Showing 261 - 280 results of 1,497 for search 'Random layer', query time: 0.10s Refine Results
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    Multi-Time-Scale Layered Energy Management Strategy for Integrated Production, Storage, and Supply Hydrogen Refueling Stations Based on Flexible Hydrogen Load Characteristics of Po... by Zhuoyu Jiang, Rujie Liu, Weiwei Guan, Lei Xiong, Changli Shi, Jingyuan Yin

    Published 2025-03-01
    “…Compared with traditional optimization algorithms, it can effectively improve the ability to search for the optimal solution. The lower layer uses the minute-level time scale to suppress the randomness of renewable energy power generation and hydrogen load consumption in the operation of HFS. …”
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    Simulation of Active Layer Thickness Based on Multi-Source Remote Sensing Data and Integrated Machine Learning Models: A Case Study of the Qinghai-Tibet Plateau by Guoyu Wang, Shuting Niu, Dezhao Yan, Sihai Liang, Yanan Su, Wei Wang, Tao Yin, Xingliang Sun, Li Wan

    Published 2025-06-01
    “…Finally, based on multiple model input factor analysis methods (SHAP, Pearson correlation, and Random Forest Importance), the study analyzed the ranking of key factors influencing ALT changes. …”
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  7. 267

    Farmer field schools as interventions to reduce the need for antimicrobials in agrifood systems: a longitudinal analysis of layer farmer field school graduates and non-graduates in... by Mark A Caudell, Stella Kiambi, Tabitha Kimani, Anica Buckel, Ruth Omani, Junxia Song, Markus Lipp, Emmanuel Kabali

    Published 2025-07-01
    “…Here, we assess the impacts FFS on AMR-specific and AMR-sensitive practices through evaluating graduates of layer poultry FFSs held in Kenya between 2020 and 2021, alongside a random sample of non-FFS farmers. …”
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  8. 268

    Space-Time Distribution Laws of Tunnel Excavation Damaged Zones (EDZs) in Deep Mines and EDZ Prediction Modeling by Random Forest Regression by Qiang Xie, Kang Peng

    Published 2019-01-01
    “…The main factors that affect the EDZ are the blasting load, the excavation unloading, and the stress adjustment; (2) as the roadway excavation continues, the range of the EDZs increases because of the blasting excavation and stress adjustment; (3) the later excavation zone has a comparatively larger EDZ value; and (4) an asymmetric supporting technology is necessary to ensure the stability of roadways buried in layered rocks. Additionally, the predictive capability of random forest modeling is evaluated for estimating the EDZ. …”
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    A comparative analysis of machine learning-based methods for impervious surface mapping using SAR and optical data by Siqi He, Lihong Zhu, Yiman Li, Qing Xia, Qiong Zheng, Zheng Wang, Xinyu Zou

    Published 2025-12-01
    “…Accurate and timely access to information about impervious layers is essential for urban development and ecological environment. …”
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  11. 271

    A Novel Technique for Secure Data Cryptosystem Based on Chaotic Key Image Generation by Mustafa Dhiaa Al-Hassani

    Published 2022-08-01
    “…Double layers of rows and columns permutation are made to the values of numbers for a specified number of stages. …”
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  12. 272

    Sensing using SERS-substrate and machine learning approaches by Bakal, Victoria Alexandrovna, Gusliakova, Olga Igorevna, Prikhozhdenko, Ekaterina Sergeevna

    Published 2025-06-01
    “…To make the sensors specific for glucose detection, they were coated with a layer of glucose oxidase (GOx). To analyze the SERS spectra obtained as a result of measurements of aqueous solutions of glucose with various concentrations on sensors, classification models developed using the ensemble method RandomForestClassifier were used. …”
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    Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms by Antonio Panico, Alberto Corvi, Luca Collini, Corrado Sciancalepore

    Published 2025-05-01
    “…To address this challenge, this study explores the influence of main controllable printing parameters including layer thickness, extrusion temperature, printing speed and deposition patterns, on the mechanical properties of FDM-printed ABS specimens using the Design-of-Experiments (DoE) approach by a $$3^4$$ 3 4 full factorial design. …”
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  15. 275

    Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters by Long Yu, Yang Bao, Kunming Ma, Yunrui Han, Yibin Yan, Bin Xu, Zhongtao Wang, Rui Pang

    Published 2025-01-01
    “…Assuming a linear increase in undrained strength with depth, the slope stability is estimated under static loading derived from nonstationary random fields, and the effect of a weak layer on the slope stability is also analyzed. …”
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    SPRC: A novel Sentinel-1/-2 Phenology-enhanced framework for automated paddy rice mapping by Jian Li, Fengchang Xue, Guicai Li, Mingwei Zhang, Jinyan Tian, Hanchao Zhang

    Published 2025-09-01
    “…Automated rice mapping is achieved by integrating Sentinel-2 phenology, Sentinel-1 V-shape features, Jeffries–Matusita distance, SPRC-based feature selection, and multi-layer probabilistic random forest classification with voting. …”
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  18. 278

    Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System by Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu

    Published 2024-10-01
    “…The next generation reservoir computing (NGRC) variant, founded on nonlinear vector autoregression (NVAR) distinguishes itself due to its fewer hyperparameters and independence from physical random connection matrices, while yielding comparable results. …”
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  19. 279

    Blockchain efficient Byzantine fault tolerance consensus algorithm for IIoT by LI Fengqi, SONG Qingqing, XU Hui, DU Xuefeng, GAO Jialong, TONG Ning, WANG Deguang

    Published 2024-05-01
    “…The parallelism of transaction verification and read write operations was achieved through the implementation of a double layer architecture. Nodes with high credit were randomly selected as the master node by the adaptive master node algorithm, ensuring its security. …”
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  20. 280

    Effect of Calcium Sources and Particle Size on Performance and Eggshell Quality in Laying Hens by Arzu Erol Tunç, Yusuf CUFADAR

    Published 2014-12-01
    “…An experiment was conducted to determine the effect of different combination calcium sources and particle size on performance and egg shell quality in layer hens. In the experiment, 198 brown laying hens at 44 week of age were randomly assigned into 11 treatments groups. …”
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