The keys for the development of an effective classification algorithm are: 1) discovering feature spaces with large margins between clusters and close proximity of the classmates and 2) discovering ...

Optimizing neural network classification by using the Cuckoo algorithm Abstract: ... The results show that the neural network optimizing by Cuckoo algorithm has faster convergence speed, higher ...

Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...

Neural networks are more powerful than these alternatives, in both the mathematical sense and ordinary language sense, but neural networks are more complex than the alternatives. Let me reiterate that ...

Keywords: robot image classification, CapsNet neural network, MobileNetV2, attention module, spatial and channel information. Citation: Zhang J, Yu X, Lei X and Wu C (2022) A novel CapsNet neural ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Using a convolution neural network algorithm, this automated external defibrillator device enters the challenging field to improve bystander defibrillation, the detection of a shockable rhythm, and to ...