FEATURE AUGMENTED LEARNING FOR MACHINE HEALTH PROGNOSTICS USING CONVOLUTIONAL NEURAL NETWORKS

FEATURE AUGMENTED LEARNING FOR MACHINE HEALTH PROGNOSTICS USING CONVOLUTIONAL NEURAL NETWORKS

Ph.D

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	PILLAI SHANMUGASIVAM THIRAVIYAM
مؤلفون آخرون:	ELECTRICAL & COMPUTER ENGINEERING
التنسيق:	Theses and Dissertations
اللغة:	English
منشور في:	2021
الموضوعات:	Deep learning, Prognostics and health management, Feature augmentation, Remaining useful life, Predictive maintenance, Convolutional neural networks
الوصول للمادة أونلاين:	https://scholarbank.nus.edu.sg/handle/10635/191840
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	National University of Singapore
اللغة:	English

مواد مشابهة

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Cross-layer features in convolutional neural networks for generic classification tasks
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Stealthy and robust backdoor attack on deep neural networks based on data augmentation
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ROBUST PROGNOSTICS FOR AEROSPACE APPLICATIONS
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Natural feature tracking for augmented reality
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Joint Online RUL Prediction for Multivariate Deteriorating Systems
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IMAGING FLUORESCENCE CORRELATION SPECTROSCOPY ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS
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AUGMENTED REALITY IN MAINTENANCE
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منشور في: (2019)

Intelligent Fault Diagnosis under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks
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منشور في: (2022)

Dengue Infection Severity: Prognostic Indicators, Clinical Prediction Rule, and Validation
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Severe Scrub Typhus: Prognostic Indicators, Clinical Prediction Rule and Validation
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Registration using natural features for augmented reality systems
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SuperCNN: A superpixelwise convolutional neural network for salient object detection
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Condition monitoring and remaining useful life prediction using degradation signals: Revisited
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Environmental Archaeology
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DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction
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Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
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Prognostic significance of thymidylate synthase, dihydropyrimidine dehydrogenase and thymidine phosphorylase protein expression in colorectal cancer patients treated with or without 5-fluorouracil-based chemotherapy
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Prognostic significance of thymidylate synthase, dihydropyrimidine dehydrogenase and thymidine phosphorylase protein expression in colorectal cancer patients treated with or without 5-fluorouracil-based chemotherapy
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Hardware-friendly stochastic and adaptive learning in memristor convolutional neural networks
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