Showing 621 - 640 results of 2,894 for search 'features development patterns', query time: 0.16s Refine Results
  1. 621

    The Acquisition of Subject-Verb Agreement in Typically Developing Children: A Corpus-Driven Analysis by Марван Джаррах, Екаб Аль-Шавашрех, Мохаммад Абушарія

    Published 2025-04-01
    “…The study analysed the subject-verb agreement patterns across different age groups and identified key stages in the acquisition process. …”
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    Article
  2. 622
  3. 623

    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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    Article
  4. 624

    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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    Article
  5. 625

    Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

    Published 2025-06-01
    “…Scientific novelty in the form of development of autoregressive neural network model of accident rate forecasting to identify dependencies and patterns of data, which can improve the quality of accident rate forecasting, considering also the possibility of processing a large amount of data with information about the factors affecting the accident rate. …”
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    Article
  6. 626

    Digital Economy in the Projection of the Economic Development Model: Realities of the Republic of Azerbaijan by E. A. Kuklina, E. A. Babayev

    Published 2019-12-01
    “…The article explores the economic model and identifies patterns of economic development in Azerbaijan in the postSoviet period. …”
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    Article
  7. 627

    ACTUAL DISCOURE ABOUT TIPES FND DEVELOPMENT TENDENCIES NATIONAL STATE by E. G. Ponomareva

    Published 2013-08-01
    “…All this naturally makes urgent the issues related to the search for optimal models of nation state development. The article analyzes approaches to understanding patterns, problems and prospects of the development of this institution existing in modern political science. …”
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    Article
  8. 628

    A connectionist account of the relational shift and context sensitivity in the development of generalisation by Paul H. Thibodeau, Aviva Blonder, Stephen J. Flusberg

    Published 2020-10-01
    “…Here we demonstrate that this pattern of behaviour naturally emerges over the course of development in a domain-general statistical learning model that employs distributed, sub-symbolic representations. …”
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    Article
  9. 629
  10. 630

    Development of large-scale gastruloid array to identify aberrant developmental phenotypes by Ian Jan, Andrew Cearlock, Min Yang, Nancy L. Allbritton

    Published 2025-06-01
    “…An image analysis pipeline extracted features from transmitted light and fluorescence images of the gastruloids. …”
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    Article
  11. 631

    Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

    Published 2025-05-01
    “…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. Thermal images from the Tufts Face Database and self-collected images were utilized to train the models in identifying temperature variations in specific facial regions. …”
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    Article
  12. 632

    A Grey Wolf Optimisation-Based Framework for Emotion Recognition on Electroencephalogram Data by Ram Avtar Jaswal, Sunil Dhingra

    Published 2024-01-01
    “…Human emotions trigger reflective transformations within the brain, leading to unique patterns of neural activity and behaviour. This study connects the power of electroencephalogram (EEG) data to investigate the intricate impacts of emotions, considering their reflective significance in our daily lives, in depth. …”
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  15. 635

    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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    Article
  16. 636

    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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    Article
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  18. 638

    Novel Insights into the Vertical Distribution Patterns of Multiple PM<sub>2.5</sub> Components in a Super Mega-City: Responses to Pollution Control Strategies by Yifan Song, Ting Yang, Ping Tian, Hongyi Li, Yutong Tian, Yining Tan, Yele Sun, Zifa Wang

    Published 2025-03-01
    “…The vertical profiles of PM<sub>2.5</sub> chemical components are crucial for tracing pollution development, determining causes, and improving air quality. …”
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    Article
  19. 639

    Influence of the South Asian High and Western Pacific Subtropical High Pressure Systems on the Risk of Heat Stroke in Japan by Takehiro Morioka, Kenta Tamura, Tomonori Sato

    Published 2025-06-01
    “…Therefore, understanding weather patterns, along with their impacts on human health, is critically important for developing effective public health measures. …”
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    Article
  20. 640