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    RS regenerating codes for cloud storage fault-tolerant system by Xi-ai YAN, Da-fang ZHANG, Jin-min YANG, Bo-yun ZHANG

    Published 2016-10-01
    “…RS(Reed-Solomon) regenerating erasure codes was proposed for cloud storage fault-tolerant system,which not only inherited the reliability of the RS encoding,but also achieved the high efficiency of tolerance three faults.Hybrid recovery method of the single fault node based on RS regenerating erasure codes was introduced.And the theoretical lower bound of the number of accessing disks was computed.In theory,the performance evaluation of the storage overhead,decoding efficiency,and repair bandwidth of the RS regenerating erasure codes was carried out.Experiments results show that the repair performance of RS regenerating erasure codes is improved greatly than the similar erasure codes,and the total recovery time of the system is reduced by 20.8%~28.2% using hybrid recovery algorithm in the case of single fault.…”
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  4. 5684

    Rate Estimation of Identical Synchronization by Designing Controllers by Mitul Islam, Bipul Islam, Nurul Islam

    Published 2013-01-01
    “…The paper stresses on the hybrid feedback control technique and the tracking control technique and determines their corresponding maximum, minimum, and average synchronization rates. …”
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    La utilidad didáctica percibida del ChatGPT por parte del alumnado universitario [The educational perceived usefulness of ChatGPT by university students] by Pablo Javier Ortega-Rodríguez, Francisco Javier Pericacho-Gómez

    Published 2025-01-01
    “…La muestra está formada por 152 estudiantes de la Universidad Autónoma de Madrid (79.2% chicas, 20.8% chicos), con una media de edad de 21.3 años. …”
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    Two-Echelon Location-Routing Problem with Time Windows and Transportation Resource Sharing by Yong Wang, Yaoyao Sun, Xiangyang Guan, Yanyong Guo

    Published 2021-01-01
    “…The 2E-LRPTWTRS is formulated as a biobjective optimization model, and obtaining the smallest number of required delivery vehicles and the minimum total operating cost are the two objective functions. A two-stage hybrid algorithm composed of k-means clustering and extended multiobjective particle swarm optimization algorithm is proposed for 2E-LRPTWTRS optimization. …”
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  13. 5693

    Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

    Published 2025-07-01
    “…This study adopts a novel approach by utilizing hybrid models, which offer greater accuracy than individual or ensemble ML models. …”
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    An adaptive NMPC for ROVs trajectory tracking with environmental disturbances and model uncertainties by Yi Zhang, Jianing Zhang, Zhiyang Guo, Lei Zhang, Yuchen Shang

    Published 2025-01-01
    “…A novel hybrid adaptive control method is presented for trajectory tracking of remotely operated underwater vehicles (ROVs) that addresses unknown disturbances and model uncertainties in this paper. …”
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  16. 5696

    Identifying suitable tester for evaluating Striga resistant lines using DArTseq markers and agronomic traits. by Degife Zebire, Abebe Menkir, Victor Adetimirin, Wende Mengesha, Silvestro Meseka, Melaku Gedil

    Published 2021-01-01
    “…Also, it formed many high yielding hybrids with desirable traits under parasite pressure. …”
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  17. 5697

    THE SIGNIFICANCE OF LEGAL REGULATION IN ENSURING CYBER SECURITY IN THE CONDITIONS OF WAR: EXPERIENCE FOR UKRAINE by Vladyslav Horulko

    Published 2024-05-01
    “…The large-scale deployment of a hybrid war against our state seriously affects all aspects of social life. …”
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  18. 5698

    Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques by Zhenya Qi, Yudong Feng, Shoufeng Wang, Chao Li

    Published 2025-01-01
    “…XGBoost outperformed SVR in single model predictions with an R2 value of 0.8632 and RMSE of 40.90, and when optimized, the hybrid XGBoost models showed superior performance, with XGBoost-SMA achieving the highest accuracy. …”
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