Past

Development of L-System Grammer

By expressing the growth rules in 3D and considering the color changes in our rules, we graphically represented a 3D forest consisting of at least five different plant species.

Development of L-System Grammer

Bio-Inspired Optimization methods

Solving some standard and common optimization problems that are used to compare optimization algorithms using the algorithms of Artificial Bee Colony, Firefly, and Particle Swarm Optimization.

The effect of the combination of economic and social analysis on the prediction of stock price fluctuations

Implementing the best model for the prediction of stock price fluctuations.

The effect of the combination of economic and social analysis on the prediction of stock price fluctuations

Deep Reinforcement Learning for Cartpole Environment

Using deep neural networks to train our agent in cartpole environment from the gym.

Deep Reinforcement Learning for Cartpole Environment

Generating music using LSTMs

Music generated by deep neural networks.

An analysis of Telegram channels related to the dollar and its price

Analysis of Telegram channels using NetworkX Library and Geghi software.

An analysis of Telegram channels related to the dollar and its price

Classifying images using Convolutional Neural Networks

Investigating several configurations of CNNs to classify input images.

A real time BigData system for analysis of online Persian Twitter data

Developing a real-time data pipeline using BigData tools such as Apache Kafka, Docker, etc.

Analyzing a real dataset with R programming language

With the help of statistical tests, we were able to verify the accuracy of our guesses and make confident statements.

Analyzing a real dataset with R programming language

Using Apache Spark for NLP, Log mining, Stock and Graph tasks

Performing multiple tasks such as Spark for NLP, LogFile Mining with Spark, Stock Market Analysis with Spark, and Spark GraphX.

Using Apache Spark for NLP, Log mining, Stock and Graph tasks