IMAGING FLUORESCENCE CORRELATION SPECTROSCOPY ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS

IMAGING FLUORESCENCE CORRELATION SPECTROSCOPY ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS

Master's

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	SIM SHAO REN
مؤلفون آخرون:	BIOLOGICAL SCIENCES
التنسيق:	Theses and Dissertations
اللغة:	English
منشور في:	2022
الموضوعات:	imaging fluorescence correlation spectroscopy, machine learning, convolutional neural networks, neural networks, data analysis, deep learning
الوصول للمادة أونلاين:	https://scholarbank.nus.edu.sg/handle/10635/225058
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

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Intelligent Fault Diagnosis under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks
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Score-based Fusion Schemes for Plant Identification from Multi-organ Images
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Image thresholding improves 3-dimensional convolutional neural network diagnosis of different acute brain hemorrhages on computed tomography scans
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منشور في: (2019)

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بواسطة: BENJAMIN FRANCK CHRISTOPHE SCELLIER
منشور في: (2015)

A survey on deep learning in image polarity detection : balancing generalization performances and computational costs
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Motion context network for weakly supervised object detection in videos
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GFANC-RL: reinforcement learning-based generative fixed-filter active noise control
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Biomedical image classification based on a feature concatenation and ensemble of deep CNNs
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Norm-based generalisation bounds for deep multi-class convolutional neural networks
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THE STUDY OF NODAL PROTEIN DYNAMICS AND INTERACTIONS IN LIVING ZEBRAFISH EMBRYOS BY FLUORESCENCE CORRELATION AND CROSS-CORRELATION SPECTROSCOPY
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Convolutional neural networks with dynamic regularization
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A multi-task CNN learning model for taxonomic assignment of human viruses
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EFFICIENT DEEP CONVOLUTIONAL ARCHITECTURES FOR IMAGE AND VIDEO REPRESENTATION LEARNING
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Deep neural network-based bandwidth enhancement of photoacoustic data
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