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Research on Remaining Useful Life Prognostics based on Fuzzy Evaluation-Gaussian Process Regression Method

by Kang, Weijie, Xiao, Jiyang, Xiao, Mingqing, Hu, Yangguang, Zhu, Haizhen, Li, Jianfeng
Published in IEEE access (01.01.2020)

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A Prognostic Nested k-Nearest Approach for Microwave Precipitation Phase Detection over Snow Cover

by Takbiri, Zeinab, Ebtehaj, Ardeshir, Foufoula-Georgiou, Efi, Kirstetter, Pierre-Emmanuel, Turk, F. Joseph
Published in Journal of hydrometeorology (01.02.2019)

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An Unsupervised Reconstruction-Based Fault Detection Algorithm for Maritime Components

by Ellefsen, Andre Listou, Bjorlykhaug, Emil, Aesoy, Vilmar, Zhang, Houxiang
Published in IEEE access (2019)

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Data-driven prognostic method based on self-supervised learning approaches for fault detection

by Wang, Tian, Qiao, Meina, Zhang, Mengyi, Yang, Yi, Snoussi, Hichem
Published in Journal of intelligent manufacturing (01.10.2020)

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Prognostics of gas turbine engine: An integrated approach

by Zaidan, Martha A., Relan, Rishi, Mills, Andrew R., Harrison, Robert F.
Published in Expert systems with applications (01.12.2015)

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Deep learning-based prognostic assessment of polyploid giant cancer cells and mitotic figures in liver cancer

by Yang, Jingying, Chen, Cuimin, He, Qiming, Li, Jiayi, Li, Houqiang, Peng, Jing, Cheng, Junru, Li, Meihui, Zhou, Xiaozhuan, He, Yonghong, Guan, Tian, Li, Xi, Jiang, Danling
Published in Medical & biological engineering & computing (01.10.2025)

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Multi-Omics Data Analysis Identifies Prognostic Biomarkers across Cancers

by Demir Karaman, Ezgi, Işık, Zerrin
Published in Medical sciences (Basel) (27.06.2023)

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Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks

by Figueroa Barraza, Joaquín, López Droguett, Enrique, Martins, Marcelo Ramos
Published in Sensors (Basel, Switzerland) (01.09.2021)

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Validation of Data-Driven Labeling Approaches Using a Novel Deep Network Structure for Remaining Useful Life Predictions

by Ellefsen, Andre Listou, Ushakov, Sergey, Aesoy, Vilmar, Zhang, Houxiang
Published in IEEE access (2019)

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A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

by Tobon-Mejia, D. A., Medjaher, K., Zerhouni, N., Tripot, G.
Published in IEEE transactions on reliability (01.06.2012)

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System Maintenance Scheduling With Prognostics Information Using Genetic Algorithm

by Camci, F.
Published in IEEE transactions on reliability (01.09.2009)

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Particle filter based hybrid prognostics for health monitoring of uncertain systems in bond graph framework

by Jha, Mayank Shekhar, Dauphin-Tanguy, G., Ould-Bouamama, B.
Published in Mechanical systems and signal processing (15.06.2016)

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Current status of machine prognostics in condition-based maintenance: a review

by Peng, Ying, Dong, Ming, Zuo, Ming Jian
Published in International journal of advanced manufacturing technology (01.09.2010)

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Search Filters for Finding Prognostic and Diagnostic Prediction Studies in Medline to Enhance Systematic Reviews

by Geersing, Geert-Jan, Bouwmeester, Walter, Zuithoff, Peter, Spijker, Rene, Leeflang, Mariska, Moons, Karel
Published in PloS one (29.02.2012)

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Deep Learning-Based Prognostics and Health Management Model for Pilot-Operated Cryogenic Safety Valves

by Kim, Minho, Seong, Hansaem, Kim, Dohyun
Published in Sensors (Basel, Switzerland) (12.03.2024)

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A Data-Driven Health Prognostics Approach for Steam Turbines Based on Xgboost and DTW

by Que, Zijun, Xu, Zhengguo
Published in IEEE access (2019)

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Ontology-augmented Prognostics and Health Management for shopfloor-synchronised joint maintenance and production management decisions

by Polenghi, Adalberto, Roda, Irene, Macchi, Marco, Pozzetti, Alessandro
Published in Journal of industrial information integration (01.05.2022)

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Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment

by Cömert, Zafer, Kocamaz, Adnan Fatih, Subha, Velappan
Published in Computers in biology and medicine (01.08.2018)

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An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers

by Naseem, Usman, Rashid, Junaid, Ali, Liaqat, Kim, Jungeun, Haq, Qazi Emad Ul, Awan, Mazhar Javed, Imran, Muhammad
Published in IEEE access (2022)

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Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning

by Sresakoolchai, Jessada, Kaewunruen, Sakdirat
Published in Scientific reports (11.04.2022)

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