.... A dataset of 516 images, acquired under controlled conditions, was used to train the model. The system predicts flowering success into three categories: low, moderate and high. Four convolutional neural networks architectures (VGG16, ResNet50, MobileNet and Inception) were evaluated using Adam and Adamax...

... augmentation Data augmentation Audio classification Spectrogram Convolutional neural network The functions for the augmentation methods working on spectrograms are grouped in the folder ./tools/images/. In addition to our implementations of methods such as noiseS.m, spectrogramShift.m...

.../licences/by/4.0/legalcode Convolutional neural network Fine-tuning Plankton classification Coral classification Oceans are the essential lifeblood of the Earth: they provide over 70% of the oxygen and over 97% of the water. Without our oceans, all life, including humans, would not survive...