miladmasroor

COVID-19-detection

Forecasting-short-term-hydrocarbon-production-time-series

This code is an introduction to hydrocarbon production time series forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks (CNNs and RNNs).

GAN-boosted-Artificial-Neural-Networks

A vital component of this code is using a deep Artificial Neural Network (ANN) structure known as the Generative Adversarial Network (GAN). The GAN structure is combined with regressor (predictive) ANNs, to boost their performance when estimating the target parameter.

Tutorial-Codes

Bachelor-Thesis

Thesis Topic: Prediction of NMR permeability based on conventional well logging data using Artificial Neural Networks (Under the Supervision of Dr. Mohammad Emami Niri)

Multiple-input-deep-residual-CNN

A multiple-input deep residual convolutional neural network for reservoir permeability prediction

Group-Method-of-Data-Handling-GMDH-Neural-Network

milad_masroor_thesis_presentation

The presentation of master thesis

Simulation-of-Multiphase-Flow-in-Wells-and-Pipelines-in-MATLAB

MEDFAIR

[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging

miladmasroor/Multiple-input-deep-residual-CNN

A multiple-input deep residual convolutional neural network for reservoir permeability prediction

miladmasroor/Bachelor-Thesis

Thesis Topic: Prediction of NMR permeability based on conventional well logging data using Artificial Neural Networks (Under the Supervision of Dr. Mohammad Emami Niri)

miladmasroor/Tutorial-Codes

miladmasroor/Forecasting-short-term-hydrocarbon-production-time-series

This code is an introduction to hydrocarbon production time series forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks (CNNs and RNNs).

miladmasroor/Group-Method-of-Data-Handling-GMDH-Neural-Network

miladmasroor/COVID-19-detection

miladmasroor/GAN-boosted-Artificial-Neural-Networks

A vital component of this code is using a deep Artificial Neural Network (ANN) structure known as the Generative Adversarial Network (GAN). The GAN structure is combined with regressor (predictive) ANNs, to boost their performance when estimating the target parameter.

miladmasroor/Simulation-of-Multiphase-Flow-in-Wells-and-Pipelines-in-MATLAB

miladmasroor/milad_masroor_thesis_presentation

The presentation of master thesis