Fault Prediction of Hydropower Station Based on CNN-LSTM-GAN with Biased Data by Bei Liu, Xiao Wang, Zhaoxin Zhang, Zhenjie Zhao, Xiaoming Wang, Ting Liu

“…Finally, a dynamic multi-task training algorithm is proposed to ensure the convergence and training efficiency of the deep models. Experimental results show that compared with RNN, GRU, SVM, and threshold detection algorithms, the proposed fault prediction method improves the accuracy performance by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5.5</mn><mo>%</mo></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>4.8</mn><mo>%</mo></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>7.8</mn><mo>%</mo></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>9.3</mn><mo>%</mo></mrow></semantics></math></inline-formula>, with at least a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>160</mn><mo>%</mo></mrow></semantics></math></inline-formula> improvement in the fault recall rate.…”
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Optimizing Human Resources for Efficiency and Sustainability through Business Process Modelling with Large Language Models by Réka Koteczki, Boglárka Eisinger Balassa, Dániel Csikor

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Supporting Sustainable Workforce Management for Worker Illness Absence Through Predictive Analytics by Ida Lumintu, Achmad Maududie

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Application of Machine Learning Methods for Employee Turnover Prediction Based on Open Data by A. N. Kazinets

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Assessing subseasonal forecast skill for use in predicting US coastal inundation risk by J. R. Albers, M. Newman, M. A. Balmaseda, W. Sweet, W. Sweet, Y. Wang, Y. Wang, T. Xu, T. Xu

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Predicting the Development of Complications After Mitral Valve Repair Using Mathematical Analysis by D. A. Matsuganov, M. D. Nuzhdin

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Research and predictive analysis of pyrolysis characteristics of multi-source organic solid wastes by ZHANG Zihang, XING Bo, MA Zhongqing, HU Yanjun, ZHANG Zhixiao, YUAN Shizhen, LU Rufei, CHEN Yingquan, WANG Shurong*

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Prediction of blastocyst development using cleavage-stage embryo metrics and maternal age by Hong Ji, Qiaomei Bai, Lu Ding, Lizhi Jiang, Yingying Shi, Longmei Wang, Li Meng, Ping Li

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Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage by Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov

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Data-Driven Digital Twin Framework for Predictive Maintenance of Smart Manufacturing Systems by Tarana Khan, Urfi Khan, Adnan Khan, Calahan Mollan, Inga Morkvenaite-Vilkonciene, Vijitashwa Pandey

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Prediction of Myopia Among Undergraduate Students Using Ensemble Machine Learning Techniques by Isteaq Kabir Sifat, Tajin Ahmed Jisa, Jyoti Shree Roy, Nourin Sultana, Farhana Hasan, Md Parvez Mosharaf, Md. Kaderi Kibria

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Predicting layer thicknesses by numerical simulation for meniscus-guided coating of organic photovoltaics by Fabian Gumpert, Annika Janßen, Christoph J. Brabec, Hans-Joachim Egelhaaf, Jan Lohbreier, Andreas Distler

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An efficient IoT-based crop damage prediction framework in smart agricultural systems by Nermeen Gamal Rezk, Abdel-Fattah Attia, Mohamed A. El-Rashidy, Ayman El-Sayed, Ezz El-Din Hemdan

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Critical factors to predict efficacy of orthokeratology in inhibiting axial elongation in myopic children by Yuanqi Deng, Xuewei Li, Mingwei Zhao, Yan Li, Kai Wang

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Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO by Sachikanta Dash, Sasmita Padhy, Preetam Suman, Sandip Mal, Lokesh Malviya, Amrit Suman, Jaydeep Kishore

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Enhanced prediction of thrombotic events in hospitalized COVID-19 patients with soluble thrombomodulin. by Sergio Padilla, María Andreo, Pascual Marco, Ana Marco-Rico, Christian Ledesma, Marta Fernández-González, Javier García-Abellán, Paula Mascarell, Ángela Botella, Félix Gutiérrez, Mar Masiá

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Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

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Identification of cancer-associated fibroblast signature genes for prognostic prediction in colorectal cancer by Wei Jin, Yuchang Lu, Jingen Lu, Zhenyi Wang, Yixin Yan, Biao Liang, Shiwei Qian, Jiachun Ni, Yiheng Yang, Shuo Huang, Changpeng Han, Haojie Yang

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Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles by Ehsan Momeni, Ramli Nazir, Danial Jahed Armaghani, Harnedi Maizir

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Predicting and evaluating slope stability in permafrost regions of the central Qinghai‒Tibetan Plateau by Fei Wang, Bo Huang, Mikhail Zhelezniak, Xiao-Ying Li, Alexander Zhirkov, Qi-Hao Yu, Zhi Wen

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