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  1. 341

    Methods of controlling the course for an self-driving grader by R. Yu. Sukharev

    Published 2022-03-01
    “…The construction machine closest in terms of control algorithm to an unmanned vehicle is an auto grader. …”
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    Article
  2. 342

    Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospecti... by Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu

    Published 2025-06-01
    “…Calibration curves, receiver operating characteristic curves, and decision curve analyses were employed to evaluate the accuracy of the predictions, differentiation, and clinical usefulness of the models, respectively. …”
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    Article
  3. 343
  4. 344

    Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

    Published 2025-01-01
    “…Utilizing the Forward algorithm, our system quantifies privacy risks, enabling users to revise inputs prior to submission and thereby enhancing data privacy. …”
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    Article
  5. 345

    Evaluation of Left Ventricular Rotation Using Speckle Tracking Technique in Echocardiographic Images of Coronary Artery Stenosis Patients by Zeinab Alsadat Ahmadi, Manijhe Mokhtari-Dizaji, hamideh khesali

    Published 2025-02-01
    “…Introduction: Computed Tomography (CT) is nowadays used widely to differentiate normal brain cranium sutures from abnormal ones in pediatric patients with the aim of early treatment. …”
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    Article
  6. 346

    Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

    Published 2025-01-01
    “…Methods In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the GSE30122, GSE30528, and GSE96804  datasets, followed by an evaluation of the immune landscape in DN. An unsupervised consensus clustering of DN samples from the same dataset was conducted based on differentially expressed GRGs. …”
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    Article
  7. 347

    Theoretical understanding of gradients of spike functions as boolean functions by DongHyung Yoo, Doo Seok Jeong

    Published 2024-11-01
    “…Abstract Applying an error-backpropagation algorithm to spiking neural networks frequently needs to employ fictive derivatives of spike functions (popularly referred to as surrogate gradients) because the spike function is considered non-differentiable. …”
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  8. 348
  9. 349

    The Effectiveness of MALDI ToF Mass Spectrometry in Identification of <i>Francisella tularensis</i> Strains by A. K. Syngeeva, A. S. Ostyak, E. S. Kulikalova, A. V. Mazepa, K. V. Naumova, S. V. Balakhonov

    Published 2022-10-01
    “…Based on the cluster analysis of 66 F. tularensis strains in BioNumerics 7.6 software using «Pearson correlation» and the UPGMA algorithm, the possibility of subspecies differentiation has been evaluated. …”
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    Article
  10. 350

    Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

    Published 2025-01-01
    “…The computed Approximate Entropy values for each load and configuration are then used as features in the proposed algorithm. Finally, the algorithm&#x2019;s performance is evaluated by assessing its series arc fault detection performance and its ability to minimize false detections during normal operation.…”
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  11. 351
  12. 352

    Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

    Published 2025-07-01
    “…These hybridized algorithms were evaluated across different integration phases, including the initialization passes and generation updates phase, and in both phases. …”
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    Article
  13. 353

    HECM-Plus: Hyper-Entropy Enhanced Cloud Models for Uncertainty-Aware Design Evaluation in Multi-Expert Decision Systems by Jiaozi Pu, Zongxin Liu

    Published 2025-04-01
    “…The main contribution of this work is the proposal of HECM-Plus, which resolves the limitation of HECM in neglecting <i>He</i>, thereby further enhancing the precision of normal cloud similarity measurements. The algorithm provides a practical tool for uncertainty-aware decision-making in multi-expert systems, particularly in multi-criteria design evaluation under conflicting standards. …”
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  14. 354
  15. 355

    Embedding Moving Baseline RTK for High-Precision Spatiotemporal Synchronization in Virtual Coupling Applications by Susu Huang, Baigen Cai, Debiao Lu, Yang Zhao, Miao Zhang, Linyu Shang

    Published 2025-03-01
    “…The proposed framework was evaluated through comprehensive simulations and field experiments. …”
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    Article
  16. 356

    Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks by Adoración Antolí, Adoración Antolí, Francisco Javier Rodriguez-Lozano, José Juan Cañas, Julia Vacas, Julia Vacas, Fátima Cuadrado, Fátima Cuadrado, Araceli Sánchez-Raya, Araceli Sánchez-Raya, Carolina Pérez-Dueñas, Carolina Pérez-Dueñas, Juan Carlos Gámez-Granados

    Published 2025-06-01
    “…Eye-tracking data were used to generate four datasets, which were then analyzed using XML algorithms to evaluate the accuracy of group classification across all possible combinations.ResultsThe model achieved an F1-score of 0.912 in distinguishing DLD from TD, 0.86 for ASD vs. …”
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  17. 357

    Identification and Validation of Aging-Related Genes in IgA Nephropathy in the Asian Population by Shu J, Li H, Li H

    Published 2025-07-01
    “…The PPI network of AR-DEGs was then constructed, and hub genes were ranked using five methods of the cytoHubba plugin in Cytoscape software. CIBERSORT algorithm was used to evaluate immune infiltration and its relationship with hub genes. …”
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  18. 358

    Software defined data center network with hybrid routing by Yue-ping CAI, Chang-ping WANG

    Published 2016-04-01
    “…To address this issue, a software-defined hybrid routing (SHR) scheme was proposed. SHR differentiate data flows by statistical calculat nt flows utilize the adap-tive routing algorithm while the mice flows use the oblivious routing algorithm. …”
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  19. 359

    Multi-objective Optimization of Dimensional Parameter for 4-PRP<sub>a</sub>R Parallel Mechanism by Jian Yi, Bing He, Linxian Che, Jie Li

    Published 2021-07-01
    “…A multi-objective optimization model is constructed to formulate the design problem of dimensional parameters on the maximizing radius of RETW and average transmission indices, and the fast and elitist multi-objective genetic algorithm combined with differential evolution algorithm is used to solve this problem. …”
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  20. 360