In most of the countries, buildings are often one of the major energy consumers, leading to
the necessity of achieving sustainable building designs, and to the mandatory use of …

Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence
research. It is also one of the most popular scientific research trends now-a-days. Deep …

Deep reinforcement learning is the combination of reinforcement learning (RL) and deep
learning. This field of research has been able to solve a wide range of complex …

Recently, researchers have made significant progress combining the advances in deep
learning for learning feature representations with reinforcement learning. Some notable …

We give here a brief overview of the use of machine learning (ML) in our field, for chemists
and materials scientists with no experience with these techniques. We illustrate the workflow …

Neural networks have been extensively applied to short-term traffic prediction in the past
years. This study proposes a novel architecture of neural networks, Long Short-Term Neural …

Intelligent Transportation System (ITS) is a significant part of smart city, and short-term traffic
flow prediction plays an important role in intelligent transportation management and route …

Deep reinforcement learning (deep RL) research has grown significantly in recent years. A
number of software offerings now exist that provide stable, comprehensive implementations …

Statistical machine learning methods are increasingly used for neuroimaging data analysis.
Their main virtue is their ability to model high-dimensional datasets, eg multivariate analysis …

Orange is a machine learning and data mining suite for data analysis through Python
scripting and visual programming. Here we report on the scripting part, which features …