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  1. 12521

    Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

    Published 2025-07-01
    “…Advanced optimization algorithms were employed to efficiently address both the fitting and calculation tasks. …”
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    Article
  2. 12522

    POSSIBILITIES OF CARIES PROGNOSIS IN CHILDREN OF SCHOOL-AGE ACCORDING TO DATA GAINED FROM THEM AND THEIR PARENTS QUESTIONNAIRE by L.F. Kaskova, T.B. Mandziuk, L.P. Ulasevych, L.D. Korovina, M.A. Sadovski

    Published 2019-06-01
    “…Therefore, the purpose of our study was to identify the possibility of predicting caries in preschool children according to questionnaires of surveyed children and their parents. …”
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    Article
  3. 12523

    Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

    Published 2025-01-01
    “… Sentiment analysis of students’ feedback using machine learning algorithms has emerged as a valuable tool for understanding students’ sentiments and improving educational outcomes. …”
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    Article
  4. 12524

    Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations by Hwan-Hee Cho, Jae-Won Kim, Min-Sup Song, Chi-Myeong Yun, Gyu-Jung Cho, Zhongbei Tian

    Published 2025-01-01
    “…This paper presents a Fuzzy logic-based train control algorithm designed to enhance energy efficiency across a complete railway route. …”
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    Article
  5. 12525
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  8. 12528

    Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

    Published 2025-09-01
    “…SHAP analysis reveals that the PGML model predictions and their dependency on input features are consistent with the existing domain knowledge, and that the inclusion of physics in PGML models help improve the prediction accuracy, especially in cases where other input features fail to capture the combined complex interaction among the variables involved.…”
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    Article
  9. 12529

    A Comparative study of the Envisaged and Definite Stock Prices of BSE SMEs Using RNN during the COVID-19 Pandemic by S. Kaur, A. Munde, A. K. Goyal

    Published 2024-04-01
    “…The stock market is unstable, but the use of machine learning algorithms allows to predict its future dynamics before spending. …”
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    Article
  10. 12530

    Development of standard fuel models in boreal forests of Northeast China through calibration and validation. by Longyan Cai, Hong S He, Zhiwei Wu, Benard L Lewis, Yu Liang

    Published 2014-01-01
    “…Understanding the fire prediction capabilities of fuel models is vital to forest fire management. …”
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    Article
  11. 12531

    Resolving the conformational ensemble of a membrane protein by integrating small-angle scattering with AlphaFold. by Samuel Eriksson Lidbrink, Rebecca J Howard, Nandan Haloi, Erik Lindahl

    Published 2025-06-01
    “…Several strategies have recently been developed to drive the machine learning algorithm AlphaFold2 (AF) to sample multiple conformations, but it is more challenging to a priori predict what states are stabilized in particular conditions and how the transition occurs. …”
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    Article
  12. 12532

    Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent. by Alejandra de-la-Rica-Escudero, Eduardo C Garrido-Merchán, María Coronado-Vaca

    Published 2025-01-01
    “…In this work, driven by the motivation of making DRL explainable, we developed a novel Explainable DRL (XDRL) approach for PM, integrating the Proximal Policy Optimization (PPO) DRL algorithm with the model agnostic explainable machine learning techniques of feature importance, SHAP and LIME to enhance transparency in prediction time. …”
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    Article
  13. 12533

    Clinical interpretation of variants identified in RNU4ATAC, a non-coding spliceosomal gene. by Clara Benoit-Pilven, Alicia Besson, Audrey Putoux, Claire Benetollo, Clément Saccaro, Justine Guguin, Gabriel Sala, Audric Cologne, Marion Delous, Gaetan Lesca, Richard A Padgett, Anne-Louise Leutenegger, Vincent Lacroix, Patrick Edery, Sylvie Mazoyer

    Published 2020-01-01
    “…As RNU4ATAC has a single non-coding exon, the bioinformatic prediction algorithms assessing the effect of sequence variants on splicing or protein function are irrelevant, which makes variant interpretation challenging to molecular diagnostic laboratories. …”
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    Article
  14. 12534

    Screening for MicroRNA combination with engineered exosomes as a new tool against osteosarcoma in elderly patients by Jiyu Han, Jiyu Han, Zitong Zhao, Yanhong Wang, Yanhong Wang, Tao Yu, Daqian Wan, Daqian Wan

    Published 2022-12-01
    “…Next, we used FunRich software to predict the up-stream transcription factors (TFs) of differentially expressed miRNAs (DE-miRNAs). …”
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    Article
  15. 12535

    Efficient Detection of Mind Wandering During Reading Aloud Using Blinks, Pitch Frequency, and Reading Rate by Amir Rabinovitch, Eden Ben Baruch, Maor Siton, Nuphar Avital, Menahem Yeari, Dror Malka

    Published 2025-04-01
    “…A voice activity detection (VAD) technique was also used to recognize human speech. The algorithm achieved 76% accuracy in predicting mind wandering during specific text segments, demonstrating the feasibility of using noninvasive physiological indicators. …”
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    Article
  16. 12536

    Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

    Published 2025-02-01
    “…Finally, model predictive control (MPC) algorithm is employed to generate ship control output sequences, enabling safe and efficient navigation around obstacles from the starting point to the destination. …”
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    Article
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