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A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings
A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings
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A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings

Lin, Ping-Ju ; Zhai, Xiaoxue ; Li, Wei ; Li, Tianyi ; Cheng, Dandan ; Li, Chong ; Pan, Yu ; Ji, Linhong

Biomedical and Health Informatics, IEEE Journal of, 2022, Vol.26, p.6003-6011

IEEE

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Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets
Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets
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Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets

Shimizu, Minoru ; Perinpanayagam, Suresh ; Namoano, Bernadin ; Starr, Andrew

Access, IEEE, 2023, Vol.11, p.28724-28734

IEEE

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Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer
Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer
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Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer

Lv, Wenbing ; Feng, Hui ; Du, Dongyang ; Ma, Jianhua ; Lu, Lijun

Access, IEEE, 2021, Vol.9, p.81818-81827

IEEE

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4
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
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A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis

Badihi, Hamed ; Zhang, Youmin ; Jiang, Bin ; Pillay, Pragasen ; Rakheja, Subhash

Proceedings of the IEEE, 2022, Vol.110, p.754-806

IEEE

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