Fellowship at Vodafone FutureLab

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deep learning machine learning image processing medical segmentation smart city computer vision fuzzy clustering application clustering fuzzy clustering c-means zfnet densenet resnet convolution imagenet alexnet segmentation udacity artificial inteligience smart airports network edge detection medical imaging mrep repeat detection medical dna computer cell segmentation visual screening protein sfcm topologies graph centrality skfcm data mining k-means mask-rcnn deeplearning aydin ayanzadeh nodes routing networking vgg neural network deeplearning optimization smart transportation application self-driving lane detection kaggle autonomous driving lane finder transportation smart charging smartphone pixel svm gaussian kernel bgp مسیریابی سیستم های خودمختا canny پردازش تصاویر و تشخیص پلاک filter sobel robert پوچ گرایی e-comercial business بازرگانی تجارت الکترونیک social introduction of society society جامعه شناسی iamage

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Protein family specific models using deep neural networks and transfer learning improve virtual screening and highlight the need for more data

Vor 4 Jahren • 233 Aufrufe

Fellowship at Vodafone FutureLab

Präsentationen

image processing

Introduce of society

تجارت الکنرونیک

پوچ گرایی

پردازش تصاویر و تشخیص پلاک تصاویر

پردازش تصاویر رنگی وکاربرد آن

Bgp(مسیریابی سیستم های خودمختار)

Gaussian Three-Dimensional SVM for Edge Detection Applications

presntation about smart charging for the vehicles

Term project proposal image processing project

udacity Advance Lane identification (progress presentation)

Kaggle Dog breed Identification

udacity Advance Lane identification

AlexNet(ImageNet Classification with Deep Convolutional Neural Networks)

AlexNet(ImageNet Classification with Deep Convolutional Neural Networks)

Estimating Number of People in ITU-EEB as an Application of People Counting Techniques

A machine learning based protocol for efficient routing in opportunistic networks

Semantic segmentation with Convolutional Neural Network Approaches

Fuzzy Clustering(C-means, K-means)

Spatial information Fuzzy C-mean(SFCM)

Protein family specific models using deep neural networks and transfer learning improve virtual screening and highlight the need for more data

Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images

Mreps efficient and flexible detection of tandem repeats in dna

Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method

Dokumente

Report for Smart aiport application

Possible Application for smart Airports

Smart city take home question answers

CENTRALITY OF GRAPH ON DIFFERENT NETWORK TOPOLOGIES

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