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  1. 2721

    High-precision symbol timing algorithm for specific emitter identification by Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG

    Published 2018-08-01
    “…The existing symbol timing algorithms have the problems that the method of delay estimation is improper and the calculation precision of the interpolation is insufficient for the pretreatment of specific emitter identification.A high-precision symbol timing algorithm was proposed to solve these problems.Aiming at the former problem,a two-step estimation method was adopted,rough estimation of delay was firstly obtained by the forward algorithm,and then the accurate value was acquired through local search with the demodulated symbols.For the latter problem,a window-based approach was used to design an interpolating filter which could optimize the anti-aliasing characteristics and improve the calculation accuracy.Simulation results show that the proposed algorithm can effectively solve the above problems and achieve better recognition results in the radiation source recognition compared with the conventional symbol timing algorithm.…”
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  2. 2722

    High-precision symbol timing algorithm for specific emitter identification by Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG

    Published 2018-08-01
    “…The existing symbol timing algorithms have the problems that the method of delay estimation is improper and the calculation precision of the interpolation is insufficient for the pretreatment of specific emitter identification.A high-precision symbol timing algorithm was proposed to solve these problems.Aiming at the former problem,a two-step estimation method was adopted,rough estimation of delay was firstly obtained by the forward algorithm,and then the accurate value was acquired through local search with the demodulated symbols.For the latter problem,a window-based approach was used to design an interpolating filter which could optimize the anti-aliasing characteristics and improve the calculation accuracy.Simulation results show that the proposed algorithm can effectively solve the above problems and achieve better recognition results in the radiation source recognition compared with the conventional symbol timing algorithm.…”
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    Article
  3. 2723

    Model Calculation of Enhanced Light Absorption Efficiency in Two-Dimensional Photonic Crystal Phosphor Films by Taehun Kim, Sanghoon Lee, Kyungtaek Min

    Published 2024-12-01
    “…A numerical estimation shows that the optimized 2D PhC QD film can enhance the light absorption by up to 4.2 times with a monochromatic source and by up to 1.8 times with a broadband (FWHM~30 nm) source compared to a flat-type reference QD film.…”
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  4. 2724

    DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

    Published 2022-01-01
    “…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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  5. 2725

    Image Processing Technique for Enhanced Combustion Efficiency of Wood Pellets by Thomas Gasperini, Andrea Pizzi, Lucia Olivi, Giuseppe Toscano, Alessio Ilari, Daniele Duca

    Published 2024-12-01
    “…This paper, whilst evaluating the effect of pellet length on combustion efficiency, proposes a pending-patented dimensional image processing method (DIP) for assessing pellet length. DIP allows the dimensional data of grouped and stacked pellets to be obtained by exploiting the shadows produced by pellets when exposed to a light source, assuming that different-sized pellets produce different shadows. …”
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  6. 2726

    Evaluation and improvement of the vertical accuracy of the global open DEM under forest environment by Jiapeng Huang, Xiaozhu Yang

    Published 2025-12-01
    “…Canopy height exhibits a higher correlation with the estimated accuracy of forest understory terrain. Finally, optimizing FABDEM based on the mathematical interpolation method using GEDI02_A reduces the RMSE from 8.46 m to 6.83 m. …”
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  7. 2727

    Stray inductance influence on switching waveform design with gate charge control for power MOSFETs by Hirotaka Oomori, Ichiro Omura

    Published 2025-03-01
    “…This paper experimentally investigates the influence of stray inductance on the method since the stray inductance cannot be completely eliminated in practical power converters.A simple and wide-band voltage control current source circuit was built to generate a 100 ns-wide gate charge pulse for measuring the voltage and current responses. …”
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  8. 2728

    Hybridization in Metal Wire Additive Manufacturing: A Case Study of an Impeller by Shahu R. Karade, Siddhartha Siddhartha, Neel Kamal Gupta, Ganesan G, K. P. Karunakaran, Henning Zeidler

    Published 2025-01-01
    “…This demonstrates a more efficient, precise, and cost-effective method to optimize metal wire AM for producing complex metal components, advancing capabilities and applications.…”
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  9. 2729

    Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence by Siyang Liu, Nanliang Shan, Xianqiang Bao, Xinghua Xu

    Published 2025-08-01
    “…This architecture integrates federated learning for privacy protection, leverages the advantages of distributed model training, and utilizes edge computing’s near-source data processing capabilities. Additionally, this paper proposes a federated edge intelligence method (DSIA-FEI), which comprises two key components. …”
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  10. 2730

    Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

    Published 2025-01-01
    “…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. Traditional data augmentation methods offer limited improvements in model performance, while generative data augmentation methods are plagued by difficulties in training generative models, susceptibility to artifacts, and the need for re-labeling. …”
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  11. 2731

    Multi-agent based DRL with federated learning for data transmission in mobile sensor networks by M. Senthamilselvi, C. Ranjeeth Kumar

    Published 2025-07-01
    “…A plethora of routing options have been suggested to tackle this problem. The proposed method distributed and designed to run on a network of interconnected routers. …”
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  12. 2732

    A robust multi-scale clustering framework for single-cell RNA-seq data analysis by Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang

    Published 2025-05-01
    “…To address these challenges, we introduce a new method, single-cell Multi-Scale Clustering Framework (scMSCF), which combines multi-dimensional PCA for dimensionality reduction, K-means clustering, and a weighted ensemble meta-clustering approach, enhanced by a self-attention-driven Transformer model to optimize clustering performance. scMSCF constructs an initial clustering framework using a multi-layer dimensionality reduction strategy to establish a robust consensus on clustering structure. …”
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  13. 2733

    Comparative study of drying techniques on the anti-inflammatory content of bitter leaf simplicia (Vernonia amygdalina Del.) by Yulianida Tamala, Moh. Yani, Illah Sailah, Ernie Halimatushadyah, Trina Ekawati Tallei

    Published 2025-03-01
    “…The IC₅₀ values for the three drying methods were determined to be 25.33 ppm, 61.05 ppm, and 114.25 ppm, respectively. …”
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  14. 2734

    Investigating the impact of variety of e-retail delivery service options on customer retention by Soheila Zarinjoy alvar, shahin raz, Ali Tavakolifar

    Published 2024-09-01
    “…The main advantage of the proposed strategy, compared to previous strategies, is its simplicity and easy implementation, and at the same time it reflects the optimal solution. Research methodology The current research is applicable in terms of purpose, a survey research in terms of the method of data collection, cross-sectional in terms of time, and causal-descriptive in terms of nature and method. …”
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  15. 2735

    Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

    Published 2025-07-01
    “…Considering that the random initialization method of scout bees discarded the previous search experience, and the search equation of employed and onlooker bees was singular, a neighborhood search equation was designed for scout bees. …”
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  16. 2736

    Construction of political education in learning Pancasila and citizenship in increasing students' political awareness by M Ari Kuwoto, Rini Sudarmanti, Atika Budhi Utami

    Published 2024-09-01
    “…The data validity check method uses source triangulation. Then, the data analysis method using Miles and Huberman's model includes data reduction, data presentation, and conclusion. …”
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  17. 2737

    Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance by Shuai Chen, Miao Gao, Peiru Shi, Xi Zeng, Anmin Zhang

    Published 2025-02-01
    “…Second, to extract the visual trajectory of the target ship without a reference object, an absolute position estimation method based on binocular stereo vision attitude information was proposed. …”
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  18. 2738

    Muscovite based polyaniline nanocomposite as effective adsorbent for removal of Cd2+ and Pb2+ ions from liquid waste by M. Nageeb Rashed, A. S. A. Arifien, F. A. El-Dowy

    Published 2025-06-01
    “…This study ended with the cost- effective preparation of PANI/Msc nanocomposite that offers a promising solution for the removal of heavy metals from contaminated water source. In addition, the capability study regarding Pb2+ and Cd2+ion adsorption over the PANI/Msc nanocomposite clearly revealed that our method is suitable for large- scale application.…”
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  19. 2739

    A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process by Vladimir Orlyanchik, Jeffrey Kimmell, Zackary Snow, Amir Ziabari, Vincent Paquit

    Published 2025-02-01
    “…This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. …”
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  20. 2740

    Determination of Relative Contents of Isoflavones in Radix Puerariae Extract by Mass Spectrometry Guided High Performance Liquid Chromatography Using Quantitative Analysis of Multi... by NONG Jinmei, HAN Mo, WU Siqing, LI Libing, DENG Houqin

    Published 2025-04-01
    “…This study developed a method for the qualitative and quantitative analysis of isoflavones in Radix Puerariae extract using mass spectrometry (MS) and high performance liquid chromatography (HPLC). …”
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    Article