Showing 581 - 600 results of 2,894 for search '(feature OR features) development (pattern OR patterns)', query time: 0.25s Refine Results
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    Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

    Published 2025-01-01
    “…A hybrid deep learning model, VGG16-GRU, combining convolutional neural networks (CNNs) and gated recurrent units (GRUs), was developed to capture both spatial and temporal features of continuous respiratory data. …”
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    Article
  4. 584

    Associations of type D personality with amplitude-time ECG parameters by O. V. Kremleva

    Published 2024-06-01
    “…The purpose of the study is to identify the features of amplitude-time ECG parameters in type D personalities and to establish associations of amplitude-time ECG patterns in a non-cardiological sample of women with type D indicators and its components — NA and SI. …”
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  5. 585

    Quantifying regional differentiation of yardang groups using terrain texture indices by Haoyang Jiao, Jianhua Cheng, Fayuan Li, Junfei Ma, Xinyu Xu, Xin Yang, Guoan Tang, Hong Wei

    Published 2025-08-01
    “…With yardang research advancing into Earth system science and deep space exploration, there is increasing demand for studies on large-scale spatial patterns. Although texture analysis techniques effectively characterize terrain textures of macro-scale landforms with waveform features, such techniques do not fully capture yardang terrain textures with distinctive surface features. …”
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  6. 586

    METHODOLOGICAL PROBLEMS OF HIGHER SCHOOL DIDACTICS by G. I. Ibragimov

    Published 2015-03-01
    “…Accordingly, professional didactics deals with developing personal life experience as a complex of scientific and professional knowledge, skills and behavior patterns. …”
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    Article
  7. 587

    CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

    Published 2025-01-01
    “…Our analysis offers a comprehensive and extensive characterization of CAN network traffic, examining specifically inter-frame arrival times and patterns in data bytes. We proceeded to test these features by designing a simple anomaly-based IDS that employs a multiclass Decision Tree classifier. …”
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  8. 588

    Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

    Published 2020-12-01
    “…For data analysis in the MATLAB, the software for automated evaluation of electromyographic and biomechanical motion patterns was developed. The algorithm allows one to calculate time, spatial and spatial-to-time parameters of motion, symmetry of movements of the left and right limbs, and also stability of repetition of biomechanical movement pattern. …”
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    Incidence rate and clinical characteristics of seasonal affective disorders in senior medical students by I. I. Ukraintsev, E. D. Schastnyy, N. A. Bokhan

    Published 2021-10-01
    “…To study the incidence rate, clinical features, and prognosis of seasonal affective disorder (SAD) in senior (6th-year) medical students.Materials and methods. …”
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    METHOD OF SURGICAL GUIDE MANUFACTURING FOR DENTAL IMPLANTATION by І.V. Pavlish, V.М. Dvornik, N.О. Riabushko

    Published 2018-03-01
    “… • Lead through of computed tomography with scan- pattern. • Installation of guiding shells in-to the template. …”
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  14. 594

    Photo‐Thermal Approaches on Polyimide Film for Demonstration of Sub‐50 µm Polymer Stencil Mask by Bon‐Jae Koo, Jin‐Hyeong Lee, Hyo‐Kyung Kwon, Hwidon Lee, Joonsoo Jeong, Suk‐Kyun Ahn, Min‐Ho Seo

    Published 2025-07-01
    “…This approach successfully yielded micro‐patterns with feature sizes below 50 µm on polyimide film. …”
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  15. 595

    Voice-Based Emotion Identification Based on Mel Frequency Cepstral Coefficient Feature Extraction Using Self-Organized Maps and Radial Basis Function by Asrivatun Nikmah, Auli Damayanti, Edi Winarko

    Published 2025-03-01
    “…Voice-based emotion identification is carried out to determine the pattern of emotions using the depth analysis mechanism of voice signal development and feature extraction that carries the emotional characteristic parameters of the speaker's voice. …”
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  16. 596

    Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

    Published 2025-01-01
    “…Abstract This study aims to develop an efficient model to predict the arrears behavior of electricity users by integrating multi-scale feature learning with a backpropagation (BP) neural network. …”
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  17. 597

    Epidemic situation and features of accompanying therapy in the treatment of socially significant infectious diseases in penitentiary populations before, during, and after the COVID... by V. M. Kolomiets, N. A. Polshikova, A. Yu. Petrov, A. L. Kovalenko, E. V. Talikova

    Published 2024-04-01
    “…The second stage of the study was the analysis of data on tuberculosis (TB): features of the clinical course, etiotropic treatment, and the possibility of increasing efficiency through accompanying therapy.Results. …”
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    Features of daily dynamics of blood pressure in patients with high and very high cardiovascular risk by SCORE scale and concomitant phenomenon of heart rate turbulence by А. І. Vytryhovsky

    Published 2016-06-01
    “…The presence of the phenomenon of heart rate turbulence in patients with existing cardiovascular disease does not lead to the emergence of some features or changing patterns in daily blood pressure…”
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  20. 600

    Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

    Published 2024-06-01
    “…It is constructed using 5<N<20 samples of genuine human signatures. The pattern forms a convex object in a multidimensional feature space. …”
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