Showing 441 - 460 results of 1,497 for search 'Random layer', query time: 0.10s Refine Results
  1. 441

    Spin Transfer Torque Evaluation Based on Coupled Spin and Charge Transport: A Finite Element Method Approach by Simone Fiorentini, Johannes Ender, Siegfried Selberherr, Wolfgang Goes, Viktor Sverdlov

    Published 2022-08-01
    “…MRAM cells include a fixed reference magnetic layer and a free-to-switch ferromagnetic layer (FL), separated by a tunnel barrier. …”
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  2. 442

    Design of a home video behavior recognition system based on visual privacy security mechanism by D.M. Zhao

    Published 2025-04-01
    “…The research results show that in the comparison of measurement matrices at different levels, the Bernoulli random matrix has the highest recognition accuracy, with recognition accuracy rates of 100 %, 98.73 %, 98.76 %, and 85.62 % from the first layer to the fourth layer, respectively. …”
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  3. 443

    Early Warning of Abnormal Operating Modes via Feature Extraction from Cross-Section Frame at Discharge End for Sintering Process by Xinzhe Hao, Sheng Du, Xian Ma, Mengxin Zhao

    Published 2025-07-01
    “…First, an edge detection-based scheme is designed to isolate and analyze the red fire layer in the image. Second, a random forest feature importance ranking is employed to select process variables. …”
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  4. 444

    Multi-objective flexible job-shop scheduling in hospital using discrete particle swarm optimization algorithm with adaptive inertia weight (DPSO-AIW) by Md. Limonur Rahman Lingkon, Adri Dash

    Published 2024-01-01
    “…The approach encodes the layer of the chromosomes using an operation sequence (OS) and machine assignment (MA) which is a two-layer coding structure. …”
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  5. 445

    Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems by Qiang Miao, Thomas Barthel

    Published 2025-02-01
    “…Furthermore, we show how the convergence can be substantially improved by building up the MERA layer by layer in the initialization stage and by scanning through the phase diagram during optimization. …”
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  6. 446

    Fine-scale spatial point patterns of Stipa breviflora population at different “Soil Island” habitat sizes in desert steppe by XUE Yi, WANG Xing, SONG Naiping, SUI Jinming, CHEN Juan

    Published 2019-04-01
    “…The results showed that: 1) S. breviflora population was in the aging and declining stage in the all of “Soil Island” habitats, with very few young seedlings. 2) With the increase of the area of “Soil Island”, the content of clay silts in the 0-40 cm soil layer increased (P<0.05), and the content of fine sand in the 0-40 cm soil layer decreased (P<0.05), and the content of soil organic content (SOC) in different soil layers increased (P<0.05). 3) With the increase of the area of “Soil Island”, the ecological strategy of S. breviflora population changed. …”
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  7. 447

    CRITERION FOR IDENTIFICATION OF THE PROBABILITY MODEL OF THE STATE OF SATELLITE COMMUNICATION CHANNELS by G. I. Linets, S. V. Melnikov

    Published 2022-08-01
    “…Such models and methods cannot provide reliable identification of the States of satellite communication channels and quickly determine changes in the distribution laws of random variables associated with the appearance of small-scale inhomogeneities in the case of dynamic changes in the ionospheric layer, which is typical for rapid fading of GPS/GLONASS signals.…”
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  8. 448

    Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

    Published 2025-01-01
    “…To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. …”
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  9. 449

    PRDAGE: a prescription recommendation framework for traditional Chinese medicine based on data augmentation and multi-graph embedding by Zhihua Wen, Yunchun Dong, Lihong Peng, Longxin Zhang, Junfeng Yan

    Published 2025-08-01
    “…Additionally, we developed a multi-layer embedding method for symptoms and herbs, using Sentence Bert (SBert) and graph convolutional networks. …”
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  10. 450

    Assessment of Tree Species Diversity, Biomass, C and N Storage in Two Sites of Dry Tropical Forest of Chhattisgarh, India by Mexudhan, Jiwan Lal, Gunjan Patil

    Published 2024-05-01
    “…The experiment was conducted on Katghora Forest division in July 2018 to June 2019. The stratified random sampling technique was used for quantifying the tree layer vegetation. …”
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  11. 451

    Fracturing and Porosity Channeling in Fluid Overpressure Zones in the Shallow Earth’s Crust by Daniel Koehn, Sandra Piazolo, Till Sachau, Renaud Toussaint

    Published 2020-01-01
    “…A horizontal fluid pressurized layer that is offset shows a complex system of effective stress evolution with the layer fracturing initially at the location of the offset followed by hydraulic breccia development within the layer. …”
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  12. 452

    Unraveling the local stress corrosion cracking behavior of Alloy 690 plug in a high-temperature concentrated alkaline solution by Baoliang Cheng, Jin Tao, Jingshan Deng, Botao Xu, Xinhe Xu, Songhan Nie, Tongming Cui, Junjie Chen, Zhanpeng Lu

    Published 2025-03-01
    “…Stress corrosion cracks primarily appear in some regions on the inner wall, which are highly deformed and advanced along the random grain boundary. The internal oxide layer formed in the high-temperature alkaline solution was not dense; it comprised a composite oxide with multiple layers. …”
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  13. 453

    A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting by Jiawen Li, Binfan Lin, Peixian Wang, Yanmei Chen, Xianxian Zeng, Xin Liu, Rongjun Chen

    Published 2024-09-01
    “…To address this, a hierarchical prediction model that combines RF-XGBoost is proposed in this work. It adopts the Random Forest (RF) in the first layer to extract residuals and achieve initial prediction results based on correlation features from Grey Relation Analysis (GRA). …”
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  14. 454

    Protein sequence classification using natural language processing techniques by Huma Perveen, Julie Weeds

    Published 2025-05-01
    “…Methods The study evaluated models such as K-Nearest Neighbors (KNN), Multinomial Naïve Bayes, Logistic Regression, Multi-Layer Perceptron (MLP), Decision Tree, Random Forest, XGBoost, Voting and Stacking classifiers, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and transformer models (BertForSequenceClassification, DistilBERT, and ProtBert). …”
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  15. 455

    Correlation Analysis and Prediction of the Physical and Mechanical Properties of Coastal Soft Soil in the Jiangdong New District, Haikou, China by Yongchang Yang, Xinying Song, Shuai Zhang, Jun Hu, Ming Ruan, Dongling Zeng, Han Luo, Jiangsi Wang, Zhixin Wang

    Published 2024-01-01
    “…For this study, samples were collected from the indoor geotechnical tests conducted on the fourth layer of the third series of the Haikou Formation. …”
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  16. 456
  17. 457

    Microbial community assembly patterns at the species level in different parts of the medium temperature Daqu during fermentation by Zhang Wen, Pei-Jie Han, Da-Yong Han, Liang Song, Yu-Hua Wei, Hai-Yan Zhu, Jie Chen, Zheng-Xiang Guo, Feng-Yan Bai

    Published 2024-01-01
    “…The bacterial community composition and succession model in the middle layer were similar to those in the core layer, whereas the fungal community composition and succession model in the surface layer were similar to those in the middle layer. …”
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  18. 458

    Improve the Resilience of Multilayer Supply Chain Networks by Hui Xia

    Published 2020-01-01
    “…We firstly conduct the study on the connectedness in the supply chain network from a topological perspective and adopt the t-core method to decompose the network into multiple layers. Then, we propose a layer-based rewiring algorithm to recover the network from disruptions. …”
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  19. 459

    Acoustic two-dimensional scattering from cylinders using the method of source simulation technique by P.H. T. Zannin

    Published 2002-01-01
    “…The calculation of the scattering was performed for the variants of the method: the single-layer method and the one-point multipole method. …”
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  20. 460

    Drone-Captured Wildlife Data Encryption: A Hybrid 1D–2D Memory Cellular Automata Scheme with Chaotic Mapping and SHA-256 by Akram Belazi, Héctor Migallón

    Published 2024-11-01
    “…A final layer of 1D MCA, controlled by pseudo-random number generators, ensures comprehensive diffusion and confusion across the image. …”
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