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  1. 3861

    Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

    Published 2025-04-01
    “…The Yalong River Basin, characterized by complex hydrological processes and diverse climatic influences, serves as the case study for model validation. …”
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  2. 3862

    Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

    Published 2025-03-01
    “…The DWT–LSTM–SVR stacking ensemble prediction model was obtained by optimally weighting the processed data after prediction by two single models separately. …”
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  3. 3863

    Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

    Published 2025-08-01
    “…Classification models were developed using supervised machine learning algorithms (decision tree, support vector machines, k-nearest neighbor, and neural networks) and evaluated through cross-validation. …”
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  4. 3864

    Using multiple representations to improve student understanding of quantum states by Emily Marshman, Alexandru Maries, Chandralekha Singh

    Published 2024-12-01
    “…One hallmark of expertise in physics is the ability to translate between different representations of knowledge and use the representations that make the problem-solving process easier. In quantum mechanics, students learn about several ways to represent quantum states, e.g., as state vectors in Dirac notation and as wave functions in position and momentum representation. …”
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  5. 3865

    Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition by Branko R MARKOVIĆ, Jovan GALIĆ, Miomir MIJIĆ

    Published 2018-01-01
    “…A speaker dependent scenario is used. For the recognition process, Dynamic Time Warping and Hidden Markov Models methods are applied. …”
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  6. 3866

    Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Rolando Marcel Torres Castillo, Siva Avudaiappan

    Published 2025-04-01
    “…Abstract Waste marble, an industrial byproduct generated from marble cutting and polishing processes, can be effectively utilized as a partial replacement in concrete mixtures. …”
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  7. 3867

    Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

    Published 2025-06-01
    “…The 35 rasterized LiDAR metrics (GeoTIFF files, 10 m resolution) from all sites, including Comino, as well as the corresponding site boundary shapefiles (geospatial vector format), are provided in a Zenodo repository. …”
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  8. 3868

    Introduction to Thermal Field Theory: From First Principles to Applications by Alberto Salvio

    Published 2025-01-01
    “…The second part is dedicated to the computation of thermal Green’s function for scalars, vectors, and fermions with path-integral methods. …”
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  9. 3869

    PUBLIC SECTOR CONCEPTUALIZATION OF ECONOMY IN SYSTEM OF ECONOMIC AND THEORETICAL KNOWLEDGE by Y. Hirnyk

    Published 2017-06-01
    “…The paper investigates process of establishing the structure of the phenomenon of the public sector and its interaction with the challenges of the modern world and the global economy. …”
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  10. 3870

    Antioptimisation of Trusses Using Two-Level Population-Based Incremental Learning by Phinit Tontragunrat, Sujin Bureerat

    Published 2013-01-01
    “…The numerical results show that the concept of using PBIL probability vectors for handling the antioptimisation of truss is powerful and effective. …”
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  11. 3871

    Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

    Published 2024-01-01
    “…Besides, the SBRIC-OPADL technique exploits the EfficientNet model for the extraction of feature vectors. Moreover, the hyperparameter tuning process of the EfficientNet model takes place using OPA. …”
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  12. 3872

    Pedagogical management in the digital educational environment: Theoretical aspect by S. S. Kulikova, O. V. Yakovleva

    Published 2022-02-01
    “…The features and nature of pedagogical management in digital educational environment were determined, its structural components were highlighted: motivational-target, information-content, organisational-activity and control-evaluative. The vectors of strengthening the professional training of specialists in the field of education were determined.Scientific novelty. …”
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  13. 3873

    DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data by Jiale Li, Zikang He, Guomin Zhou, Shen Yan, Jianhua Zhang

    Published 2024-11-01
    “…This method can predict wheat yield based on genotype data and has innovations in the following four aspects: (1) The data feature extraction layer of DeepAT can extract representative feature vectors from high-dimensional SNP data. By introducing the ReLU activation function, it enhances the model’s ability to express nonlinear features and accelerates the model’s convergence speed; (2) DeepAT can handle high-dimensional and complex genotype data while retaining as much useful information as possible; (3) The feature relationship capture layer of DeepAT effectively captures the complex relationships between features from low-dimensional features through a self-attention mechanism; (4) Compared to traditional RNN structures, the model training process is more efficient and stable. …”
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  14. 3874

    Vertical Integration on Russian Metallurgical Market: Preconditions and Consequences by E. A. Braiko

    Published 2025-01-01
    “…The article analyzes the process of building metallurgical industry in Russia, key landmarks of its formation, which led to its current standing as vertically integrated companies. …”
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  15. 3875

    TEACHER'S PROFESSIONAL DEVELOPMENT: PSYCHOLOGICAL MECHANISMS AND DETERMINANTS by E. V. Yezhak

    Published 2014-12-01
    “…The obtained data are typed. The reference vectors of the development of the teaching subject are determined. …”
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  16. 3876

    Identifying daily life vulnerability and regional homeostasis: verbalising homeostasis landscape in regional policy for disaster areas of Tohoku, Japan by Setsuko Onoda

    Published 2025-04-01
    “…If we view vulnerabilities as part of the regional complementary process, they can serve as multi-faceted political vectors for reform. …”
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  17. 3877

    The Surface Water and Ocean Topography Mission (SWOT) Prior Lake Database (PLD): Lake Mask and Operational Auxiliaries by Jida Wang, Claire Pottier, Cécile Cazals, Marjorie Battude, Yongwei Sheng, Chunqiao Song, Md Safat Sikder, Xiao Yang, Linghong Ke, Manon Delhoume, Marielle Gosset, Rafael Reis Alencar Oliveira, Manuela Grippa, Félix Girard, George H. Allen, Xiangtao Xu, Xiaolin Zhu, Sylvain Biancamaria, Laurence C. Smith, Jean‐François Crétaux, Tamlin M. Pavelsky

    Published 2025-03-01
    “…The PLD will be recursively improved throughout the mission lifetime and serves as a critical framework for organizing, processing, and interpreting SWOT observations over lacustrine environments with fundamental significance to lake system science.…”
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  18. 3878
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  20. 3880

    RIEDEL MEGASHEARS R' AND THE TREND TO GRAVITATIONAL EQUILIBRIUM AS MAIN FACTORS OF TSUNAMIGENIC EARTHQUAKES by M. A. Goncharov, E. A. Rogozhin, N. S. Frolova, P. N. Rozhin, V. S. Zakharov

    Published 2015-09-01
    “…We assumed that nature cannot be ‘tolerant’ for a long time, and found an opposite natural reaction (mainly in the case of the Tohoku earthquake in Japan on March 11, 2011) – subsidense of the Earth surface segment adjacent to the island arc and uplift of the surface segment adjacent to the trench, accompanied by horizontal movement of the material from the arc towards the trench (Figs. 47–54, and 58). This process has a trend of declining relief contrast between the arc and the trough and inversion of the sign of gravity anomalies (Figs. 44–46). …”
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