Showing 601 - 620 results of 2,583 for search '(( resources selection function ) OR (( source OR sources) detection functions ))', query time: 0.41s Refine Results
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    Enhanced Separation of Palladium from Nuclear Wastewater by the Sulfur-Rich Functionalized Covalent Organic Framework by Junli Wang, Chen Luo, Wentao Wang, Hui Wang, Yao Liu, Jianwei Li, Taihong Yan

    Published 2025-05-01
    “…The outcomes of this research underscore the immense potential of COFs endowed with resilient linkers and precisely engineered functional groups. Such COFs can adeptly capture metal ions with high selectivity, even in the face of severe environmental conditions, thereby paving the way for the more effective and environmentally responsible management of radioactive waste.…”
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    Article
  3. 603

    Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

    Published 2025-07-01
    “…Abstract Accurate estimation of wind power potential is important for resource assessment to install wind turbine. Weibull distribution functions (WDF) have been widely used and it is a function of wind speed (WS). …”
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    Article
  4. 604

    Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

    Published 2025-03-01
    “…The proposed model will solve this gap by detecting and classifying document-type malware families using script codes, including tags, to write documents and script languages to execute malicious functions. …”
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    The role of the personnel practitioner in the identification and handling of communication problems in organisations by L.D. Coetsee

    Published 2022-11-01
    “… The scope of the personnel practitioners' role has, over the past decade, grown from the traditional activities of inter alia, manpower recruitment, selection and training to include organisational diagnoses and maintaining and improving organisational effectiveness and the quality of work life of employees. …”
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  7. 607

    Using multiple scales of movement to highlight risk–reward strategies of coyotes (Canis latrans) in mixed‐use landscapes by Amy Van Scoyoc, Kendall L. Calhoun, Justin S. Brashares

    Published 2024-08-01
    “…We used resource selection functions and hidden Markov models to test whether coyote selection for anthropogenic and natural features varied by time of day or by behavioral state (resting, foraging, and traveling). …”
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    Article
  8. 608

    Technical progress of construction and safe operation of underground gas storage under complex geological conditions by Qiqi WANYAN, Yun WANG, Dongxu LI, Hongcheng XU, Chun LI, Kang LI, Jingcui LI, Lifeng LI

    Published 2023-10-01
    “…Further, efforts should be made to form an optimal design method of intensive injection and production, and to develop a domestic microseismic monitoring system. Moreover, new functional fields of gas storage should be continuously expanded, so as to achieve high quality and sustainable development of gas storage.…”
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  9. 609

    Edge enhancement of potential field data using the enhanced gradient (EG) filter by Ahmad Alvandi, Korimilli N Durga Prasad, Hazel Deniz Toktay

    Published 2024-08-01
    “…The EG is tested on two dimensional (2D) and three dimensional (3D) synthetic magnetic models with sources buried at different depths and variable properties. …”
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  10. 610

    Solving Volterra-Fredholm integral equations by non-polynomial spline function based on weighted residual methods by S.H. Salim, R.K. Saeed, K.H.F. Jwamer

    Published 2025-03-01
    “…However, the solution’s accuracy significantly relies on the selection of knots, and the method may require extensive computational resources for large systems. …”
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    Leader’s discourse in responding to natural disaster: an appraisal analysis by T. Thyrhaya Zein, T. Syarfina, Muhammad Yusuf

    Published 2024-12-01
    “…The leader’s discourse is utilized as research data, extracted from five selected speeches by Edy Rahmayadi retrieved from mass media official YouTube. …”
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  14. 614

    Bearing-Only Multi-Target Localization Incorporating Waveguide Characteristics for Low Detection Rate Scenarios in Shallow Water by Xiaohan Mei, Bo Zhang, Duo Zhai, Zhaohui Peng

    Published 2024-12-01
    “…A <i>β</i>-S-dimensional assignment (<i>β</i>-SDA) method incorporating waveguide characteristics is proposed to address the BOMTL problem in shallow water with low detection rates. The estimated distance for the warping transformation is derived from the intersection points of the bearing lines, then the autocorrelation function of the broadband beamforming output is transformed using a warping operator to obtain the corresponding characteristic spectrum. …”
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    Correlation between D-dimer and size of middle cerebral artery infarction and its relation to functional outcome by Ramy Taha Alloush, Mohamed Hamdy Ibrahim, Shahinaz Mohamed Helmy, Aya Ebrahim Marwan, Mona Ali Eissa, Adel T. Alloush, Mohamed Khaled Elewa

    Published 2025-05-01
    “…Furthermore, data from neuroimaging, clinical, laboratory, and demographic sources were examined. Additionally, the modified Rankin Scale (mRS) score was used to evaluate the predictive usefulness of plasma D-dimer on a patient's functional outcome after three months. …”
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  17. 617

    SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

    Published 2025-07-01
    “…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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  18. 618

    SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

    Published 2025-06-01
    “…The model incorporates the DWR-C2f module, which enhances multi-scale feature extraction and significantly improves the detection of small-sized subsidence funnels. Additionally, the innovative Inner-WIoU regression loss function improves the localization accuracy of detection boxes while also alleviates the imbalance between hard and easy samples. …”
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