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  1. 681
  2. 682

    Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

    Published 2024-01-01
    “…However, its availability has been restricted, especially in contexts with limited resources, due to the cost associated with conventional ECG signal processing equipment. The importance of ECG signal processing classification for improving early diagnoses in clinical and remote monitoring contexts is highlighted here. …”
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  3. 683
  4. 684

    Designing a classroom learning in a university using the electronic learning course by Irina Anzaurovna Udzhukhu, Ruslan Kazbekovich Meshvez

    Published 2023-04-01
    “…The coronavirus pandemic that has taken over the whole world has changed the vector of education from the traditional form of its organization to distance and hybrid, thus actualizing the demand for e-learning content. …”
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  5. 685

    Artificial intelligence for severity triage based on conversations in an emergency department in Korea by Jae Won Seo, Sung-Joon Park, Young Jae Kim, Jung-Youn Kim, Kwang Gi Kim, Young-Hoon Yoon

    Published 2025-05-01
    “…This study aimed to enhance the quality of emergency services by automatically categorizing the severity levels of incoming patients using AI-powered natural language processing (NLP) algorithms to analyze conversations between medical staff and patients. …”
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  6. 686

    Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

    Published 2025-12-01
    “…While existing research focuses extensively on white rice classification with readily available datasets, automated classification of red rice varieties remains largely unexplored with no publicly available datasets, creating a significant research gap in agricultural image processing applications. This research presents a study on red rice classification, a relatively unexplored area with no prior publicly available datasets or focused investigations on red rice variety identification. …”
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  7. 687
  8. 688

    Anatomy of vector-like bottom-quark models in the alignment limit of the 2-Higgs doublet model type-II by A. Arhrib, R. Benbrik, M. Boukidi, S. Moretti

    Published 2024-10-01
    “…Abstract Expanding upon our ongoing investigation of Vector-Like Quark (VLQ) phenomenology within a 2-Higgs Doublet Model (2HDM) framework, in this paper, we complement a previous one dedicated to Vector-Like Top-quarks (VLTs) by studying Vector-Like Bottom-quarks (VLBs), specifically focusing on their behavior in the alignment limit of a Type-II Yukawa structure. …”
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  9. 689

    Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

    Published 2020-05-01
    “…The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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  10. 690

    COMPARISON OF SUPPORT VECTOR MACHINE BASED ON FASTTEXT WITHOUT AND WITH FIREFLY OPTIMIZATION PARAMETERS FOR DISASTER SENTIMENT ANALYSIS IN INDONESIA by Fadilah Amirul Adhel, Sri Astuti Thamrin, Siswanto Siswanto

    Published 2024-08-01
    “…Sentiment analysis is a process for analyzing opinions, sentiments, assessments, and emotions from someone's statements regarding a domain or is also a process for entering and processing data in the form of text. …”
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  11. 691
  12. 692

    Co-produced decentralised surveys as a trustworthy vector to put employees’ well-being at the core of companies’ performance by Adèle Bréart De Boisanger, Wendy Sims-Schouten, Francois Sicard, Francois Sicard

    Published 2025-03-01
    “…While blockchain can function as a confidence machine for data processing and management, it does not inherently address the equally important cultural element of trust. …”
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  13. 693

    PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

    Published 2025-01-01
    “…Roadheaders play a crucial role in the excavation processes of tunnels and mines, offering efficient and precise cutting capabilities. …”
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  14. 694

    IDENTIFICATION OF SIGNALS IN Multi-Static CROSS-CORRELATION PASSIVE RadarS by A. A. Dmitrenko, S. Y. Sedushev

    Published 2019-06-01
    “…The algorithm of stochastic signals processing in cross-correlation passive radars is synthesized. …”
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  15. 695

    A method to include exclusive heavy vector-meson production data at small x in global parton analyses by C. A. Flett, A. D. Martin, M. G. Ryskin, T. Teubner

    Published 2025-04-01
    “…We further study the constraints from the corresponding $$\Upsilon $$ Υ production process. We finish by discussing the possible effects at next-to-next-to-leading order (NNLO) through incorporation of a K factor for the exclusive heavy vector-meson coefficient function at NLO.…”
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  16. 696

    Investigation of a Multiflow Ejector Equipped with Variable-Length Links for Thrust Vector Control Using Euler’s Methodology by Yuri A. Sazonov, Mikhail A. Mokhov, Anton V. Bondarenko, Victoria V. Voronova, Khoren A. Tumanyan, Egor I. Konyushkov

    Published 2024-11-01
    “…The coordinated operation of multiple jet devices enhances the efficiency of technological processes and thrust vector control systems, enabling the resolution of various practical challenges. …”
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  17. 697

    Pantothenate regulates feeding and reproduction in the malaria vector Anopheles stephensi, with patterns dependent on supplementation scheme and parental nutrition by Megan E. Dobson, Hannah L. Kaylor, Sydney L. Pruett, Jessica Brady, Kayla Savoie-Penton, Jun Isoe, Yared Debebe, Michael A. Riehle, Shirley Luckhart

    Published 2025-08-01
    “…Abstract Background Pantothenate (Pan), or vitamin B5, is the substrate for biosynthesis of coenzyme A (CoA), an essential cellular cofactor involved in many metabolic processes. Our previous studies demonstrated that Pan availability influences a broad range of traits across multiple species, including malaria parasite development in the mosquito Anopheles stephensi. …”
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  18. 698

    Acoustic Methods in Identifying Symptoms of Emotional States by Zuzanna PIĄTEK, Maciej KŁACZYŃSKI

    Published 2021-06-01
    “…After the parametrization process, data clustering was performed to allows for the grouping of feature vectors for speakers into greater collections which imitate specific emotional states. …”
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  19. 699

    Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method by Yukun Bao, Tao Xiong, Zhongyi Hu

    Published 2012-01-01
    “…With regard to the nonlinearity and irregularity along with implicit seasonality and trend in the context of air passenger traffic forecasting, this study proposes an ensemble empirical mode decomposition (EEMD) based support vector machines (SVMs) modeling framework incorporating a slope-based method to restrain the end effect issue occurring during the shifting process of EEMD, which is abbreviated as EEMD-Slope-SVMs. …”
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  20. 700

    Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

    Published 2025-05-01
    “…For a nitrogen oxide gas sensor, based on its detection principle, temperature and humidity will have a greater impact on the chemical reaction in the detection process, so a corresponding temperature and humidity compensation method is required to improve the measurement accuracy of the sensor. …”
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