Showing 261 - 280 results of 5,425 for search 'complex layer', query time: 0.12s Refine Results
  1. 261

    Oil and gas enrichment mechanisms and key exploration technologies in deep layers of Subei Basin by ZHU Xiangyu, YU Wenquan, ZHANG Jianwei, LI Chuhua, LI Heyong

    Published 2025-06-01
    “…To understand the enrichment mechanisms of deep oil and gas, develop key exploration technologies, and indicate future research directions, this paper focuses on the deep layers of Gaoyou and Jinhu Sags, which are rich in oil and gas resources. …”
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    Article
  2. 262
  3. 263

    Turbo detection-decoding method for bit-interleavered random layered space-time codes by LI Xiao-wei, CHEN Fang-jiong, WEI Gang

    Published 2006-01-01
    “…Based on one kind of layered space-time code which used bit-interleavered and random-layered model,a joint detection-decoding method based on the Turbo principle was proposed.The new method used soft-interference canceller and SISO decoder and improved the exchange of soft information between them.By iterative procession it improved the performance of the whole system.The potential practice capability is proved by simulation results and computational complexity analysis.…”
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  4. 264

    Turbo detection-decoding method for bit-interleavered random layered space-time codes by LI Xiao-wei, CHEN Fang-jiong, WEI Gang

    Published 2006-01-01
    “…Based on one kind of layered space-time code which used bit-interleavered and random-layered model,a joint detection-decoding method based on the Turbo principle was proposed.The new method used soft-interference canceller and SISO decoder and improved the exchange of soft information between them.By iterative procession it improved the performance of the whole system.The potential practice capability is proved by simulation results and computational complexity analysis.…”
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    Article
  5. 265

    An attempt of finding an appropriate number of convolutional layers in cnns based on benchmarks of heterogeneous datasets by Romanuke Vadim V.

    Published 2018-07-01
    “…For datasets that have a few tens of image categories and more, initially setting five to eight convolutional layers is recommended depending on the complexity of the dataset. …”
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    Article
  6. 266

    An image encryption algorithm based on multi-layered chaotic maps and its security analysis by Erdal Güvenoğlu

    Published 2024-12-01
    “…This study introduces a novel symmetric image encryption algorithm that employs a multi-layered architecture of chaotic maps, incorporating both confusion and diffusion components. …”
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    Article
  7. 267

    Dissemination characteristics and influencing factors of topic circles in multi-layer public opinion dissemination by Xiaoqian Zhu, Guang Yu, Yinglong Zhang, Ning Ma

    Published 2025-05-01
    “…IntroductionIn recent years, social media has become a pivotal channel for public opinion dissemination, characterized by its multi-topic nature and dynamic complexity.MethodsThis study utilizes data on public health incident dissemination from the Weibo platform as its research sample and, based on a multi-layered network model, proposes a framework for topic circle identification and dynamic network analysis in public opinion dissemination. …”
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  10. 270

    Simulation and experiment of laser cladding layer for repairing brake disc in heavy-duty vehicles by Lixin Wang, Xinyu Jiang, Guang Yang, Shiyun Dong, Shixing Yan

    Published 2025-06-01
    “…Laser cladding repair can maintain the radius, thereby gradually becoming a promising method for brake disc repair, but the complexity of the laser cladding process causes the cladding layer to generate defects that decrease the repair quality. …”
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  11. 271

    Silvicultural Assessment of Complex Logging in the Forests of the Vologda Region by Sergey A. Korchagov, Elena A. Surina, Oleg A. Konyushatov, Nikolay S. Minin, Ludmila G. Gogoleva

    Published 2025-02-01
    “…Complex logging is carried out in uneven-aged and complex stands and should combine harvesting of mature wood and forest maintenance. …”
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    Article
  12. 272

    Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

    Published 2025-01-01
    “…Binary neural networks (BNNs) significantly reduce computational complexity and memory usage in machine and deep learning by representing weights and activations with just one bit. …”
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    Article
  13. 273

    Cross-Layer Stream Allocation of mMIMO-OFDM Hybrid Beamforming Video Communications by You-Ting Chen, Shu-Ming Tseng, Yung-Fang Chen, Chao Fang

    Published 2025-04-01
    “…Simulation results demonstrate that the proposed cross-layer scheme outperforms three conventional physical-layer schemes by 0.4 to 1.14 dB in PSNR for 4–6 users, at the cost of a 1.8 to 2.3× increase in computational complexity (requiring 3.6–5.8 iterations).…”
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  14. 274

    On the limits of the intervention on complex systems guided by functional networks by Massimiliano Zanin

    Published 2025-07-01
    “…Abstract Complex networks, and functional networks in particular, have become a standard tool to understand the structure and dynamics of real-world complex systems. …”
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  15. 275

    Humanoid Motion Generation in Complex 3D Environments by Diego Marussi, Michele Cipriano, Nicola Scianca, Leonardo Lanari, Giuseppe Oriolo

    Published 2025-06-01
    “…The complete framework was evaluated via dynamic simulation in MuJoCo, placing the JVRC1 humanoid in four scenarios of varying complexity.…”
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    DEVELOPMENT OF COMPLEX EQUIPMENT FOR PLASMA SPRAY CERAMIC COATINGS by V. V. Okovity, O. G. Devoino, V. A. Okovity, F. I. Panteleenko, V. M. Astashinsky

    Published 2017-01-01
    “…The article presents characteristics and parameters of the developed complex equipment for formation of plasma ceramic coatings as well as results of its testing. …”
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  18. 278

    Interpretation of Ornamental Compositions in the Costume Complex of the Tsarevokokshaisk Mari by Vladimir G. Kudryavtsev

    Published 2025-04-01
    “…Particular emphasis was given to the vertically placed image of the world tree, anthropomorphic images and large solar signs. Today, the complexity of deciphering ornamental compositions lies in the layering of one image over another. …”
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