Ensemble All Time-Scale Decomposition Method and Its Application in Bevel Gear Fault Diagnosis by Zhengyang Cheng, Yu Yang, Chengcheng Duan, Xin Kang, Jianxin Cui

Subjects: “…ensemble all time-scale decomposition…”
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Covid-19 Detection from Chest X-Ray Images and Hybrid Model Recommendation with Convolutional Neural Networks by Furkan Eryılmaz, Hacer Karacan

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Internal climate variability modulates decadal changes in ocean anthropogenic carbon storage by Holly C Olivarez, Nicole S Lovenduski, Elizabeth Maroon, Jens D Müller, Amanda R Fay, Kristen M Krumhardt, Michael N Levy, Keith Lindsay, Galen A McKinley, Jamin K Rader

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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

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Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

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Financial time series classification method based on low‐frequency approximate representation by Bing Liu, Huanhuan Cheng

Subjects: “…complete ensemble empirical mode decomposition with adaptive noise…”
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Managing the Investment Attractiveness of the Federal Subjects of Russia in the Context of the UN Sustainable Development Goals by A. N. Borisov, A. I. Borodin, R. V. Gubarev, E. I. Dzyuba, E. R. Sagatgareev

Subjects: “…investment attractiveness, investment potential, investment risks, regions of russia, artificial intelligence, clustering kohonen map, bayesian ensemble, dynamic neural network models…”
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Comprehensive prediction of potential spatiotemporal distribution patterns, priority planting regions, and introduction adaptability of Elymus sibiricus in the Chinese region by Huan-Huan Lu, Yu-Ying Zheng, Yong-Sen Qiu, Liu-Ban Tang, Yan-Cui Zhao, Wen-Gang Xie

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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

Subjects: “…complementary ensemble empirical mode decomposition…”
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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network by Qingguo Wei, Chang Li, Yijun Wang, Xiaorong Gao

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Klang gegen Rhythmus. Die Entwicklung von Texturen in Vladimir Tarnopolskis Foucault’s Pendulum by Hannes Oberrauter

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Application of ensemble learning techniques to model the atmospheric concentration of SO2 by A. Masih

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Application of machine learning in asphalt and concrete material testing: A comprehensive review by Khorshidi Meisam, Dave Eshan, Sias Jo

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Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting by TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming

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Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method by Ting Ma, Xiaofeng Zhang, Zhexin Miao

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Modeling and analysis of ensemble average solvation energy and solute–solvent interfacial fluctuations by Shao Yuanzhen, Chen Zhan, Zhao Shan

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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

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