_ Deep learning

A Time Step Cascade CNN-LSTM neural network for predicting adjusted close price of 5 largest firms in Tehran stock exchange

Tehran stock exchange has gained a lot of attention through recent years This is because of the commercial benefits that it has for individual invest…

Deep Reinforcement Learning for Grid world with changing obstacles and investigating the effect of learning rate on received rewards

This paper discusses solving the Grid World with Changing Obstacles GWCO problem with the Deep Reinforcement Learning Deep RL method In the GWCO prob…

Video Classification with Multi-Channel Convolutional Neural Networks

In this paper, we examined different ways for classifying videos with two dimensional Convolutional Neural Networks CNNs By calculating energy of opt…

New Platform for Automatic Iranian License Plate Detection and Recognition using Deep Learning Techniques

In our modern world where the population of the cars and vehicles are growing fast, controllinsssg is an important issue There are lots of methods wh…

Application of Convolution and Auto-Encoder Neural-Networks in Medical-Equipment and Soft-Sensors Based on Deep-Learning Approach

Natural Language Processing Based on Deep Learning and Model Evaluation

Deep learning is a branch of machine learning discussion and a set of algorithms that attempt to model high level abstractions using learning at diff…

An Applicational Approach Toward comparing Deep Learning Based Methods and Classical Machine Learning Methods in Traffic Industry

Deep learning based methods are growing among researchers in different machine vision fields In traffic industry, many applications are switching fro…

Practices and use of artificial intelligence in cyber security

Over the years, with the development of the Internet, although the main motives for cyberattacks have remained largely unchanged, cybercriminals have…