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2019_grl_imergdiurnal

Codes in support of "Diurnal Cycle of IMERG V06 Precipitation".

adaptive-morphological-reconstruction-for-seeded-image-segmentation

In this paper, a novel adaptive morphological reconstruction (AMR) operation is proposed. AMR is able to obtain better seed images to improve the seeded segmentation algorithms.

aerocirtree

A system for airport weather forecasting based on circular regression trees

ann-classification

Solving classification problem with ANN

ann-classification-1

Classifying Bank Customer Data using ANN/MLP

automatic-fuzzy-clustering-framework-for-image-segmentation

We proposed an automatic fuzzy clustering framework (AFCF) for image segmentation which is published in Transactions on Fuzzy Systems, 2020.

biascorrectionprecipitation

Bias Correction for Satellite Precipitation Observations

breast-cancer-deep-learning

Breast Cancer classification using deep neural network

cbrain-cam

Code for neural network parameterization project

classification

Classfication experiments with KNN, RandomForest, SVM and Logistic Regression

classification-1

Logistic Regression, K-NN Classification, Support Vector Machine (SVM), Naive Bayes Classification, Decision Tree and Random Forest Tree Classification.

classification-and-regression-task

PLA & LR & NB & KNN & Linear Regression

classification-nyc-property-sales

k-NN classification and regression analysis of NYC rolling real estate sale data.

classification_mlp_shannon_entropy_cost_function

A MLP Neural Network based on Shannon's Entropy of Error as a cost function , for classification.Implemented in Python

climatereconstructionai

Software to train climate reconstruction technology (image inpaiting with partial convolutions) with numerical model output to re-fill missing values in observational datasets like HadCRUT4

cloudsat-gan

Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network

cnn_tkdv

Using Machine Learning to Predict Extreme Events in Complex Systems

coalition-3

COALITION-3: thunderstorm identification and forecasting with AI

comparison-of-prediction-models

Deep Neural Network & Regression (SVM,Linear Regression, ARD Regressor, LassoLars Regressor, TheilSen Regressor )

convlstm-precipitation

Experimentations

data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

dct_based_upsampling

Kwok-Wai Hung, *Wan-Chi Siu, Novel DCT-based Image Up-sampling Scheme using Learning-based Adaptive k-Nearest Neighbor MMSE Estimation, IEEE Trans. on Circuit and Systems for Video technology, vol.24, no.12, pp.2018,2033, Dec. 2014.

deep_learning_weather_forecasting

Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019

deeprain

short term precipitation prediction with a UNet

deepsky

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

deepweather

Convolutional Neural Networks for Weather Forecasting

dlc_extreme

exemplar-based-image-inpainting

extreme-precipitation-forecasting

May 2017 - Thesis during undergraudate career at Indian Institute of Technology Kharagpur

flood_innudation

Using variational interpolation method to remove cloud from flood satellite images