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  1. 3541
  2. 3542

    SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

    Published 2024-09-01
    “…The selection of these models is driven by their complementary strengths in capturing both the linear and non-linear relationships inherent in smishing messages. …”
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    Article
  3. 3543

    Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

    Published 2017-11-01
    “…The neural network model consists of a hidden layer of neurons with a sigmoidal activation function and an output neuron with a linear activation function, the input values of the dynamic time series, and the predicted value is removed from the output. …”
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    Article
  4. 3544

    Estimation of Reference Crop Evapotranspiration in the Yellow River Basin Based on Machine Learning and Its Regional and Drought Adaptability Analysis by Jun Zhao, Huayu Zhong, Congfeng Wang

    Published 2025-05-01
    “…In recent years, the Yellow River Basin has experienced frequent extreme climate events, with an increasing intensity and frequency of droughts, exacerbating regional water scarcity and severely constraining agricultural irrigation efficiency and sustainable water resource utilization. …”
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    Article
  5. 3545

    RF injection scanning tunneling spectroscopy of a superconducting NbSe2 surface by Md. Arafat Ali, Zhipeng Wang, Mohammad Ikram Hossain, Ferdous Ara, Syed Mohammad Fakruddin Shahed, Tadahiro Komeda

    Published 2025-07-01
    “…However, the linear energy separation with VAC shows different coefficients between the 2 H and 1T phases. …”
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    Article
  6. 3546

    Multidisciplinary DRG management for rational medication in obstetrics: a cost analysis in Zhejiang Province by Qiqin Zhang, Geer Zhang, Shuangneng Yang, Meng Zhang, Shujuan Shu, Mengdan Zhao

    Published 2025-05-01
    “…Finally, we applied a generalized linear model with gamma distribution and log-link function to determine key factors influencing medical costs. …”
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    Article
  7. 3547

    Perioperative hemodynamic parameters monitored by three noninvasive technologies in children with congenital heart disease: A prospective study by Xiaoyu Xiong, Feng Xu, Wei Qiu, Shaojun Li, Chengjun Liu

    Published 2025-06-01
    “…VISmea, uCImea, and eCImea demonstrated the highest accuracy and linear associations (AUROC > 0.9, p = 0.00). Linear associations also existed between the three groups of parameters and the duration of mechanical ventilation (MV) and the length of stay (LOS) in the intensive care unit (ICU). …”
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    Article
  8. 3548

    The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

    Published 2024-11-01
    “…The results confirmed the proposed approach's effectiveness in increasing engine adaptability and energy efficiency in various operating modes.…”
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    Article
  9. 3549

    Effect of Bearing Support Parameters on the Radial and Angular Deformation of Rotor Shaft Gear Based on CRDRS Support Configuration with Intermediate Bearing Support by Xiaojie Yuan, Xiaoyu Che, Rupeng Zhu, Weifang Chen

    Published 2025-06-01
    “…The bearing support position plays a dominant role in gear deformation, exhibiting a monotonic linear relationship. In contrast, although adjustments in bearing support stiffness also follow a linear pattern in influencing deformation, their impact is relatively limited. …”
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    Article
  10. 3550

    Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

    Published 2024-05-01
    “…For the main sample, the following methods’re used to develop predictive models: simple linear regression (SLR), multiple linear regression (MLR), artificial neural network (ANN). …”
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    Article
  11. 3551

    Comportamiento no lineal y caótico en una bomba centrífuga operando en estado de cavitación//Nonlinear and chaotic behavior in a centrifugal pump operating in state of cavitation... by Juan E. Álvarez Naranjo, Héctor F. Quintero Riaza, Juan F. López López

    Published 2015-05-01
    “…Subsequently, a chaotic nonlinear study was used to represent the geometry in the phase space and validation was performed with the data recording operation of the centrifugal pump without cavitation and with maximum efficiency. The results showed that the system dynamics is non-linear and chaotic, and the cavitation is represented with a characteristic geometry.…”
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    Article
  12. 3552

    Predicting indoor temperature of solar green house by machine learning algorithms: A comparative analysis and a practical approach by Wenhe Liu, Tao Han, Cong Wang, Feng Zhang, Zhanyang Xu

    Published 2025-12-01
    “…The research employs five algorithms: Random Forest (RF), Multiple Linear Regression (MLR), Support Vector Regression (SVR), Long Short-Term Memory Recurrent Neural Network (LSTM), and Gated Recurrent Unit (GRU) for temperature prediction. …”
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    Article
  13. 3553

    Utilizing maritime caves for wave energy: wells turbine performance and household power supply from cave-generated electricity by Wilson M. L. Monteiro, António Sarmento, Bruno Semedo, Arider Carvalho, Tomás Tavares, Jakson A. L. Monteiro

    Published 2024-11-01
    “…The characteristic curves of the turbines show a linear trend, with determination coefficients exceeding 75%. …”
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    Article
  14. 3554

    Characteristics of sleep quality and influencing factors in patients with burning mouth syndrome: a preliminary analysis by LU Chenghui, YANG Chenglong, ZHOU Xuan, JIANG Xinxiang, TANG Guoyao

    Published 2025-05-01
    “…Univariate analysis was performed to identify potential influencing factors affecting sleep quality in patients with BMS, and multiple linear regression analysis was employed to determine independent risk factors. …”
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    Article
  15. 3555

    Secure Parallel Image Cryptographic Hash Function Using a Novel 2D High-Randomness Hyperchaotic Map by Mingrui Qi, Dongdong Wang

    Published 2025-06-01
    “…For image data, the processing of each pixel using a cryptographic hash function is linear, and the existing cryptographic hash function lacks parallel processing of image width and height. …”
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    Article
  16. 3556

    A Fully Implicit Coupled Scheme for Mixed Elastohydrodynamic Problems on Co-Allocated Grids by Sören Wettmarshausen, Hubert Schwarze

    Published 2024-09-01
    “…To provide strong coupling between pressure and deformation even in the highly loaded zone, a correction term that adds numerical diffusion is used. The resulting linear equation system of this scheme can be efficiently solved by Krylov subspace methods. …”
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  17. 3557

    Performance of multiple amplitudes differential space-time block coding scheme concatenated with channel coding by YU Xiang-bin1, ZHANG Sheng-nan1, BI Guang-guo2

    Published 2007-01-01
    “…By introducing multiple levels quadrature amplitude modulation and matrix transform method,a multiple am-plitudes differential space-time coding(DSTC) scheme was developed.The scheme can avoid the performance loss of conventional DSTC schemes based on PSK modulation in high spectrum efficiency,and it can be applied to non-square code matrix.Compared with conventional PSK based single amplitude DSTC schemes,the developed scheme has higher spectrum efficiency by carrying information not only on phases but also on amplitudes.Moreover,it has linear decoding complexity,and higher code rate.Also,the performance of our DSTC scheme concatenated with channel codes was given.The simulations results show that our scheme has lower BER when compared with single amplitude DSTC schemes.And multiple amplitudes DSTC concatenated with channel coding also outperform corresponding single amplitude DSTC.…”
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  18. 3558

    Impact of doses of protected fat supplementation on milk composition and performance of lactating Saanen goats by Rodrigo de Souza, Claudete Regina Alcalde, Júlio Cesar Damasceno, Ludmila Couto Gomes Passetti, Bruna Susan de Labio Molina, Bruna Hygino, José Augusto Horst, Geraldo Tadeu Santos

    Published 2025-04-01
    “…Our findings revealed no impact on dry matter intake, while ether extract and total digestible nutrient intakes increased, and non-fibrous carbohydrate intake decreased linearly. Enhanced digestibility of key nutrients indicated improved overall dietary efficiency. …”
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  19. 3559

    An Optimal Iteration Method for Strongly Nonlinear Oscillators by Vasile Marinca, Nicolae Herişanu

    Published 2012-01-01
    “…We illustrate that OIPM is very effective and convenient and does not require linearization or small perturbation. Contrary to conventional methods, in OIPM, only one iteration leads to high accuracy of the solutions. …”
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  20. 3560

    Screening and Selection of Hypoallergenic Buckwheat Species by Arun Nair, Taiji Adachi

    Published 2002-01-01
    “…SDS-PAGE analysis of 14 different species of buckwheat revealed that F. lineare and F. urophyllum lack the 22-kDa major allergenic protein. …”
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