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  1. 3281
  2. 3282

    A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs by Haiqin Xu, Shahzada Ali Hassan, Waseem Haider, Youchao Sun, Xiaojun Yu

    Published 2025-03-01
    “…The FS-VMD method works by extracting and shifting the fundamental frequency of the EEG signal to a lower frequency range, followed by an iterative decomposition process that enhances signal clarity and reduces mode aliasing. …”
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  3. 3283

    Evaluating the Influence of Carbon Fiber on the Mechanical Characteristics and Electrical Conductivity of Roller-Compacted Concrete Containing Waste Ceramic Aggregates Exposed to F... by Danial Nasr, Rezvan Babagoli, Mohsen Rezaei, Arsalan Andarz

    Published 2023-01-01
    “…Besides, in this study, kernelized support vector regression (KSVR) and radial bias function (RBF) neural network models were proposed to estimate the indirect tensile strength (ITS) and compressive strength (CS) values. …”
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  4. 3284

    The method of increasing the efficiency of the man-machine system functioning by improving the quality of decision support system software by О.В. Турінський, М.А. Павленко, Г.В. Пєвцов, С.В. Осієвський

    Published 2020-10-01
    “…It is proposed to use the methods for solving the problem of MMS control according to the vector criterion as the basis for solving this problem. …”
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  5. 3285

    Reverse Vaccinology Integrated with Biophysics Techniques for Designing a Peptide-Based Subunit Vaccine for Bourbon Virus by Taghreed N. Almanaa

    Published 2024-10-01
    “…The growing rates of BRBV infections in various parts of the US highlight the necessity for a thorough analysis of the virus’s transmission mechanisms, vector types and reservoir hosts. Currently, there are no vaccines or efficient antiviral therapies to stop these infections. …”
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  6. 3286

    Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

    Published 2025-01-01
    “…By extracting persistent homology features from these networks, we developed a support vector machine (SVM)-based classifier that distinguishes control subjects from those experiencing varying degrees of NP. …”
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  7. 3287

    A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

    Published 2025-07-01
    “…Artificial Intelligence has made the evaluation process of sleep stages and sleep disorders classification more efficient. …”
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  8. 3288
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    Parallel strategies for a multi-criteria GRASP algorithm Estratégias de paralelização para um algoritmo GRASP multicritério by Dalessandro Soares Vianna, José Elias Claudio Arroyo, Pedro Sampaio Vieira, Thiago Ribeiro de Azeredo

    Published 2007-04-01
    “…Each process finds a subset of efficient solutions. These subsets are joined using different strategies to obtain the final set of efficient solutions. …”
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  10. 3290

    “I LIGHT MY CANDLE FROM YOURS…”: ANTHROPOLOGICAL ASPECTS OF MODERN LIBRARY SERVICES FOR SCIENTISTS by T. О. Kolesnykova

    Published 2017-06-01
    “…They include shift of the priority vector towards the services for an author-scientist and support of the philosophy of open access to knowledge. …”
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  11. 3291
  12. 3292

    Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

    Published 2025-07-01
    “…While classical AI methods have shown promise in glioma classification, the growing volume of medical data, inherent noise, and limitations of classical vector spaces present significant challenges. However, quantum computing-based AI methods have the potential to process data in parallel by leveraging quantum properties such as superposition and entanglement, analyze higher-dimensional data more efficiently, and solve certain problems that classical methods struggle with more rapidly and effectively. …”
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  13. 3293
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    Automatic essay scoring for discussion forum in online learning based on semantic and keyword similarities by Bachriah Fatwa Dhini, Abba Suganda Girsang, Unggul Utan Sufandi, Heny Kurniawati

    Published 2023-12-01
    “…This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the highest vector embedding. Combining these models is used to optimize the model with increasing accuracy. …”
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  16. 3296

    Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease by Amandeep Minhas, Subhash Chandra Pal, Karan Jain

    Published 2025-03-01
    “…Secondly, the collected data is pre-processed using band pass filters having bandwidths of 2.5 to 16 Hz and 1.5 to 16 Hz for ABP and PPG respectively. …”
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  17. 3297

    Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

    Published 2025-09-01
    “…By streamlining the feature selection process, ANOVA not only enhances the performance of the models but also conserves computational resources, making the approach more efficient overall. …”
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  18. 3298

    Design and Implementation of a Physically Secure Open-Source FPGA and Toolchain by Sergej Meschkov, Daniel Lammers, Mehdi B. Tahoori, Amir Moradi

    Published 2025-06-01
    “…A practical security evaluation of our securefabric implementation on a real FPGA target board, using Test Vector LeakageAssessment (TVLA), demonstrated no SCA leakage over 100 million traces. …”
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    Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

    Published 2025-07-01
    “…Local binary pattern (LBP) texture features and RGB color features are extracted from these blocks to characterize surface properties of three beef types (Wagyu, regular, and fat-injected). A support vector machine (SVM) model classifies the blocks, with the final image classification determined via majority voting. …”
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