Showing 15,581 - 15,600 results of 16,436 for search 'Model performance features', query time: 0.29s Refine Results
  1. 15581
  2. 15582

    Efficient Markerless Motion Classification Using Radar by Changhyeon Eom, Sooji Han, Sabin Chun, Soyoung Joo, Jisu Yoon, Min Kim, Jongchul Park, Sanghong Park

    Published 2025-05-01
    “…This study proposes a novel method that uses radar for markerless motion classification by using effective features derived from micro-Doppler signals. The training phase uses three-dimensional marker coordinates captured by a motion-capture system to construct basis functions, which enable modeling of micro-motions of the human body. …”
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  3. 15583

    Characterization of Crystal Properties and Defects in CdZnTe Radiation Detectors by Manuel Ballester, Jaromir Kaspar, Francesc Massanés, Srutarshi Banerjee, Alexander Hans Vija, Aggelos K. Katsaggelos

    Published 2024-10-01
    “…In addition, a sensitivity analysis was performed to determine the effect of noisy data on the accuracy of the model.…”
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  4. 15584

    SVIT‐SSR: A sEMG‐based vision transformer approach for silent speech recognition by Zhao Li, Bin Ma, Weifan Mao, Jianxing Zhang, Zhuting Yu, Yizhou Lu

    Published 2024-11-01
    “…Time‐frequency domain feature extraction and data reconstruction on the muscle activity segment data is performed. …”
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  5. 15585

    Evaluating the Predictive Power of Software Metrics for Fault Localization by Issar Arab, Kenneth Magel, Mohammed Akour

    Published 2025-06-01
    “…To enhance model transparency, we applied explainable AI techniques to analyze feature importance. …”
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    Article
  6. 15586

    Electronic Information Signal Recognition Based on a Stochastic Neural Network Algorithm by Jiaye Wang

    Published 2022-01-01
    “…The accuracy of the algorithm model proposed in this paper is higher than that of the SCN model. …”
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  7. 15587

    Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning by Wenjian Guo, Fayuan Li, Lingyu Wang, Li'an Zhu, Yicong Ye, Zhen Wang, Bin Yang, Shifeng Zhang, Shuxin Bai

    Published 2025-06-01
    “…In materials science, a significant correlation often exists between material input parameters and their corresponding performance attributes. Nevertheless, the inherent challenges associated with small data obscure these statistical correlations, impeding machine learning models from effectively capturing the underlying patterns, thereby hampering efficient optimization of material properties. …”
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  8. 15588

    Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

    Published 2024-06-01
    “… The aim of this study is to apply Machine Learning techniques for predicting and classifying the stress level of people commuting from home to work and also to evaluate the performance of prediction models using feature selection. …”
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  9. 15589

    Method for calculating the integral mobility index of wheeled all-terrain vehicles based on the multi-criteria optimization method by Mazunova L.N., Belyakov V.V., Erofeeva L.N., Makarov V.S., Bushueva M.E.

    Published 2022-09-01
    “…Using the obtained methodology, the mobility indicators for a number of models of wheeled all-terrain vehicles were calculated, the ranked vehicle series are given according to this indicator.…”
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  10. 15590

    Enhanced Swine Behavior Detection with YOLOs and a Mixed Efficient Layer Aggregation Network in Real Time by Ji-hyeon Lee, Yo Han Choi, Han-sung Lee, Hyun Ju Park, Jun Seon Hong, Ji Hwan Lee, Soo Jin Sa, Yong Min Kim, Jo Eun Kim, Yong Dae Jeong, Hyun-chong Cho

    Published 2024-11-01
    “…The proposed architecture was applied to YOLOv7 and YOLOv9, yielding improvements of 1.5% and 2%, with mean average precision scores of 0.805 and 0.796, respectively, compared with the original models. Both models demonstrated significant performance improvements in detecting behaviors critical for piglet growth and survival, such as crushing and lying down, highlighting the effectiveness of the proposed architecture. …”
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  11. 15591

    Development Process and Characteristics Study of Tree Line Discharge in 10 kV Overhead Power Lines by XU Huikai, HUANG Xiaolong, YANG Chunlan, CHEN Tianxiang, YANG Nongchao, CHEN Long

    Published 2025-07-01
    “…Existing tree line discharge models do not consider the high-frequency details, which can result in the neglect of significant features within the high-frequency signals of tree line discharges. …”
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  12. 15592

    Dynamical Characteristics of Isolated Donors, Acceptors, and Complex Defect Centers in Novel ZnO by Devki N. Talwar, Piotr Becla

    Published 2025-05-01
    “…We strongly feel that these phonon features in doped ZnO will encourage spectroscopists to perform similar measurements to check our theoretical conjectures.…”
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  13. 15593

    Solitonic Analysis of the Newly Introduced Three-Dimensional Nonlinear Dynamical Equations in Fluid Mediums by Mohammed N. Alshehri, Saad Althobaiti, Ali Althobaiti, Rahmatullah Ibrahim Nuruddeen, Halliru S. Sambo, Abdulrahman F. Aljohani

    Published 2024-10-01
    “…Certainly, a solitonic analysis, or rather, the admittance of diverse solitonic solutions by these new models of interest, will greatly augment the findings at hand, which mainly deliberate on the satisfaction of the Painleve integrability property and the existence of solitonic structures using the classical Hirota method. …”
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  14. 15594

    Conformational changes in the motor ATPase CpaF facilitate a rotary mechanism of Tad pilus assembly by Ian Y. Yen, Gregory B. Whitfield, John L. Rubinstein, Lori L. Burrows, Yves V. Brun, P. Lynne Howell

    Published 2025-04-01
    “…Truncation of the intrinsically disordered region of CpaF in Caulobacter crescentus equally reduces pilus extension and retraction events observed using fluorescence microscopy, but does not reduce ATPase activity. AlphaFold3 modeling suggests that CpaF and other motors of the type IV filament superfamily employ conserved secondary structural features to engage their respective platform proteins. …”
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  15. 15595

    Symmetry Breaking, Coexisting Bubbles, Multistability, and Its Control for a Simple Jerk System with Hyperbolic Tangent Nonlinearity by Léandre Kamdjeu Kengne, Jacques Kengne, Justin Roger Mboupda Pone, Hervé Thierry Kamdem Tagne

    Published 2020-01-01
    “…The theoretical results are confirmed by performing a series of PSpice simulations based on an electronic analogue of the system.…”
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  16. 15596
  17. 15597

    Dynamic monitoring of Staphylococcus epidermidis biofilm formation using a microfluidic approach by Sahra Fonseca, Jonathan Robidoux, Marie-Pierre Cayer, Jolianne Matte, Steve J. Charette, Danny Brouard

    Published 2025-06-01
    “…This study evaluated the performance of different methods for assessing biofilm formation under various growth conditions, using Staphylococcus epidermidis as a model bacterium. …”
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  18. 15598

    Sciellin inhibits senescence and promotes pancreatic cancer progress by activating the notch signaling pathway by Changhao Wu, Dan Luo, Binbin Shi, Shiyu Chen, Chengyi Sun, Zhiwei He, Chao Yu

    Published 2025-05-01
    “…Therefore, the specific role of SCEL in cellular senescence and the malignant features of PC are unclear. In vivo and in vitro assays were performed to investigate the role of SCEL in PC cell senescence, proliferation, invasion, and metastasis. …”
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  19. 15599

    Logistics Road map for Smart SeaPorts by Khaled Gaber EL Sakty

    Published 2016-12-01
    “…<p>In the digital world, a smart concept became an essential feature for port organizations to serve as intelligent hubs in the world transport networks.  …”
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  20. 15600

    Design and Implementation of a Hybrid SET-CMOS Based Sequential Circuits by Anindya Jana, Rajatsuvra Halder, J.K. Sing, Subir Kumar Sarkar

    Published 2012-05-01
    “…This paper has given a idea to make different sequential circuits using the Hybrid SET-CMOS. The MIB model for SET and BSIM4 model for CMOS are used. …”
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