Deep Nuke

IAEA Data Visualization Challenge Awarded

Side Event #7 “Data Visualization Challenge” on Thursday,

10 October 2019 (16:00-17:00 CET)

Harim Jung, Nuclear Data Scientist

01 /  IAEA PRIS Data

Using the IAEA PRIS official Dataset from www.pris.iaea.org

Gathering the dataset from country statistics detail

Preprocessing with Pandas

02 / Tableau SW

Using the Tableau Software to visualize the original numeric dataset.

Design the intuitive functions to manipulate the dataset into visual pattern.

BUSINESS
GROWTH

All Rights Reserved.

This Visualization belongs to IAEA( International Atomic Energy Agency), made by Harim Jung

 

Deep Nuke 

Big Data Explore & Pre-Processing

Using the State-of-the-Art of the Big Data Analyzing based on Python

Pandas, Numpy, & Matplotlib

Machine Learning 
in Nuclear Data

Using the State-of-the-Art of the Machine Learning Technique based on Python

Scikit-Learn, Seaborn, Pandas, & Matplotlib

Deep Learning
in Nuclear Data

Using the State-of-the-Art of the Deep Learning Technique based on Tensorflow & Keras

RNN-LSTM, CNN, GAN,  & DQN

 

Deep Nuke Project

Design the 
RNN-LSTM
Prediction 
TensorFlow
Model
Deep Learning Research 
Prediction of Fukushima Daiichi Radiation Dose Rate using RNN-LSTM, 2019, CNU
 
Author-Harim Jung
Machine Learning & Data Visualization
Topic Modeling -2D & 3D
IAEA Publication of Climate Change and Nuclear Power 2018 
Figure out the most frequent words and Correlation & Similarity of the nearest words in the vectorized shape
Word2Vec, Seaborn, Pandas, & Tensorflow
IAEA Publication
Topic Modeling
IAEA Publication
Word2Vec Embedding
Data Visualization
Tableau Dashboard
Nuclear Energy as Planets and Trees
Creator-Harim Jung
Go to the URL and check the Dynamic & Vivid Data visualization

All Rights Reserved.

This Visualization belongs to IAEA( International Atomic Energy Agency), made by Harim Jung

 

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