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    A hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms by Jorge Paredes, Danilo Chávez, Ramiro Isa-Jara, Diego Vargas

    Published 2025-06-01
    “…This data can provide valuable insights into the behavior of a specific machine, enabling optimization or the prediction of potential malfunctions. Supervised machine learning algorithms are capable of predicting the remaining useful life (RUL) of a machine. …”
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  3. 183
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    Experimental study on the piezoelectric active vibration reduction system of wind tunnel aerodynamic models by LI Weiguang, YANG Zhichun, ZHU Ximing

    Published 2025-02-01
    “…To effectively suppress the flow-induced vibration response of wind tunnel models, a hybrid control algorithm combining the filtered-x least mean square (FxLMS) algorithm and the linear active disturbance rejection control (LADRC) controller is proposed. …”
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  5. 185
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    Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

    Published 2025-06-01
    “…XGBoost Machine Learning Algorithm is used to make predictions, and PSO is used to obtain the optimal mixture. …”
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    Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks by Hamed Mohammadi, Mahnaz Ghaeini-Hessaroeyeh, Ehsan Fadaei-Kermani

    Published 2024-03-01
    “…Regarding this purpose, the genetic algorithm is used by MATLAB software, in which the hydraulic model of the water distribution network is carried out in WaterGEMS software. …”
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  12. 192

    Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans by Faezeh Yousefi, Ali Heidari, Azita Ehsani, Maryam Farhadian, Marzieh Ehsani

    Published 2025-01-01
    “…This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects. …”
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    Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

    Published 2025-01-01
    “…The main objective of this study was to compare different machine learning algorithms to predict daily dry matter intake (DMI) in feedlot cattle. …”
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    Design and analysis of active queue management algorithm based on predictive control by WANG Ping, CHEN Hong, LU Xiao-hui

    Published 2011-01-01
    “…Model predictive control as a novel active queue management(AQM) algorithm was proposed for Internet system with large delay,called MPAQM.Considering the causality of time-delay system,the predicted output was defined.Then,the control requirement was converted to the optimal control objective,and the drop probability was obtained by solving the optimal problem.Furthermore,the delay-independent stability condition of closed-loop system was derived,which gave the guidelines how to select the parameters of MPAQM algorithm to assure the stability and fast convergence of the network system.The performances of MPAQM were evaluated through a series of simulations in NS2 under the single/multiple topology.The simulation results show that the queue length with MPAQM algorithm reaches the desired value with minimal tracking error and lower drop probability.MPAQM algorithm outperforms RED,PI and SPI-RED algorithms in terms of disturbance rejection,stability,and robustness.…”
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  18. 198

    Monthly precipitation prediction based on quadratic decomposition and improved parrot algorithm by Weijie Zhang, Yuming Zeng, Shubo Zhou, Libin Zhang, Haiquan Li, Zhongsheng Yao, Rusheng Zhou

    Published 2025-07-01
    “…To achieve a scientific and effective prediction of regional precipitation, this study proposed a precipitation prediction model based on the CEEMDAN-TVMD-IPO-BiLSTM framework. …”
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    Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm by Hongyan Wang

    Published 2021-01-01
    “…The K-weighted K nearest neighbor algorithm and the partition algorithm are used in the CET-4 test score classification prediction, and the statistical method is used to study the relevant factors that affect the CET-4 test score, and screen classification is performed to predict when the comparison verification will pass. …”
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