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  1. 681

    A multimodal Neuroimaging-Based risk score for mild cognitive impairment by Elaheh Zendehrouh, Mohammad S.E. Sendi, Anees Abrol, Ishaan Batta, Reihaneh Hassanzadeh, Vince D. Calhoun

    Published 2025-01-01
    “…Structural MRI (sMRI) data provided gray matter (GM) segmentation maps, while resting-state functional MRI (fMRI) data yielded functional network connectivity (FNC) matrices via spatially constrained independent component analysis. …”
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    Article
  2. 682

    THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber, Mazen Hasna, Osamah S. Badarneh

    Published 2025-01-01
    “…These results provide important guidelines for optimizing future wireless networks using UAVs and THz frequencies to ensure secure and reliable data transmission in dynamic environments.…”
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  3. 683
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  5. 685

    Temperature-Driven Reliability Analysis of Power Grid Failures: A Weibull Distribution Approach To Outage Prediction and Mitigation by Simon Ahumah Ocansey, Marwan Bikdash

    Published 2025-03-01
    “…We utilised Mean-Time-To-Failure as a crucial metric in reliability analysis, representing the average lifespan of a given asset or component, such as the power grid network. …”
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    Article
  6. 686

    Fracture resistance and failure mode of three esthetic CAD-CAM post and core restorations by Islam T. Fathey, Amir Shoukry Azer, Islam M. Abdelraheem

    Published 2024-05-01
    “…The data was statistically analyzed using One-Way ANOVA test followed by multiple pairwise comparisons using Bonferroni adjusted significance level. …”
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    Article
  7. 687

    Evolving research on periodontal health of abutment teeth in removable partial dentures: A Scopus-based bibliometric analysis by Nor Faharina Abdul Hamid, Farha Ariffin, Fara Azwin Adam, Solehuddin Shuib, Rohana Ahmad

    Published 2025-01-01
    “…Bibliometric analysis and network visualizations were generated using Biblioshiny and VOSviewer software. …”
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    Article
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  10. 690

    A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

    Published 2025-04-01
    “…The present model using FTIR analysis is a potential industrial tool for the quick determination of ash yield in coal and can be further improved by including data from other basins worldwide.…”
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  11. 691

    Small Lesions Evaluation Based on Unsupervised Cluster Analysis of Signal-Intensity Time Courses in Dynamic Breast MRI by A. Meyer-Baese, T. Schlossbauer, O. Lange, A. Wismueller

    Published 2009-01-01
    “…An application of an unsupervised neural network-based computer-aided diagnosis (CAD) system is reported for the detection and characterization of small indeterminate breast lesions, average size 1.1 mm, in dynamic contrast-enhanced MRI. …”
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  12. 692
  13. 693

    Knowledge graph and frontier trends in melanoma-associated ncRNAs: a bibliometric analysis from 2006 to 2023 by Ru Wang, Xiao-yan Zhu, Yi Wang, Yi Wang

    Published 2024-11-01
    “…R Studio (Version 4.3.1), Scimago Graphica (Version 1.0.36), VOSviewer version (1.6.19), and Citespace (6.2.4R) were used to analyze the publications, countries, journals, institutions, authors, keywords, references, and other relevant data and to build collaboration network graphs and co-occurrence network graphs accordingly.ResultsA total of 1,222 articles were retrieved, involving 4,894 authors, 385 journals, 43,220 references, 2413 keywords, and 1,651 institutions in 47 countries. …”
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  14. 694

    Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

    Published 2025-01-01
    “…Because of the privacy concerns about the transaction data, it is essential not to leak it when training prediction models for credit card fraud analysis. …”
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  15. 695

    State-of-Health Estimation for Lithium-Ion Batteries via Incremental Energy Analysis and Hybrid Deep Learning Model by Yan Zhang, Anxiang Wang, Chaolong Zhang, Peng He, Kui Shao, Kaixin Cheng, Yujie Zhou

    Published 2025-06-01
    “…Incremental Energy Analysis (IEA) was conducted on the charging data to extract various incremental energy characteristics. …”
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    Article
  16. 696

    A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

    Published 2025-01-01
    “…This paper introduces a novel deep learning (DL) architecture designed to enhance the processing, feature extraction, and analysis of ECG signals. The proposed model utilizes a hybrid framework that combines standard and dilated convolutional networks, advanced attention mechanisms, and temporal sequence learning to address the complexities of ECG data. …”
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    Article
  17. 697

    Identifying Key References and International Trends in Transparency: A Scientometric Analysis of Scientific Productions over the Last Decade by Yousef Abedi, Nader Naghshineh, Mohammad Reza Vasfi

    Published 2023-12-01
    “…Queries were formulated based on a combination of Title, Author Keywords, and Keyword Plus, refined by the research area of economics, spanning the years 2013 to 2022. Data processing, analysis, and visualization followed scientometric principles, techniques, and concepts. …”
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  18. 698

    An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment by Yuzhuo Cui, Yingqiu Yang, Yuqing Xia, Yan Li, Zhaoxi Feng, Shiya Liu, Guangqi Yuan, Chunli Lv

    Published 2024-11-01
    “…This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.89, an accuracy of 0.91, a mean average precision (mAP) of 0.91, and an F1 score of 0.90, indicating its outstanding performance in complex scenarios. …”
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  19. 699

    Statewide analysis of NHSN antimicrobial use rate and standardized antimicrobial administration ratio (SAAR) 2017–2023, Tennessee by Glodi Mutamba, Callyn Wren, Dipen Patel, Melphine Harriott, Christopher Evans

    Published 2025-01-01
    “…Design: Retrospective analysis of antimicrobial use using data from the National Healthcare Safety Network (NHSN) Antimicrobial Use (AU) Option. …”
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  20. 700