The automatic modulation classification of signals is great importance in modern communications, especially on cognitive radio. Several methods have been used this field, the most important which automatically using Deep Learning, where depend convolution neural network, one Learning networks, achieved high accuracy classifying modulation, so proposed network depends type deep learning CNN cons...

<span>The field of wild fish classification faces many challenges such as the amount training data, pose variation and uncontrolled environmental settings. This research work introduces a hybrid genetic algorithm (GA) that integrates simulated annealing (SA) with back-propagation (GSB classifier) to make process. The is based on determining suitable set extracted features using color sign...

Image classification research is one of the fields continuously studied in computer vision domain, and several related studies have been actively conducted until recently. However, a limit exists regarding prediction performance real-world datasets due to data imbalance problem between classes. Data augmentation through artificial sample generation for minority classes methods used overcome thi...