[PDF] Top 20 Fake News Detection using Convolution Neural Network in Deep Learning
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Fake News Detection using Convolution Neural Network in Deep Learning
... obtaining news from social media is like Double edged ...relevant news, possibility for obtaining various perspective of a single news and is being updated in every ...hand, news is being ... See full document
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A Convolution Neural Network Based Deep Learning System for Brain Tumor Detection towards MRI Image Segmentation
... is using various segmentation technique such as trilateral filtering followed by EMGM segmentation, fuzzy logic techniques such as fuzzy c means and fuzzy k means neural networks such as SOM FNN and ... See full document
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A Deep Learning Approach For Brain Tumor Segmentation Using Convolution Neural Network
... Post-processing performed by considering small parts of images or clusters may often be wrongly recognized as a tumor. To overcome this problem, Volumetric constrains are imposed on a cluster to remove those clusters ... See full document
6
Deep Belief Networks Using Convolution Neural Networks Algorithm
... of deep learning is not new to higher educatio n. However, deep learning has drawn more attention in recent years as institutions attempt to tap their student’s full learning ...a ... See full document
8
Fake News Detection using Deep Markov Random Fields
... the fake news detection on social media as an inference problem in an MRF model that can be solved using the mean-field ...the deep learning lit- erature, we can unfold it into ... See full document
10
Research on image classification model based on deep convolution neural network
... trieval. Convolution neural network (CNN) is very inter- ested in machine learning and has excellent performance in hyperspectral image ...for learning contextual interaction features ... See full document
11
Deep Learning Based Crime Investigation Framework
... data. Deep Convolution Neural Networks (DCN) [27] can be used effectively for text ...the Deep CNN model. It has the convolution cells or the pooling cells and the kernel ... See full document
5
Research on Face Detection based on Deep Learning
... the deep learning method and the convolution neural network model for face detection, which can be better for facial landmark ...Alexnet convolution neural ... See full document
7
JUSTDeep at NLP4IF 2019 Task 1: Propaganda Detection using Ensemble Deep Learning Models
... for fake news detection using Naive Bayes classifier, where they applied the model on Facebook ...that using Naive Bayes classifier with n-gram is better than not using ... See full document
6
Image Description Using Deep Neural Network
... machine learning has demonstrated some great abilities at detecting and recognizing objects in natural ...uses deep learning Convolution Neural Network and Recurrent ... See full document
6
Intrusion Detection System using Recurrent Neural Network with Deep Learning
... a network intrusion detection system using convolutional neural networks (CNN) based classifier for enhancing the precision of model based on LeNet-5 to classify the network ...by ... See full document
9
Fake news identification on Twitter with hybrid CNN and RNN models
... Deep learning models such as CNN and RNN often require much larger datasets, and in some cases multiple layers of neural networks for the effective training of their ... See full document
6
Survey on Unmanned Aerial Vehicle based Weeds Detection using Deep Neural Networks
... on detection of weeds in the crop through ...automatic detection of weeds remains a challenging problem because of their strong similarity to the ...a deep learning approach, Convolutional ... See full document
8
Plant Stress Detection Accuracy Using Deep Convolution Neural Networks
... Stress detection is a vital farming activity for enhanced productivity of crops and food ...security. Convolution Neural Networks (CNN) focuses on the complex relationships on input and output layers ... See full document
8
Fake News Detection using Support Vector Machine learning Algorithm
... machine learning methods: Naive Bayes, Neural Network, Support vector machine, are very good at detecting Fake news There are classified to two classes with believable and ...for ... See full document
7
Automated detection of weather fronts using a deep learning neural network
... Abstract. Deep learning (DL) methods were used to develop an algorithm to automatically detect weather fronts in fields of atmospheric surface ...automatic detection of fronts was developed by ... See full document
14
A Review on Lung Cancer Detection using Convolution Neural Network
... Wang, Learning deep spatial lung features by 3D convolutional neural network for early cancer detection [5] From the deep spatial lung feature they explore the lung cancer in ... See full document
5
A Novel Method for Remotely Sensed Hyperspectral Image Classification Based on Convolutional Neural Network
... In this study, a new eight layer HSI classification model based on deep convolutional neural network is proposed. The proposed CNN Model takes the input of both spectral and spatial data as a patch ... See full document
10
Real-Time Life Saving Drones
... Abstract: This research aims to implement a better solution to the bore-well accidents. The challenges involved in rescue operations are nature of rock, depth and diameter of bore-well, incident site condition and so on. ... See full document
7
Emotion Recognition And Classification Using Eeg: A Review
... neural network (HCNN) [55] was applied to transfer input DE maps from input layer to output ...graph convolution neural network (DGCNN) was proposed for studying nonlinear ... See full document
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