The nature of manufacturing systems faces ever more complex, dynamic and at times even
chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an …

Supervised machine learning is the construction of algorithms that are able to produce
general patterns and hypotheses by using externally supplied instances to predict the fate of …

Rockburst prediction is of crucial importance to the design and construction of many
underground projects. Insufficient knowledge, lack of characterizing information, and noisy …

Classification is a data mining technique used to predict group membership for data
instances within a given dataset. It is used for classifying data into different classes by …

In business, consumers interest, behavior, product profits are the insights required to predict
the future of business with the current data or historical data. These insights can be …

Human emotion recognition using brain signals is an active research topic in the field of
affective computing. Music is considered as a powerful tool for arousing emotions in human …

In an urban environment, intersections are critical locations in terms of road crashes and
number of killed or injured people. Vehicular ad hoc networks (VANETs) can help reduce …

Microarray experiments generally deal with complex and high-dimensional samples, and in
addition, the number of samples is much smaller than their dimensions. Both issues can be …

Crowdfunding platforms offer founders the possibility to collect funding for project realization.
With the advent of these platforms, the risk of fraud has risen. Fraudulent founders provide …

Background The natural sciences, such as ecology and earth science, study complex
interactions between biotic and abiotic systems in order to understand and make …