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  1. 2641

    Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information by Siyu Han, Yanchun Liang, Ying Li, Wei Du

    Published 2016-01-01
    “…More and more studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in diversity of biological process and are also associated with various types of disease. …”
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    Article
  2. 2642

    Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

    Published 2021-11-01
    “…Firstly, the elements of the Markov Decision Process and action-value function in the model is defined. …”
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    Article
  3. 2643

    High-Fold 3D Gaussian Splatting Model Pruning Method Assisted by Opacity by Shiyu Qiu, Chunlei Wu, Zhenghao Wan, Siyuan Tong

    Published 2025-02-01
    “…Our approach integrates learnable Gaussian masks with a contribution-based pruning mechanism, further enhanced by an opacity update strategy to facilitate the pruning process. This method effectively eliminates redundant Gaussian points and those with minimal contributions to scene construction. …”
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  4. 2644

    Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

    Published 2025-04-01
    “…This approach provides insights into the model’s decision-making process, clarifying the complex nature of machine learning algorithms. …”
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    Article
  5. 2645

    Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

    Published 2025-05-01
    “…Grinding, as the most crucial finishing process for bearing rings, influences the surface integrity of bearings through the roughness of the ground surface. …”
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  6. 2646

    Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

    Published 2025-01-01
    “…We propose a novel approach for boosting the realized gain of arrays with enhanced directivity, utilizing both active and parasitic dipoles. The optimization process first maximizes the end-fire gain in the active array by selecting the optimal current excitation vector. …”
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  7. 2647

    Egg Microinjection for the Silkworm Bombyx mori by Hayato Yamada, Toshinobu Yaginuma, Keisuke Mase, Teruyuki Niimi

    Published 2025-05-01
    “…Conventional methods involve arranging eggs, pre-pierced with a tungsten needle, followed by solution injection, making the process both time-consuming and technically demanding. …”
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    Article
  8. 2648

    Machine learning in subsurface physical properties and lithofacies prediction in a mining context by A. Balaguera, M. Torné, R. Carbonell, A. Martí, J. Vergés, M. J. Jurado, P. Sánchez-Pastor, A. Farci, D. Davoise, S. Rodríguez

    Published 2025-07-01
    “…A robust quality control process, aided by Machine Learning models (ML), refined the PPR data, ensuring accuracy and reliability. …”
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    Article
  9. 2649

    Network analysis of aging acceleration reveals systematic properties of 11 types of cancers by Xiaoqiong Xia, Mengyu Zhou, Hao Yan, Sijia Li, Xianzheng Sha, Yin Wang

    Published 2019-07-01
    “…The DNAm aging scores were calculated using the Support Vector Machine regression model. The DNAm aging scores of cancers revealed significant aging acceleration compared to adjacent normal tissues. …”
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  10. 2650

    A Developed LSTM-Ladder-Network-Based Model for Sleep Stage Classification by Ruichen Li, Bei Wang, Tao Zhang, Takenao Sugi

    Published 2023-01-01
    “…The developed model is implemented based on a transductive learning scheme to avoid the issue of accuracy loss caused by individual differences. In this process, the labeled data pre-trains the encoder, and the unlabeled data re- fine the model parameters by minimizing the reconstruction loss. …”
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    Article
  11. 2651
  12. 2652

    Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm by Ali Muhammad Usman, Umi Kalsom Yusof, Maziani Sabudin

    Published 2022-02-01
    “…Dimensionality reduction is among the data mining process that is used to reduce the noise and complexity of features in various datasets. …”
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    Article
  13. 2653

    Innovative pitcher-shaped antenna with dual notches on a flexible leather substrate for c-band communication by Anurag Saxena, Raghav Agarwal, Vinod Kumar Singh, Ramesh Kumar Verma, Ratnesh Tiwari

    Published 2025-06-01
    “…There is a pitcher-shaped radiating element which is designed with a defective ground. The process known as microstrip linefeed is utilized in order to provide the power in antenna. …”
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    Article
  14. 2654

    VE-GCN: A Geography-Aware Approach for Polyline Simplification in Cartographic Generalization by Siqiong Chen, Anna Hu, Yongyang Xu, Haitao Wang, Zhong Xie

    Published 2025-02-01
    “…Polyline simplification is a critical process in cartographic generalization, but the existing methods often fall short in considering the overall geographic morphology or local edge and vertex information of polylines. …”
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  15. 2655

    Analytical modeling method for electromagnetic linear actuators considering end effects by Yuxin LI, Bo LI, Wenqing GE, Jiayu LU, Jiewei CHEN

    Published 2025-08-01
    “…This method can effectively consider the influence of the end cap on the magnetic field distortion, which provides theoretical reference for solving the electromagnetic characteristics of the electromagnetic linear actuator quickly and accurately, optimizing the structural parameters and the control process.…”
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  16. 2656

    Enhancing Spraying Performance with Active Stability Control in Multi-Link Mechanisms by Naiyu Shi, He Li, Yongkang Yang, Hongliang Hua, Junhong Ye, Zheng Chen, Ting Xu

    Published 2025-01-01
    “…First, a differential equation was established to relate the input speed to the output speed using vector methods, implicit function transformation to explicit functions, and regression analysis. …”
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  17. 2657

    Developing decision making framework on built-up site suitability assessment for urban regeneration in the industrial cities of Eastern India by Harekrishna Manna, Suraj Kumar Mallick, Sanjit Sarkar, Sujit Kumar Roy

    Published 2025-02-01
    “…Therefore, evaluating the prospective suitable sites for built-up area development is important to make sustainable urban planning through the urban regeneration process in the industrial-based urban area Asansol Municipal Corporation (AMC). …”
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  18. 2658

    High-efficient transgenic hairy roots induction in chicory: re-dawn of a traditional herb by Sara Kabirnataj, Ghorbanali Nematzadeh, Jafar Zolala, Ahmad Farhad Talebi

    Published 2016-10-01
    “…In conclusion, the whole process was successfully optimized as a pre-step to manipulate the chicory hairy root cells to improve the unique potential of secondary metabolite production.…”
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  19. 2659

    Research on ATT-BiLSTM-Based Restoration Method for Deflection Monitoring Data of a Steel Truss Bridge by Yongjian Chen, Rongzhen Liu, Jianlin Wang, Fan Pan, Fei Lian, Hui Cheng

    Published 2025-08-01
    “…Given the intricate operating environment of steel truss bridges, data anomalies are frequently initiated by faults in the sensor monitoring system itself during the monitoring process. This paper utilizes a steel truss bridge as a case study in engineering, with a primary focus on the deflection of the main girder. …”
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  20. 2660

    Controlled Synthesis of TiB2-TiC Composite: Substantiation of the Homogenizing Joule Thermostatting Efficiency and Improvement of SHS-Compaction Technology in a Vacuum by Gigo Jandieri, David Sakhvadze

    Published 2024-09-01
    “…The task of controlled Joule heating is a compensation of the temperature gradient formed in the synthesized workpiece, which is solved by passing in it a direct current directed in line with the vector of propagation of the combustion wave. An indicator of assessment of the degree of compensation of the noted temperature gradient is the Seebeck effect, excited between the upper and lower surface of the SHS workpiece, which should be brought to zero in the process of Joule thermostatting. …”
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