Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of […]
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static […]
Many simple natural phenomena are characterized by complex motion that appears random at first glance, but that often displays underlying […]
Machine learning methods are becoming increasingly important for the development of materials science. In spite of this, the use of […]
Machine learning algorithms have been available since the 1990s, but it is much more recently that they have come into […]
Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via […]
The efficient market hypothesis has far-reaching implications for financial trading and market stability. Whether or not cryptocurrencies are informationally efficient […]
Understanding the causes of crime is a longstanding issue in researcher’s agenda. While it is a hard task to extract […]