Hussein A. Al-Barazanchi

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One of the most investigated methods to increase the accuracy of convolutional neural networks (CNN) is by increasing its depth. However, increasing the depth also increases the number of parameters, which makes convergence of backpropagation very slow and prone to overfitting. Convolutional networks with deep supervision (CNDS) add auxiliary branch to(More)
The study of plankton distribution is an important tool used for assessing the changes to marine ecosystem. Having a robust automated system for classification of plankton images plays an important role in advancing marine biology research. The images used in this study come from the SIPPER system. The challenges with SIPPER’s plankton image dataset are the(More)
Convolutional Neural Networks nowadays are of tremendous importance for any image classification system. One of the most investigated methods to increase the accuracy of CNN is by increasing the depth of CNN. Increasing the depth by stacking more layers also increases the difficulty of training besides making it computationally expensive. Some research(More)
Plankton are a diverse group of organisms that live in large bodies of water. They are a major souce of food for fishes and other larger aquatic organisms. The distribution of plankton plays an important role in the marine ecosystem. The study of plankton distribution relies heavily on classification of plankton images taken by underwater imaging systems.(More)
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