Showing 2,821 - 2,840 results of 63,112 for search 'ZEE5~', query time: 1.94s Refine Results
  1. 2821
  2. 2822

    Oblong-Winged Katydid (suggested common name) Amblycorypha oblongifolia (De Geer, 1773) (Orthoptera: Tettigoniidae: Phaneropterinae) by Shari Linn, Jennifer L. Gillett-Kaufman

    Published 2015-12-01
    “…EENY638/IN1109: Oblong-Winged Katydid (suggested common name) Amblycorypha oblongifolia (De Geer, 1773) (Orthoptera: Tettigoniidae: Phaneropterinae) (ufl.edu) …”
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  3. 2823
  4. 2824

    Effects of Partial Supporting Pile Removal from Deep Foundation Pits by Shallow Excavation Method in Loess Areas by Yunxin Zheng, Zhiping Hu, Xiang Ren, Rui Wang, Enxiang Zhang, Zhao Long

    Published 2021-01-01
    “…Partial supporting piles removal from deep foundation pit may lead to large-scale foundation pit collapse, resulting in severe consequences. …”
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  5. 2825

    EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network by Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang

    Published 2025-01-01
    “…Before generating the encryption keys, a random number generator (RNG) plays an important component in cybersecurity. Several deep learning-based RNGs have been deployed to train the initial value and generate pseudo-random numbers. …”
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  6. 2826

    Equivalent method for DFIG wind farms based on modified LightGBM considering voltage deep drop faults by Xuecheng Liu, Peixiao Fan, Jun Yang, Song Ke, Binyu Ma, Yangzhou Pei, Jian Xu

    Published 2025-03-01
    “…To address the challenges of inadequate accuracy in identifying the Crowbar action state and incomplete consideration of operating scenarios in existing methods for Doubly Fed Induction Generator (DFIG) wind farms, a DFIG wind farm equivalent method based on modified Light Gradient Boosting Machine (mLightGBM) considering voltage deep drop faults is proposed. First, the low voltage ride through process of wind turbines is analysed, with particular consideration given to the scenario of partial wind turbines tripping off due to voltage deep drop faults in the wind farm. …”
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  7. 2827

    Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning by Jianye Zhou, Xinyu Yang, Lin Zhang, Siyu Shao, Gangying Bian

    Published 2020-01-01
    “…To realize high-precision and high-efficiency machine fault diagnosis, a novel deep learning framework that combines transfer learning and transposed convolution is proposed. …”
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  8. 2828
  9. 2829

    Hibernacula of greater horseshoe bat Rhinolophus ferrumequinum (Schreber, 1774): data from four deep caves in Slovenia by Aja Zamolo, Teo Delić

    Published 2024-07-01
    “…These data show that some deep caves are still unexplored for bats, although bat sightings have been reported in the past. …”
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  10. 2830
  11. 2831

    Synthesis of glass-based catalysts for biodiesel production from a blend of beef tallow and waste cooking oil by M. Mashamba, L. Tshuma, L.B. Moyo, N. Tshuma, G.S. Simate

    Published 2025-12-01
    “…The perennial disparity between supply and demand of energy as a result of burgeoning populations, expeditious urbanisation and industrialisation has driven the need for alternative energy sources. Biodiesel has emerged as a promising vehicular fuel due to its similar physiochemical properties to mineral diesel and its potential to minimise environmental impact. …”
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  12. 2832

    Human development III: Bridging Brain-Mind and Body-Mind. Introduction to “Deep” (Fractal, Poly-Ray) Cosmology by Søren Ventegodt, Tyge Dahl Hermansen, Erik Rald, Trine Flensborg-Madsen, Maj Lyck Nielsen, Birgitte Clausen, Joav Merrick

    Published 2006-01-01
    “…So to function as a human being, we need both these two ways of seeing the world, and two different modi operandi. …”
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  13. 2833

    Report on the Dutch Consensus Development Meeting for Implementation and Further Development of Population Screening for Colorectal Cancer Based on FOBT by M. de Visser, M. van Ballegooijen, S. M. Bloemers, S. J. H. van Deventer, J. B. M. J. Jansen, J. Jespersen, C. Kluft, G. A. Meijer, J. Stoker, G. A. de Valk, M. F. Verweij, F. A. Vlems

    Published 2005-01-01
    “…A list of organisational actions to be taken was established. Research that is needed before the actual national launch of the screening within 2–3 years has been defined. …”
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  14. 2834

    The "Low Slow and Small" UAV target detection and tracking algorithm based on improved YOLOv7 and DeepSort by JIAN Yuhong, YANG Huiyue, WANG Xinggang, RONG Yisheng, ZHU Yukun

    Published 2025-02-01
    “…To improve the accuracy of Low altitude unmanned aerial vehicle(UAV) target detection and tracking, an improved UAV detection algorithm based on YOLOv7 and DeepSort framework is proposed. The CBAM attention mechanism is introduced into the backbone network of YOLOv7 algorithm to improve feature extraction ability. …”
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  15. 2835

    Does the Movement Competency Screen Correlate with Deep Abdominals Activation and Hip Strength for Professional and Pre-professional Dancers? by Justine Benoît-Piau, Mélanie Morin, Sylvie Fortin, Christine Guptill, Nathaly Gaudreault

    Published 2021-02-01
    “… # Conclusion This study shows that the MCS score is correlated with deep abdominal activation and hip strength in dancers, as well as with the FMS™ score. …”
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  18. 2838

    Research and Application of Hydraulic Punching Pressure Relief Antireflection Mechanism in Deep “Three-Soft” Outburst Coal Seam by Beifang Gu, Yanling Wu

    Published 2021-01-01
    “…To solve the problems of gas predrainage in deep seams with “three softs” and low-air permeability, hydraulic punching pressure relief antireflection technology is proposed on the basis of the research background of gas predrainage technology in Lugou Mine to alleviate technical problems, such as low gas drainage efficiency, in this mine. …”
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  19. 2839

    FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

    Published 2025-01-01
    “…In this study, we present FundusNet, a deep-learning model trained on fundus images, for rapid and cost-effective diagnosis of neurodegenerative diseases. …”
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  20. 2840