Showing 381 - 400 results of 907 for search '(( resourcesssss detection functions ) OR (( source OR sources) detection function ))', query time: 0.21s Refine Results
  1. 381

    A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

    Published 2025-01-01
    “…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. …”
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    Article
  2. 382

    Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

    Published 2020-11-01
    “…Aiming at the problem of limited fault diagnosis performance caused by a single source of historical operating data for wind turbine bearings and a small amount of data, a small sample fault diagnosis method of bearings based on data generation and transfer learning is proposed. …”
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  3. 383

    Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

    Published 2024-01-01
    “…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. …”
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    Article
  4. 384

    Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

    Published 2025-04-01
    “…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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  5. 385

    Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

    Published 2025-06-01
    “…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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  6. 386

    Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

    Published 2015-06-01
    “…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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  7. 387

    Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

    Published 2025-03-01
    “…Accurately determining the exposure time to an infectious pathogen, together with the corresponding incubation period, is vital for identifying infection sources and implementing targeted public health interventions. …”
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  8. 388

    Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

    Published 2023-01-01
    “…Second, an accelerated geometrical optics and physical optics algorithm using the light source function (GO-PO&#x002F;LSF) is proposed, which uses the light source function to realize the visibility judgment of surfaces and greatly reduces the computation time. …”
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    Article
  9. 389

    Sigma Delta Modulation Controller and Associated Cybersecurity Issues with Battery Energy Storage Integrated with PV-Based Microgrid by Syeda Afra Saiara, Mohd. Hasan Ali

    Published 2024-12-01
    “…Battery energy storage systems (BESSs) play a crucial role in integrating renewable energy sources into microgrids. However, robust BESS controllers are needed to carry out this function properly. …”
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  10. 390

    Energy filtering enables macromolecular MicroED data at sub-atomic resolution by Max T. B. Clabbers, Johan Hattne, Michael W. Martynowycz, Tamir Gonen

    Published 2025-03-01
    “…While direct electron detection essentially eliminates the read-out noise during MicroED data collection, other sources of noise remain and limit the measurement of faint high-resolution reflections. …”
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  11. 391

    Specific performance of IDT edge fingers by E. DANICKI, T, GAFKA

    Published 2014-05-01
    “…The theory shows that the edge strips of the system works differently as compared with these positioned inside the system. The familiar δ-function model however, can still be applied provided that the δ-sources of SAW are properly scaled and shifted from their position at the centres of the strips. …”
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  12. 392

    Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

    Published 2024-12-01
    “…The trained CNN model achieved high accuracy, with both precision and recall exceeding 97%, and correctly detected 96% of distant earthquakes. The probability of tectonic tremor as a function of the signal-to-noise ratio (SNR) increased steeply from 10 to 90% at an SNR of 4. …”
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  13. 393

    High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

    Published 2025-05-01
    “…In view of the poor identification of the effective data in online monitoring of high-voltage capacitor voltage transformer (CVT), this paper proposes a method for effective data identification based on the analysis of data correlation coefficients, with utilization of the data characteristics that multiple online monitoring data sources exhibit linear correlation. To address the prevalent problem in current high-voltage CVT fault diagnosis, such as limited information sources, poor accuracy, and significant interference in partial discharge devices leading to compromised fault signal detection and accuracy, a fault diagnosis method based on multi-dimensional information fusion is proposed. …”
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  14. 394

    Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

    Published 2020-01-01
    “…Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. …”
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  15. 395

    Research on the Non-Uniform Temperature Field Distribution of Q355B Steel for Grain Storage under Fire Conditions by Min Yu, Zhen Cheng, Rui-Bin Gou, Nian Wang

    Published 2024-12-01
    “…The peak temperature Tmax and the heating rate vr at the fire source points of each test plate increased linearly with the increase of heat input Q at the fire source. …”
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  16. 396

    Secrecy Outage Analysis of Mixed RF-FSO Systems With Channel Imperfection by Hongjiang Lei, Haolun Luo, Ki-Hong Park, Zhi Ren, Gaofeng Pan, Mohamed-Slim Alouini

    Published 2018-01-01
    “…First, the cumulative distribution function and probability density function of FSO links with pointing error and two different detection technologies are derived. …”
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  17. 397

    Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

    Published 2023-05-01
    “…In this paper, we present a soil methane emissions suppression approach using swarms of unmanned aerial vehicles (UAVs), by spreading biochar mulch on top of the detected methane emissions area/source. Soil microorganisms can produce methane and release it into the atmosphere causing climate change such as global warming. …”
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  18. 398

    Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

    Published 2025-07-01
    “…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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  19. 399

    pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

    Published 2025-06-01
    “…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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  20. 400

    Examination and Tracing of Stable Isotopes of Carbon and Hydrogen in Diesel Oil from Different Regions by Han-yu ZHANG, Zhao-wei JIE, Han-yang ZHENG, Xiao-han ZHU, Wei-ya XIE, Can HU, Zhan-fang LIU, Hong-ling GUO, Jun ZHU, Hong-cheng MEI

    Published 2025-03-01
    “…Diesel is often used as an accelerant in arson cases, so identifying its source is crucial to the investigation. Stable isotope analysis is a method for detecting molecular elements at the element level. …”
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