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  1. 2081

    Research on the Initial Fault Prediction Method of Rolling Bearings Based on DCAE-TCN Transfer Learning by Huaitao Shi, Yajun Shang, Xiaochen Zhang, Yinghan Tang

    Published 2021-01-01
    “…In actual working conditions, the initial faults of rolling bearings are difficult to effectively predict due to the lack of evolution knowledge, weak fault information, and strong noise interference. …”
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    Article
  2. 2082

    Calculation of the Overall Coordination Internal Force of the Grille Beam-Column under the Impact of Debris Flow by Yongsheng Wang, Hao Zhu, Bing Wang

    Published 2022-01-01
    “…In order to analyze and design the new grille dam accurately and reasonably, it is necessary to carry out theoretical research on the internal force calculation of the overall coordination of the grille beam-column under the impact of debris flow. Under the condition of full reservoir of debris flow, the grille beam-column meets the working principle of elastic foundation beam; therefore, the equation of the overall cooperative work of the grille beam-column is derived based upon Winkler’s theory of elastic foundation beam. …”
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    Article
  3. 2083

    Nonlinear Earthquake Analysis of Reinforced Concrete Frames with Fiber and Bernoulli-Euler Beam-Column Element by Muhammet Karaton

    Published 2014-01-01
    “…A beam-column element based on the Euler-Bernoulli beam theory is researched for nonlinear dynamic analysis of reinforced concrete (RC) structural element. …”
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    Article
  4. 2084

    Modified Kernel Marginal Fisher Analysis for Feature Extraction and Its Application to Bearing Fault Diagnosis by Li Jiang, Shunsheng Guo

    Published 2016-01-01
    “…The high-dimensional features of defective bearings usually include redundant and irrelevant information, which will degrade the diagnosis performance. …”
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    Article
  5. 2085
  6. 2086
  7. 2087

    Identifying corridors for Asiatic black bear (Ursus thibetanus) in a part of Eastern Himalayas, India by Malyasri Bhattacharya, Debanjan Sarkar, Sneha Pandey, Indranil Mondal, Sambandam Sathyakumar, R. Suresh Kumar, Gautam Talukdar

    Published 2025-02-01
    “…The Asiatic black bear (Ursus thibetanus), classified as a vulnerable species on the IUCN Red List, is an important mammal species found in the state of Sikkim, India. …”
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    Article
  8. 2088

    Association Between Body Mass Index, Abdominal Obesity and Menopause-Related Symptoms in Postmenopausal Women by Brianna A Rice, Patricia Heavey

    Published 2024-12-01
    “…This study aimed to determine whether there is an association between BMI, general abdominal obesity and menopause-related symptoms in postmenopausal women. …”
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    Article
  9. 2089

    Shear Behaviour of RC Beams Strengthened by Various Ultrahigh Performance Fibre-Reinforced Concrete Systems by Walid Mansour, Bassam A. Tayeh

    Published 2020-01-01
    “…Results of the analysed beams show that the shear span-to-depth ratio significantly affects the shear behaviour of not only the normal-strength RC beams but also the RC beams strengthened with UHPFRC layers. …”
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    Article
  10. 2090
  11. 2091
  12. 2092

    Genomic insights into genetic diversity and seed coat color change in common bean composite populations by Eva Plestenjak, Eva Plestenjak, Mohamed Neji, Lovro Sinkovič, Vladimir Meglič, Barbara Pipan

    Published 2025-01-01
    “…IntroductionThe color of the seed coat of common bean (Phaseolus vulgaris L.) is an important trait influencing marketability and consumer preferences. …”
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    Article
  13. 2093
  14. 2094

    Developing a GIS Model for Identifying Bear Corridors with Open-Source Data: The Romanian Context by Sanda Roșca, Alexandru Chira, Iuliu Vescan, Ștefan Bilașco, Ioan Fodorean, András-István Barta, Vasile Ceuca, Paul Sestraș

    Published 2025-01-01
    “…The brown bear (<i>Ursus arctos arctos</i>) is the only bear species on the Romanian territory, its natural habitat occupying a third of the country’s surface, including the entire mountain area as well as the hills in the immediate vicinity. …”
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  15. 2095

    Sharper Focal Spot for a Radially Polarized Beam Using Ring Aperture with Phase Jump by Svetlana N. Khonina, Andrei V. Ustinov

    Published 2013-01-01
    “…We study analytically and numerically in which way the width of ring aperture containing a phase jump affects the size and intensity of the focal spot generated with a radially polarized beam. It is shown that by means of destructive interference of beams coming from the different-phase rings it becomes possible to overcome the scalar diffraction limit corresponding to the first zero of the zero-order Bessel function. …”
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    Article
  16. 2096
  17. 2097

    Two-Layer Linear MPC Approach Aimed at Walking Beam Billets Reheating Furnace Optimization by Silvia Maria Zanoli, Crescenzo Pepe

    Published 2017-01-01
    “…In this paper, the problem of the control and optimization of a walking beam billets reheating furnace located in an Italian steel plant is analyzed. …”
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    Article
  18. 2098

    Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis by Shouquan Che, Jianfeng Lu, Congwang Bao, Caihong Zhang, Yongzhi Liu

    Published 2023-01-01
    “…Transformer model is being gradually studied and applied in bearing fault diagnosis tasks, which can overcome the feature extraction defects caused by long-term dependencies in convolution neural network (CNN) and recurrent neural network (RNN). …”
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    Article
  19. 2099
  20. 2100

    The Hybrid Method of VMD-PSR-SVD and Improved Binary PSO-KNN for Fault Diagnosis of Bearing by Sheng-wei Fei

    Published 2019-01-01
    “…Fault diagnosis of bearing based on variational mode decomposition (VMD)-phase space reconstruction (PSR)-singular value decomposition (SVD) and improved binary particle swarm optimization (IBPSO)-K-nearest neighbor (KNN) which is abbreviated as VPS-IBPSOKNN is presented in this study, among which VMD-PSR-SVD (VPS) is presented to obtain the features of the bearing vibration signal (BVS), and IBPSO is presented to select the parameter K of KNN. …”
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