Existing studies for automatic waveform recognition of overlapping signals have mostly been
conducted in a supervised manner. Although demonstrating superior performance in recent …

Automatic waveform recognition of overlapping low probability of intercept (LPI) radar
signals is an important and challenging task in electronic reconnaissance of the increasingly …

This book is based on my Ph. D. dissertation completed at Ghent University (Belgium) and
the University of Granada (Spain) in June 2018. It focuses on classification. The goal is to …

Convolution Neural Networks (CNN) have performed well in many applications such as
object detection, pattern recognition, video surveillance and so on. CNN carryout feature …

Convolution Neural Networks (CNN) have performed well in many applications such as
object detection, pattern recognition, video surveillance and so on. CNN carryout feature …

This master's thesis is mostly about using similarity relations for multi-instance classification.
Multi-instance classification, like any other classification problem, tries to classify objects to …

There are some challenges in processing big data, namely multilabel enormous size that the
affect may the time and the computing nature of the multilabel which data further complicate …