remote sensing satellite images from a single source are poor, making it difficult to detect greenhouses and rural buildings effectively and automatically. …”
    Get full text
    Article
  4. 724

    LMGD: Log-Metric Combined Microservice Anomaly Detection Through Graph-Based Deep Learning by Xu Liu, Yuewen Liu, Miaomiao Wei, Peng Xu

    Published 2024-01-01
    “…Therefore, there is an urgent need for fast and accurate anomaly detection capabilities. However, the existing microservice anomaly detection methods do not pay attention to the multi-source data of the microservice system and thus have low accuracy. …”
    Get full text
    Article
  5. 725

    Evaluation of a coastal acoustic buoy for cetacean detections, bearing accuracy and exclusion zone monitoring by Kaitlin J. Palmer, Sam Tabbutt, Douglas Gillespie, Jesse Turner, Paul King, Dominic Tollit, Jessica Thompson, Jason Wood

    Published 2022-11-01
    “…Field trials indicated maximum detection ranges from 4–7.3 km depending on source and ambient noise levels. …”
    Get full text
    Article
  6. 726

    AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

    Published 2025-01-01
    “…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
    Get full text
    Article
  7. 727

    Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability by Vincent Zibi Mohale, Ibidun Christiana Obagbuwa

    Published 2025-05-01
    “…Machine Learning (ML)-based Intrusion Detection Systems (IDS) are integral to securing modern IoT networks but often suffer from a lack of transparency, functioning as “black boxes” with opaque decision-making processes. …”
    Get full text
    Article
  8. 728
  9. 729

    Multimodal imaging analysis and structure-function correlation in patients exposed to pentosan polysulfate sodium by Sandra Hoyek, Eleni Konstantinou, Francesco Romano, Darren Chen, Celine Chaaya, Magdalena G. Krzystolik, Daniel Hu, Rachel Huckfeldt, Demetrios G. Vavvas, Leo A. Kim, Jason Lee, Elise De, John B. Miller, Nimesh A. Patel

    Published 2025-07-01
    “…Purpose: To study the anatomic and functional retinal changes in patients exposed to pentosan polysulfate (PPS) using multimodal imaging and mesopic microperimetry. …”
    Get full text
    Article
  10. 730
  11. 731

    PRODUCTIVITY AND RESOURCE USE EFFICIENCY AMONG BENEFICIARIES OF E - WALLET INPUT DISTRIBUTION SYSTEM COMPONENT OF GROWTH ENHANCEMENT SUPPORT SCHEME (GESS) IN ADAMAWA STATE, NIGERIA by Dengle Yuniyus GIROH, Apagu Dawa MEDUGU, Dauna YAKUBU

    Published 2019-01-01
    “…Result of the socio-economic analysis revealed that respondents were small scale farmers who were young with mean family size of five people and with mean experience of 7 years. Production function analysis showed that the Cobb-Douglas functional form was selected as the lead equation and showed that the coefficient of multiple determination (R2) of 0.7781 implied that about 77.81% of the variations in total output of respondents were explained by production factors included in the model. …”
    Get full text
    Article
  12. 732
  13. 733
  14. 734
  15. 735

    Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

    Published 2025-05-01
    “…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
    Get full text
    Article
  16. 736
  17. 737

    Advancements in Nanostructured Functional Constituent Materials for Gas Sensing Applications: A Comprehensive Review by Ivana Panžić, Arijeta Bafti, Floren Radovanović-Perić, Davor Gašparić, Zhen Shi, Arie Borenstein, Vilko Mandić

    Published 2025-02-01
    “…By providing a comprehensive and up-to-date analysis, this review serves as a valuable resource for researchers and engineers, offering insights that can drive the next generation of high-performance, reliable, and selective gas sensors.…”
    Get full text
    Article
  18. 738

    Dynamic scheduling method of service function chain executors based on the mimic defense architecture by Chuanhuang LI, Jingjing TANG, Yangting CHEN, Rui LEI, Chao CHEN, Weiming WANG

    Published 2022-04-01
    “…Faced with the problem that static and lagging traditional defense technologies cannot effectively deal with new network attacks, according to the theory of mimetic security defense, a defense architecture of mimic service function chain (MSFC) based on the data forwarding level was proposed, and an execution dynamic scheduling method based on the decision feedback was further proposed.The method took the abnormal executor information fed back by the decision maker, the heterogeneity of executors and the actual load of the system as the scheduling influencing factors, so that the scheduling method can be adjusted adaptively according to the actual changes of the network.In addition, the scheduling method used decision feedback to adjust the scheduling time, so as to achieve the best balance between system cost and security, and reduce the resource overhead of the system.Simulation results showed that the scheduling method can select a set of highly heterogeneous actuators that better meet the current network requirements on the basis of balancing the system cost and security, so as to improve the security and reliability of the system.…”
    Get full text
    Article
  19. 739

    IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

    Published 2024-04-01
    “…The system goes beyond traditional LMS functionalities by providing suggestions to enhance and diversify lessons. …”
    Get full text
    Article
  20. 740

    Identification of Genomic Variants and Candidate Genes for Reproductive Traits and Growth Traits in Pishan Red Sheep Using Whole-Genome Resequencing by Maimaitijiang Muhetapa, Mengting Zhu, Aladaer Qi, Sulaiman Yiming

    Published 2025-05-01
    “…In this study, we performed whole-genome resequencing of Pishan red sheep, generating 9084.81 Gb of raw data and identifying 53,968,686 high-quality single-nucleotide polymorphisms (SNPs). Through selective sweep analysis, 92 genomic regions under selection were detected, containing 90 positional candidate genes significantly associated with growth, reproduction, and immune functions. …”
    Get full text
    Article