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  1. 661

    Steady-state data-driven dynamic stability assessment in the Korean power system by Sungyoon Song, Sang-won Min, Seungmin Jung

    Published 2025-03-01
    “…Installing phasor measurement units on all power system nodes is deemed impractical due to high costs. In this work, we aimed to develop a rotor angle stability prediction model using steady-state data that can be easily generated from the current energy management system. …”
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  2. 662

    A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

    Published 2025-07-01
    “…QProteoML was experimentally tested by comparing accuracy, F1 score and AUC ROC between classical machine learning models such as Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), and K-Nearest Neighbors (KNN). …”
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  3. 663

    Algorithm for Identification Electromagnetic Parameters of an Induction Motor When Running on a Three-Phase Power Plant by D. S. Odnolko

    Published 2013-02-01
    “…The flexible structure of the algorithm allows it to be used for preliminary identification of an induction motor, and in the process operative work induction motor in the frequency-controlled electric drive with vector control.…”
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  4. 664

    A Novel Lithium Ion Battery Autonomous Strategy Improvement Based on SVM-DTC for Urban Electric Vehicle under Several Speeds Tests by OICC Press Authors

    Published 2024-02-01
    “…In this paper novel strategy of EV power electronics studies based on direct torque space vector modulation technique in the several speed variations .The basic idea of this work that the state SOC equal 70% and the developed model take into consideration the present state under several speed variations. …”
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    Article
  5. 665

    Metabolic reprogramming in mutant IDH1 glioma cells. by Jose L Izquierdo-Garcia, Pavithra Viswanath, Pia Eriksson, Myriam M Chaumeil, Russell O Pieper, Joanna J Phillips, Sabrina M Ronen

    Published 2015-01-01
    “…For both models, wild-type IDH1 cells were generated by transduction with a lentiviral vector coding for the wild-type IDH1 gene while mutant IDH1 cells were generated by transduction with a lentiviral vector coding for the R132H IDH1 mutant gene. …”
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  6. 666

    Fuzzy Goal Programming Procedure to Bilevel Multiobjective Linear Fractional Programming Problems by Mahmoud A. Abo-Sinna, Ibrahim A. Baky

    Published 2010-01-01
    “…In the proposed procedure, the membership functions for the defined fuzzy goals of the decision makers (DMs) objective functions at both levels as well as the membership functions for vector of fuzzy goals of the decision variables controlled by first-level decision maker are developed first in the model formulation of the problem. …”
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  7. 667

    Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

    Published 2025-06-01
    “…Both models generate individual predictions from the input features presented to them, and the predicted labels and the posterior probability vector for each of the models are combined to output a vector to be forwarded to the meta-learner (a MLP model). …”
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  8. 668

    Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms by Jinbo Xu, Shibiao Mu

    Published 2022-01-01
    “…The sentiment synthesis word vector is used as the input data structure of the text, the convolutional neural network model and the recurrent neural network model in machine learning are independently designed and constructed, and a shunt is proposed. …”
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    Article
  9. 669

    On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan by E. G. Orudzhev, S. M. Huseynova

    Published 2020-04-01
    “…The Johansen tests are implemented to find the cointegration area, after which the vector error correction model is built, which describes the long-term equilibrium relationship between the studied indicators and the path of returning to the equilibrium trajectory if it deviates from it. …”
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    Article
  10. 670

    Improve the Intelligent Convenience of Multivariate Optimization of Concrete Mix Ratio and the Development of Corresponding Applications by Zhanfei Yang, Bin Chen, Jianfen Zhou, Saihua Huang

    Published 2024-01-01
    “…Using the optimization model established in this work, the test results of 1,443 groups of mixed ratios show that the prediction accuracy of the new model is better than that of the traditional model. …”
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    Article
  11. 671

    Performance Analysis of DP-QAM-Based Optical OFDM PON Employing Optical Multicarrier by Ibrahim Luay, Tahreer Safa’a Mansour

    Published 2024-01-01
    “…Furthermore, the simulation results show that the proposed model can achieve an SSMF length and FSO propagation ranges of 20 km and 2 km, respectively, with the symbol error rate (SER) (<10−9) and error vector magnitude (EVM) (<0.186).…”
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  12. 672

    Research on Spam Filters Based on NB Algorithm by Su Shengyue

    Published 2025-01-01
    “…However, limitations arise from the NB algorithm’s independence assumption, which may affect performance in more complex spam scenarios. Future work may focus on improving the model’s accuracy and robustness by integrating it with other machine learning models, like Support Vector Machines (SVMs) and deep learning techniques, to enhance spam classification capabilities.…”
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  13. 673

    Dislocation‐Driven Formation of Oriented Macroperiodic Metastructures of Curved Single Crystal Lattices in Glass by Evan J. Musterman, Volkmar Dierolf, Himanshu Jain

    Published 2025-03-01
    “…The development of lattice curvature appears to be intrinsic to the crystal growth process in some systems, while the result of the locally changing crystallography in others. In this work, a model laser‐fabricated rotating lattice Sb2S3 crystal grown in stoichiometric glass is used to demonstrate fabrication of novel macroperiodic metastructures that utilize intrinsic lattice curvature superimposed with subtle crystallographic influences. …”
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  14. 674

    Investigating The Performance Of Local And Indigenous Businesses In Times Of Economic Recession With Emphasis On Developing The Capabilities Of Cooperatives In Sistan And Baluchest... by Ali Asghar Tabavar, Abdoulnaser Derakhshan, Sahar Arefi

    Published 2024-12-01
    “…The first step in carrying out the estimation approach of vector error correction models is to check the meanness of the data. …”
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  15. 675

    Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

    Published 2025-02-01
    “…The study’s design involved applying the HELR model to three healthcare datasets and comparing its performance with Support Vector Machines (SVM). …”
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  16. 676

    Machine Learning Impact on Modern Business Intelligence by Raziyeh Moghaddas, Farinaz Tanhaei, Maryam Al Moqbali, Solmaz Safari

    Published 2025-06-01
    “…The findings of this research work provide a comparative analysis of model efficiency that highlights both the capabilities and limitations of each model. …”
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    Article
  17. 677

    Research on the Prediction of the Operational Risk Field of Intelligent Vehicles Based on Dual Multiline LiDAR by Ruibin Zhang, Yingshi Guo, Chang Wang, Yang Zhou, Yunze Long

    Published 2022-01-01
    “…The constructed time-sequence feature vector is used as the input data of the attention mechanism, and the attention-bidirectional long short-term memory (Attention-BiLSTM) model is used for training to form the desired input-output mapping relationship. …”
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  18. 678

    A Fast Reconstruction Algorithm for Fluorescence Optical Diffusion Tomography Based on Preiteration by Xiaolei Song, Xiaoyun Xiong, Jing Bai

    Published 2007-01-01
    “…This method needs only one step of matrix-vector multiplication online, by pushing the iteration process to be executed offline. …”
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  19. 679
  20. 680

    Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials by Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil, Arnold C. Alguno

    Published 2022-01-01
    “…The XGBoost model was compared against support vector machine (SVM), adaptive boosting (AdaBoost), random forest (RF), and K-nearest neighbor (KNN) models described in the literature. …”
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