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    Quadripartitioned Neutrosophic Soft Pre - Open And Pre - Closed Sets by S. Ramesh Kumar, Dr. A. Stanis Arul Mary

    Published 2025-05-01
    “…Furthermore, the results provide a valuable foundation for future research aimed at developing more efficient and reliable statistical estimators for a variety of practical applications. …”
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    An Integral of Fox’s H-Functions With Application to the Performance of Hybrid FSO/RF Systems Over Generalized Fading Channels by Wagdy Ameen Alathwary, Essam Saleh Altubaishi

    Published 2025-01-01
    “…This difficulty pushed the researchers to use approximation methods to derive the performance metrics, such as finite series approximation which is not always computationally effective. …”
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  7. 2387

    Decoding legal processes: AI-driven system to streamline processing of the criminal records in Moroccan courts by Taoufiq El Moussaoui, Chakir Loqman, Jaouad Boumhidi

    Published 2025-03-01
    “…The legal entities extractor achieves 98.42%, 93.72%, and 93.5% F-scores on the legal entities corpus, the ANERCorp dataset, and the CONLL2003 respectively, outperforming prior research. These results highlight the potential of the system in improving the operation of feeding the criminal records database. …”
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    Metrological aspects of acoustic emission conditions under hydrogen peroxide decomposition monitoring by Vladimir L. Gaponov, Dmitry M. Kuznetsov, Maria S. Zakharova

    Published 2016-03-01
    “…The acoustic emission data show that instrumental and methodological errors of the AE method in general can be significant in case of the counter conditions, and this fact can be a benchmark for future research.…”
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  10. 2390

    Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

    Published 2025-02-01
    “…Study regions: The study area encompasses two distinct sub-basins within the High Atlas Mountains: Oukaimeden in the Rheraya and Tichki in the Mgoun Valley. Study focus: The research integrates remote sensing data, particularly the Normalized-Difference Snow Index (NDSI) from the MODIS Sensor, with machine learning (ML) and deep learning (DL) models to predict daily snow depth (DSD) at a local scale. …”
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  11. 2391

    Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

    Published 2025-07-01
    “…In addition, the use of various fine-tuning models can realize the tasks of generating error control and drawing style migration.ConclusionThe approach proposed in the research has some limitations. …”
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  12. 2392

    Reversible Watermarking for Electrocardiogram Protection by Pavel Andreev, Anna Denisova, Victor Fedoseev

    Published 2025-03-01
    “…We compare different kinds of prediction and compression methods used in the studied methods and provide a watermark capacity comparison for different methods’ implementations. The research results will help in watermarking method selection in practice.…”
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    Adaptive Sliding Window Decoding of Spatially Coupled Low-Density Parity-Check Codes: Algorithms and Energy Efficient Implementations by Oliver Griebel, Bilal Hammoud, Norbert Wehn

    Published 2024-01-01
    “…In contrast to the well-elaborated literature on energy-efficient decoder implementations of classical LDPC block codes (LDPC-BCs), there is little research on the aforementioned challenges for SC-LDPC codes. …”
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    Controlling agricultural product price volatility: An empirical analysis from Cameroon by Ivette Gnitedem Keubeng, George Achu Muluh, Vatis Christian Kemezang

    Published 2025-04-01
    “…Motivated by a significant impact of price volatility on food security and economic stability in Cameroon, this study aims to understand the factors influencing agricultural product price volatility (APPV) and formulate effective policies for mitigating its negative impact and promoting sustainable economic growth. Specifically, this research used the autoregressive distributed lag-error correction model (ARDL-ECM) to analyse the impact of agricultural productivity, agricultural product imports, population, temperature variation, gross domestic product (GDP) per capita, and government expenditure on APPV based on the annual data from 2000 to 2021. …”
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